 Connection
Vanessa Phelan to Metabolomics
This is a "connection" page, showing publications Vanessa Phelan has written about Metabolomics.
|
|
| |
Connection Strength |
|
 |
|
 |
| |
0.949 |
|
|
|
-
Phelan VV. Feature-Based Molecular Networking for Metabolite Annotation. Methods Mol Biol. 2020; 2104:227-243.
Score: 0.450
-
Damiani T, Jarmusch AK, Aron AT, Petras D, Phelan VV, Zhao HN, Bittremieux W, Acharya DD, Ahmed MMA, Bauermeister A, Bertin MJ, Boudreau PD, Borges RM, Bowen BP, Brown CJ, Chagas FO, Clevenger KD, Correia MSP, Crandall WJ, Cr?semann M, Fahy E, Fiehn O, Garg N, Gerwick WH, Gilbert JR, Globisch D, Gomes PWP, Heuckeroth S, James CA, Jarmusch SA, Kakhkhorov SA, Kang KB, Kessler N, Kersten RD, Kim H, Kirk RD, Kohlbacher O, Kontou EE, Liu K, Lizama-Chamu I, Luu GT, Luzzatto Knaan T, Mannochio-Russo H, Marty MT, Matsuzawa Y, McAvoy AC, McCall LI, Mohamed OG, Nahor O, Neuweger H, Niedermeyer THJ, Nishida K, Northen TR, Overdahl KE, Rainer J, Reher R, Rodriguez E, Sachsenberg TT, Sanchez LM, Schmid R, Stevens C, Subramaniam S, Tian Z, Tripathi A, Tsugawa H, van der Hooft JJJ, Vicini A, Walter A, Weber T, Xiong Q, Xu T, Pluskal T, Dorrestein PC, Wang M. A universal language for finding mass spectrometry data patterns. Nat Methods. 2025 Jun; 22(6):1247-1254.
Score: 0.163
-
Wang X, Strobel M, Aron AT, Phelan VV, Acharya DD, Brown CJ, Clevenger K, Hu J, Kretsch A, Mahood EH, Menegatti C, Xiong Q, Wang M. Network Topology Evaluation and Transitive Alignments for Molecular Networking. J Am Soc Mass Spectrom. 2024 Sep 04; 35(9):2165-2175.
Score: 0.155
-
Neve RL, Giedraitis E, Akbari MS, Cohen S, Phelan VV. Secondary metabolite profiling of Pseudomonas aeruginosa isolates reveals rare genomic traits. mSystems. 2024 May 16; 9(5):e0033924.
Score: 0.151
-
Nothias LF, Petras D, Schmid R, D?hrkop K, Rainer J, Sarvepalli A, Protsyuk I, Ernst M, Tsugawa H, Fleischauer M, Aicheler F, Aksenov AA, Alka O, Allard PM, Barsch A, Cachet X, Caraballo-Rodriguez AM, Da Silva RR, Dang T, Garg N, Gauglitz JM, Gurevich A, Isaac G, Jarmusch AK, Kamen?k Z, Kang KB, Kessler N, Koester I, Korf A, Le Gouellec A, Ludwig M, Martin H C, McCall LI, McSayles J, Meyer SW, Mohimani H, Morsy M, Moyne O, Neumann S, Neuweger H, Nguyen NH, Nothias-Esposito M, Paolini J, Phelan VV, Pluskal T, Quinn RA, Rogers S, Shrestha B, Tripathi A, van der Hooft JJJ, Vargas F, Weldon KC, Witting M, Yang H, Zhang Z, Zubeil F, Kohlbacher O, B?cker S, Alexandrov T, Bandeira N, Wang M, Dorrestein PC. Feature-based molecular networking in the GNPS analysis environment. Nat Methods. 2020 09; 17(9):905-908.
Score: 0.029
|
Connection Strength
The connection strength for concepts is the sum of the scores for each matching publication.
Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
|