Chad Storer
Impact in
- Immunology top 5%
- Immune Cell Function and Interaction
- Rheumatology top 5%
- Rheumatoid Arthritis Research and Therapies
Papers in
-
- Cell death mechanisms and regulation 1
- Oncology 4
- Cytokine Signaling Pathways and Interactions 3
- Co-authors
- Richard D. Head (7 shared papers)Ta‐Chiang Liu (5 shared papers)Thaddeus S. Stappenbeck (3 shared papers)Ramnik J. Xavier (1 shared paper)Herbert W. Virgin (1 shared paper)Ken Cadwell (1 shared paper)Aylwin Ng (1 shared paper)Khushbu Patel (1 shared paper)
- Journals
- EBioMedicine (3 papers)Nature Communications (2 papers)The Journal of Immunology (1 paper)International Immunopharmacology (1 paper)Frontiers in Immunology (1 paper)
- Partner nations
- United StatesUnited KingdomZambia
In The Last Decade
Chad Storer
18 papers receiving 1.7k citations
Chad Storer's Hit Papers
Peers
Comparison fields: 5 of 95
- Immunology 406
- Rheumatology 276
- Infectious Diseases 286
- Genetics 320
- Oncology 266
Countries citing papers authored by Chad Storer
This map shows the geographic impact of Chad Storer'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 Chad Storer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chad Storer more than expected).
Fields of papers citing papers by Chad Storer
This network shows the impact of papers produced by Chad Storer. 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 Chad Storer. The network helps show where Chad Storer may publish in the future.
Co-authors
The 25 scholars most cited alongside Chad Storer, 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 | Virus-Plus-Susceptibility Gene Interaction Determines Crohn's Disease Gene Atg16L1 Phenotypes in Intestine Hit paper breakdown → | 2010 | 716 |
| 2 | Modulation of Innate and Adaptive Immune Responses by Tofacitinib (CP-690,550) Hit paper breakdown → | 2011 | 536 |
| 3 | 2012 | 120 | |
| 4 | 2021 | 119 | |
| 5 | 2010 | 30 | |
| 6 | 2016 | 29 | |
| 7 | 2022 | 28 | |
| 8 | 2010 | 23 | |
| 9 | 2019 | 18 | |
| 10 | 2021 | 18 | |
| 11 | 2021 | 18 | |
| 12 | 2009 | 16 | |
| 13 | 2021 | 16 | |
| 14 | 2023 | 9 | |
| 15 | 2024 | 6 | |
| 16 | 2024 | 4 | |
| 17 | 2023 | 2 | |
| 18 | 2025 | 1 | |
| 19 | 2025 | 0 |
About Chad Storer
Chad Storer is a scholar working on Molecular Biology, Oncology, Immunology, Infectious Diseases and Genetics, having authored 19 papers that have together received 1.7k indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (3 papers), Infant Nutrition and Health (2 papers), Viral gastroenteritis research and epidemiology (2 papers), Viral Infections and Immunology Research (2 papers), Inflammatory Bowel Disease (2 papers), Child Nutrition and Water Access (1 paper), Cell death mechanisms and regulation (1 paper) and Immune responses and vaccinations (1 paper). The work is most often cited by research in Immunology (406 citations), Rheumatology (276 citations), Infectious Diseases (286 citations), Genetics (320 citations) and Oncology (266 citations). Chad Storer has collaborated with scholars based in United States, United Kingdom and Zambia. Frequent co-authors include Richard D. Head, Ta‐Chiang Liu, Thaddeus S. Stappenbeck, Ramnik J. Xavier, Herbert W. Virgin, Ken Cadwell, Aylwin Ng, Khushbu Patel, Michael I. Jesson and Timothy P. LaBranche. Their work appears in journals such as EBioMedicine, Nature Communications, The Journal of Immunology, International Immunopharmacology and Frontiers in Immunology.
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.