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Connection

Lauren Fishbein to Cohort Studies

This is a "connection" page, showing publications Lauren Fishbein has written about Cohort Studies.

 
Connection Strength
 
 
 
0.214
 
  1. Wachtel H, Hutchens T, Baraban E, Schwartz LE, Montone K, Baloch Z, LiVolsi V, Krumeich L, Fraker DL, Nathanson KL, Cohen DL, Fishbein L. Predicting Metastatic Potential in Pheochromocytoma and Paraganglioma: A Comparison of PASS and GAPP Scoring Systems. J Clin Endocrinol Metab. 2020 12 01; 105(12).
    View in: PubMed
    Score: 0.085
  2. Fishbein L, Wilkerson MD. Chromaffin cell biology: inferences from The Cancer Genome Atlas. Cell Tissue Res. 2018 05; 372(2):339-346.
    View in: PubMed
    Score: 0.070
  3. Krumeich LN, Cucchiara AJ, Nathanson KL, Kelz RR, Fishbein L, Fraker DL, Roses RE, Cohen DL, Wachtel H. Correlation Between Plasma Catecholamines, Weight, and Diabetes in Pheochromocytoma and Paraganglioma. J Clin Endocrinol Metab. 2021 09 27; 106(10):e4028-e4038.
    View in: PubMed
    Score: 0.022
  4. Armaiz-Pena G, Flores SK, Cheng ZM, Zhang X, Esquivel E, Poullard N, Vaidyanathan A, Liu Q, Michalek J, Santillan-Gomez AA, Liss M, Ahmadi S, Katselnik D, Maldonado E, Salgado SA, Jimenez C, Fishbein L, Hamidi O, Else T, Lechan R, Tischler AS, Benn DE, Dwight T, Clifton-Bligh R, Sanso G, Barontini M, Vincent D, Aronin N, Biondi B, Koops M, Bowhay-Carnes E, Gimenez-Roqueplo AP, Alvarez-Eslava A, Bruder JM, Kitano M, Burnichon N, Ding Y, Dahia PLM. Genotype-Phenotype Features of Germline Variants of the TMEM127 Pheochromocytoma Susceptibility Gene: A 10-Year Update. J Clin Endocrinol Metab. 2021 01 01; 106(1):e350-e364.
    View in: PubMed
    Score: 0.021
  5. Jean S, Li J, Katsaros D, Wubbenhorst B, Maxwell KN, Fishbein L, McLane MW, Benedetto C, Canuto EM, Mitra N, Zhang L, Nathanson KL, Tanyi JL. Paclitaxel is necessary for improved survival in epithelial ovarian cancers with homologous recombination gene mutations. Oncotarget. 2016 Jul 26; 7(30):48577-48585.
    View in: PubMed
    Score: 0.016
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.

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