John C. Minnerly
Impact in
- Rheumatology top 5%
- Rheumatoid Arthritis Research and Therapies
- Osteoarthritis Treatment and Mechanisms
- Systemic Lupus Erythematosus Research
- Immunology top 10%
- Psoriasis: Treatment and Pathogenesis
- Immune Cell Function and Interaction
Papers in
-
- Glycosylation and Glycoproteins Research 2
- Oncology 4
- Cytokine Signaling Pathways and Interactions 3
- Co-authors
- Chad Storer (3 shared papers)Michael I. Jesson (2 shared papers)Debra M. Meyer (2 shared papers)Timothy P. LaBranche (2 shared papers)Nandini Kishore (1 shared paper)Massimo Gadina (1 shared paper)Richard D. Head (1 shared paper)Li Xiong (1 shared paper)
- Journals
- Biotechnology and Applied Biochemistry (1 paper)The Journal of Immunology (1 paper)Journal of Biological Chemistry (1 paper)American Journal Of Pathology (1 paper)Clinical & Experimental Immunology (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
John C. Minnerly
11 papers receiving 718 citations
Hit Papers
Peers
Comparison fields: 5 of 86
- Rheumatology 278
- Immunology 229
- Hematology 106
- Oncology 232
- Genetics 76
Countries citing papers authored by John C. Minnerly
This map shows the geographic impact of John C. Minnerly'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 John C. Minnerly with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John C. Minnerly more than expected).
Fields of papers citing papers by John C. Minnerly
This network shows the impact of papers produced by John C. Minnerly. 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 John C. Minnerly. The network helps show where John C. Minnerly may publish in the future.
Co-authors
The 25 scholars most cited alongside John C. Minnerly, 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 | Modulation of Innate and Adaptive Immune Responses by Tofacitinib (CP-690,550) Hit paper breakdown → | 2011 | 514 |
| 2 | 2007 | 81 | |
| 3 | 1992 | 62 | |
| 4 | 2010 | 21 | |
| 5 | 1999 | 20 | |
| 6 | 2009 | 16 | |
| 7 | 2001 | 12 | |
| 8 | 2013 | 10 | |
| 9 | 1995 | 5 | |
| 10 | 2002 | 3 | |
| 11 | 2003 | 1 |
About John C. Minnerly
John C. Minnerly is a scholar working on Molecular Biology, Oncology, Immunology, Rheumatology and Radiology, Nuclear Medicine and Imaging, having authored 11 papers that have together received 745 indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (3 papers), Rheumatoid Arthritis Research and Therapies (2 papers), Immune Response and Inflammation (2 papers), Glycosylation and Glycoproteins Research (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Metabolism and Genetic Disorders (1 paper), Inflammatory mediators and NSAID effects (1 paper) and Osteoarthritis Treatment and Mechanisms (1 paper). The work is most often cited by research in Rheumatology (278 citations), Immunology (229 citations), Hematology (106 citations), Oncology (232 citations) and Genetics (76 citations). John C. Minnerly has collaborated with scholars based in United States and China. Frequent co-authors include Chad Storer, Michael I. Jesson, Debra M. Meyer, Timothy P. LaBranche, Nandini Kishore, Massimo Gadina, Richard D. Head, Li Xiong, Masao Tanaka and Martin E. Dowty. Their work appears in journals such as Biotechnology and Applied Biochemistry, The Journal of Immunology, Journal of Biological Chemistry, American Journal Of Pathology and Clinical & Experimental 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.