Connor E. Rosen
Impact in
- Rheumatology top 5%
- GDF15 and Related Biomarkers
- Molecular Biology top 10%
- Gut microbiota and health
- Receptor Mechanisms and Signaling
- Protein Kinase Regulation and GTPase Signaling
Papers in
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- Vector-borne infectious diseases 3
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- Gut microbiota and health 5
- Ubiquitin and proteasome pathways 1
- Protein Kinase Regulation and GTPase Signaling 1
- Receptor Mechanisms and Signaling 1
- Co-authors
- Aaron M. Ring (10 shared papers)Noah W. Palm (8 shared papers)Yi Yang (3 shared papers)Erica L. Herzog (1 shared paper)Lawrence H. Young (1 shared paper)Amy M. Ahasic (1 shared paper)Margaret A. Pisani (1 shared paper)Agata Anna Bielecka (2 shared papers)
- Journals
- Cell (3 papers)Cell Host & Microbe (2 papers)Nature (2 papers)Journal of Clinical Investigation (1 paper)BioEssays (1 paper)
- Partner nations
- United StatesChinaNetherlands
In The Last Decade
Connor E. Rosen
16 papers receiving 1.4k citations
Connor E. Rosen's Hit Papers
Peers
Comparison fields: 5 of 65
- Rheumatology 124
- Molecular Biology 412
- Immunology 94
- Oncology 93
- Aging 4
Countries citing papers authored by Connor E. Rosen
This map shows the geographic impact of Connor E. 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 Connor E. Rosen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Connor E. Rosen more than expected).
Fields of papers citing papers by Connor E. Rosen
This network shows the impact of papers produced by Connor E. 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 Connor E. Rosen. The network helps show where Connor E. Rosen may publish in the future.
Co-authors
The 25 scholars most cited alongside Connor E. Rosen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | GDF15 Is an Inflammation-Induced Central Mediator of Tissue Tolerance Hit paper breakdown → | 2019 | 411 |
| 2 | 2020 | 293 | |
| 3 | 2019 | 289 | |
| 4 | 2015 | 91 | |
| 5 | 2022 | 64 | |
| 6 | 2023 | 56 | |
| 7 | 2022 | 52 | |
| 8 | 2017 | 38 | |
| 9 | 2024 | 33 | |
| 10 | 2018 | 30 | |
| 11 | 2013 | 23 | |
| 12 | 2014 | 18 | |
| 13 | 2020 | 13 | |
| 14 | 2020 | 6 | |
| 15 | 2022 | 3 | |
| 16 | 2024 | 3 |
About Connor E. Rosen
Connor E. Rosen is a scholar working on Parasitology, Molecular Biology, Rheumatology, Oncology and Physiology, having authored 16 papers that have together received 1.4k indexed citations. Recurring topics across this work include Gut microbiota and health (5 papers), Vector-borne infectious diseases (3 papers), Ubiquitin and proteasome pathways (1 paper), Protein Kinase Regulation and GTPase Signaling (1 paper), GDF15 and Related Biomarkers (1 paper), Cancer Immunotherapy and Biomarkers (1 paper), Systemic Lupus Erythematosus Research (1 paper) and Receptor Mechanisms and Signaling (1 paper). The work is most often cited by research in Rheumatology (124 citations), Molecular Biology (412 citations), Immunology (94 citations), Oncology (93 citations) and Aging (4 citations). Connor E. Rosen has collaborated with scholars based in United States, China and Netherlands. Frequent co-authors include Aaron M. Ring, Noah W. Palm, Yi Yang, Erica L. Herzog, Lawrence H. Young, Amy M. Ahasic, Margaret A. Pisani, Agata Anna Bielecka, Brandon K. Hilliard and Ruslan M. Medzhitov. Their work appears in journals such as Cell, Cell Host & Microbe, Nature, Journal of Clinical Investigation and BioEssays.
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.