Nicole S. Zelin

479 total citations · 1 hit paper
13 papers, 308 citations indexed

About

Nicole S. Zelin is a scholar working on Social Psychology, Infectious Diseases and Sociology and Political Science. According to data from OpenAlex, Nicole S. Zelin has authored 13 papers receiving a total of 308 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Social Psychology, 3 papers in Infectious Diseases and 3 papers in Sociology and Political Science. Recurrent topics in Nicole S. Zelin's work include LGBTQ Health, Identity, and Policy (4 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and Machine Learning in Healthcare (2 papers). Nicole S. Zelin is often cited by papers focused on LGBTQ Health, Identity, and Policy (4 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and Machine Learning in Healthcare (2 papers). Nicole S. Zelin collaborates with scholars based in United States, Belgium and Romania. Nicole S. Zelin's co-authors include Ambrose H. Wong, Laura D. Cramer, Dowin Boatright, Elizabeth A. Samuels, Darin Latimore, Stephen J. Huot, Mayur M. Desai, Cary P. Gross, Katherine A. Hill and Brendin R. Beaulieu‐Jones and has published in prestigious journals such as JAMA Internal Medicine, The Journal of Sex Research and Clinical Therapeutics.

In The Last Decade

Nicole S. Zelin

13 papers receiving 301 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Assessment of the Prevalence of Medical Student Mistreatment by Sex, Race/Ethnicity, and Sexual Orientation

2020 159 citations Katherine A. Hill, Elizabeth A. Samuels et al. JAMA Internal Medicine profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Nicole S. Zelin United States	8	153	114	108	82	66	13	308
Aviva G. Nathan United States	11	46 0.3×	63 0.6×	132 1.2×	136 1.7×	53 0.8×	21	455
Victoria Hayes United States	7	38 0.2×	284 2.5×	62 0.6×	90 1.1×	33 0.5×	21	406
Megan M. Ruprecht United States	8	40 0.3×	24 0.2×	165 1.5×	97 1.2×	78 1.2×	20	359
Carolyn Wolf-Gould United States	7	53 0.3×	65 0.6×	258 2.4×	27 0.3×	76 1.2×	11	355
Lena Sorensen United States	9	23 0.2×	37 0.3×	141 1.3×	145 1.8×	62 0.9×	15	345
Theodore E. Schall United States	10	33 0.2×	172 1.5×	108 1.0×	89 1.1×	41 0.6×	18	402
Erin Ziegler Canada	9	28 0.2×	41 0.4×	97 0.9×	49 0.6×	42 0.6×	37	222
Emma G. Thomas United States	8	71 0.5×	83 0.7×	25 0.2×	113 1.4×	96 1.5×	16	328
Will Damon United States	7	21 0.1×	92 0.8×	74 0.7×	145 1.8×	98 1.5×	9	337
Martina T. Caldwell United States	7	73 0.5×	92 0.8×	11 0.1×	57 0.7×	26 0.4×	22	205

Countries citing papers authored by Nicole S. Zelin

Since Specialization

Citations

This map shows the geographic impact of Nicole S. Zelin's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Nicole S. Zelin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicole S. Zelin more than expected).

Fields of papers citing papers by Nicole S. Zelin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nicole S. Zelin. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Nicole S. Zelin. The network helps show where Nicole S. Zelin may publish in the future.

Co-authorship network of co-authors of Nicole S. Zelin

This figure shows the co-authorship network connecting the top 25 collaborators of Nicole S. Zelin. A scholar is included among the top collaborators of Nicole S. Zelin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nicole S. Zelin. Nicole S. Zelin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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13 of 13 papers shown

Zelin, Nicole S., Anurag Garikipati, Emily Pellegrini, et al.. (2022). A comparative analysis of machine learning approaches to predict C. difficile infection in hospitalized patients. American Journal of Infection Control. 50(3). 250–257. 10 indexed citations

Zelin, Nicole S., et al.. (2022). Sexual Orientation and Racial Bias in Relation to Medical Specialty. Journal of Homosexuality. 71(3). 574–599. 3 indexed citations

Lam, Charles, Anna Siefkas, Nicole S. Zelin, et al.. (2021). Using Machine Learning as a Precision Medicine Approach for Remdesivir and Corticosteroids as COVID-19 Pharmacotherapies. Clinical Therapeutics. 1 indexed citations

Garikipati, Anurag, Nicole S. Zelin, Emily Pellegrini, et al.. (2021). Prediction of short-term mortality in acute heart failure patients using minimal electronic health record data. BioData Mining. 14(1). 23–23. 10 indexed citations

Lam, Carson, Anna Siefkas, Nicole S. Zelin, et al.. (2021). Machine Learning as a Precision-Medicine Approach to Prescribing COVID-19 Pharmacotherapy with Remdesivir or Corticosteroids. Clinical Therapeutics. 43(5). 871–885. 11 indexed citations

Lam, Carson, Nicole S. Zelin, Emily Pellegrini, et al.. (2021). Retrospective validation of a machine learning clinical decision support tool for myocardial infarction risk stratification. Healthcare Technology Letters. 8(6). 139–147. 7 indexed citations

Garikipati, Anurag, Nicole S. Zelin, Emily Pellegrini, et al.. (2021). A Gradient-Boosted Decision-Tree Algorithm for the Prediction of Short-Term Mortality in Acute Heart Failure Patients. Cardiovascular revascularization medicine. 28. S19–S19. 2 indexed citations

Hensel, Devon J., et al.. (2021). “OMG, Yes!”: Feasibility, Acceptability, and Preliminary Efficacy of an Online Intervention for Female Sexual Pleasure. The Journal of Sex Research. 59(3). 269–282. 8 indexed citations

Hill, Katherine A., Elizabeth A. Samuels, Cary P. Gross, et al.. (2020). Assessment of the Prevalence of Medical Student Mistreatment by Sex, Race/Ethnicity, and Sexual Orientation. JAMA Internal Medicine. 180(5). 653–653. 159 indexed citations breakdown →

10.

Encandela, John, et al.. (2019). Principles and Practices for Developing an Integrated Medical School Curricular Sequence About Sexual and Gender Minority Health. Teaching and Learning in Medicine. 31(3). 319–334. 23 indexed citations

11.

Zelin, Nicole S., et al.. (2019). An Analysis of the Presence and Composition of OutLists at United States, Canadian, and European Medical Institutions. Journal of Homosexuality. 67(14). 1999–2013. 5 indexed citations

12.

Zelin, Nicole S., et al.. (2019). Pediatric Residents’ Beliefs and Behaviors About Health Care for Sexual and Gender Minority Youth. Clinical Pediatrics. 58(13). 1415–1422. 10 indexed citations

13.

Zelin, Nicole S., et al.. (2018). Sexual and gender minority health in medical curricula in new England: a pilot study of medical student comfort, competence and perception of curricula. Medical Education Online. 23(1). 1461513–1461513. 59 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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