Jon Rosen

2.1k citations
24 papers · 1.6k · h-index 18

Impact in

Papers in

Jon Rosen

24 papers receiving 1.5k citations

Peers

Jon Rosen
Comparison fields: 5 of 93
  • Hematology 444
  • Endocrinology, Diabetes and Metabolism 292
  • Oncology 462
  • Immunology 310
  • Genetics 328
Replace Corinne M. Silva with:
Corinne M. Silva United States
Russell Z. Szmulewitz United States
Sébastien Jeay Switzerland
Blake Lee Neubauer United States
Michael Dukes United Kingdom
Hanibal Bohnenberger Germany
Cinzia Lanzi Italy
Giuliana Cassinelli Italy
Julie L. Boerner United States
Michael A. Shia United States
Jon Rosen relative to Corinne M. Silva United States Corinne M. Silva's profile →
Citations per field
00.5×5.5×
Corinne M. Silva · 1×
Citations per year

Countries citing papers authored by Jon Rosen

Since Specialization
Citations

This map shows the geographic impact of Jon Rosen'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 Jon Rosen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jon Rosen more than expected).

Fields of papers citing papers by Jon Rosen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jon Rosen. 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 Jon Rosen. The network helps show where Jon Rosen may publish in the future.

Co-authors

The 25 scholars most cited alongside Jon Rosen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jon Rosen Line = papers co-authored together Jon Rosen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995375
2 2008221
3 2003170
4 2005160
5 200698
6 200273
7 199569
8 200755
9
Novel, non-steroidal, selective androgen receptor modulators (SARMs) with anabolic activity in bone and muscle and improved safety profile.
200245
10 200244
11 200343
12 200842
13 200930
14 200428
15 200427
16 201425
17 200424
18 199424
19 200313
20 200712

About Jon Rosen

Jon Rosen is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Genetics, Oncology and Hematology, having authored 24 papers that have together received 1.6k indexed citations. Recurring topics across this work include Platelet Disorders and Treatments (6 papers), Estrogen and related hormone effects (6 papers), Hormonal and reproductive studies (4 papers), Glycosylation and Glycoproteins Research (4 papers), Cytokine Signaling Pathways and Interactions (3 papers), Sexual Differentiation and Disorders (3 papers), Adrenal Hormones and Disorders (3 papers) and Chemokine receptors and signaling (2 papers). The work is most often cited by research in Hematology (444 citations), Endocrinology, Diabetes and Metabolism (292 citations), Oncology (462 citations), Immunology (310 citations) and Genetics (328 citations). Jon Rosen has collaborated with scholars based in United States and Canada. Frequent co-authors include Peter Lamb, Robert B. Stein, H. Martin Seidel, James Darnell, Kevin J. Duffy, Connie L. Erickson‐Miller, A. Negro‐Vilar, Evelyne Delorme, Shin‐Shay Tian and Jeffrey N. Miner. Their work appears in journals such as Blood, Endocrinology, Journal of Medicinal Chemistry, Proceedings of the National Academy of Sciences and Molecular Endocrinology.

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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