Grant W. Cannon
- Rheumatology top 0.1%
- Rheumatoid Arthritis Research and Therapies 111
- Systemic Lupus Erythematosus Research 34
- Hematology top 1%
- Autoimmune and Inflammatory Disorders Research 19
- Immunology top 2%
- Genetics top 2%
- Chronic Lymphocytic Leukemia Research 20
- Family Practice top 5%
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- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis 22
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- Lymphoma Diagnosis and Treatment 17
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- Monoclonal and Polyclonal Antibodies Research 17
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- Hepatitis C virus research 15
- Co-authors
- Ted R. MikulsMarie GriffithsGail S. KerrLiron CaplanAndreas ReimoldKaleb MichaudElaine F. RemmersBrian C. Sauer
- Cited by
- RheumatologyHematologyImmunology
- Journals
- Nature Genetics (1 paper)The Journal of Immunology (3 papers)The Journal of Clinical Endocrinology & Metabolism (1 paper)
- Partner nations
- United StatesUnited KingdomJapan
In The Last Decade
Grant W. Cannon
194 papers receiving 6.0k citations
Hit Papers
Peers
Comparison fields: 5 of 132
- Rheumatology 3.4k
- Hematology 931
- Immunology 1.2k
- Genetics 599
- Family Practice 86
Countries citing papers authored by Grant W. Cannon
This map shows the geographic impact of Grant W. Cannon'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 Grant W. Cannon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Grant W. Cannon more than expected).
Fields of papers citing papers by Grant W. Cannon
This network shows the impact of papers produced by Grant W. Cannon. 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 Grant W. Cannon. The network helps show where Grant W. Cannon may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Grant W. Cannon, 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 | 2025 | 4 | |
| 2 | 2025 | 3 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 0 | |
| 7 | 2023 | 9 | |
| 8 | 2023 | 3 | |
| 9 | 2022 | 22 | |
| 10 | 2021 | 9 | |
| 11 | 2020 | 2 | |
| 12 | 2019 | 27 | |
| 13 | 2019 | 29 | |
| 14 | 2015 | 64 | |
| 15 | 2011 | 79 | |
| 16 | 2011 | 22 | |
| 17 | 2006 | 2 | |
| 18 | 2005 | 27 | |
| 19 | 2002 | 63 | |
| 20 | 2000 | 5 |
About Grant W. Cannon
Grant W. Cannon is a scholar working on Rheumatology, Hepatology and Genetics, having authored 200 papers that have together received 6.2k indexed citations. Recurring topics across this work include Rheumatoid Arthritis Research and Therapies (111 papers), Systemic Lupus Erythematosus Research (34 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (22 papers), Chronic Lymphocytic Leukemia Research (20 papers), Autoimmune and Inflammatory Disorders Research (19 papers), Lymphoma Diagnosis and Treatment (17 papers), Monoclonal and Polyclonal Antibodies Research (17 papers) and Hepatitis C virus research (15 papers). The work is most often cited by research in Rheumatology (3.4k citations), Hematology (931 citations) and Immunology (1.2k citations). Grant W. Cannon has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Ted R. Mikuls, Marie Griffiths, Gail S. Kerr, Liron Caplan, Andreas Reimold, Kaleb Michaud, Elaine F. Remmers, Brian C. Sauer, John Ward and Geoffrey M. Thiele. Their work appears in journals such as Nature Genetics, The Journal of Immunology and The Journal of Clinical Endocrinology & Metabolism.
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.