D. James Haddon
Impact in
- Rheumatology top 5%
- Systemic Lupus Erythematosus Research
- Urticaria and Related Conditions
- Immunology top 10%
- Mast cells and histamine
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
Papers in
- Immunology 12
- T-cell and B-cell Immunology 6
- Mast cells and histamine 4
- Rheumatology 10
- Systemic Lupus Erythematosus Research 9
- Co-authors
- Paul J. Utz (11 shared papers)Kelly M. McNagny (4 shared papers)Lori Zbytnuik (2 shared papers)Marie‐Renée Blanchet (2 shared papers)Imelda Balboni (4 shared papers)Justin A. Jarrell (4 shared papers)Jordan V. Price (5 shared papers)Eliza F. Chakravarty (2 shared papers)
- Journals
- Annals of the Rheumatic Diseases (2 papers)Arthritis & Rheumatology (2 papers)Arthritis Research & Therapy (2 papers)Nature Medicine (1 paper)Scientific Reports (1 paper)
- Partner nations
- United StatesCanadaIndia
In The Last Decade
D. James Haddon
18 papers receiving 623 citations
Peers
Comparison fields: 5 of 63
- Rheumatology 251
- Immunology 298
- Pathology and Forensic Medicine 162
- Genetics 76
- Immunology and Allergy 34
Countries citing papers authored by D. James Haddon
This map shows the geographic impact of D. James Haddon'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 D. James Haddon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. James Haddon more than expected).
Fields of papers citing papers by D. James Haddon
This network shows the impact of papers produced by D. James Haddon. 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 D. James Haddon. The network helps show where D. James Haddon may publish in the future.
Co-authors
The 25 scholars most cited alongside D. James Haddon, 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 | 2021 | 94 | |
| 2 | 2015 | 84 | |
| 3 | 2013 | 74 | |
| 4 | 2007 | 61 | |
| 5 | 2014 | 60 | |
| 6 | 2009 | 48 | |
| 7 | 2015 | 39 | |
| 8 | 2020 | 34 | |
| 9 | 2016 | 29 | |
| 10 | 2009 | 25 | |
| 11 | 2010 | 23 | |
| 12 | 2017 | 17 | |
| 13 | 2016 | 16 | |
| 14 | 2015 | 12 | |
| 15 | 2022 | 10 | |
| 16 | 2015 | 8 | |
| 17 | 2019 | 1 | |
| 18 | 2019 | 1 |
About D. James Haddon
D. James Haddon is a scholar working on Immunology, Rheumatology, Radiology, Nuclear Medicine and Imaging, Molecular Biology and Pathology and Forensic Medicine, having authored 18 papers that have together received 636 indexed citations. Recurring topics across this work include Systemic Lupus Erythematosus Research (9 papers), T-cell and B-cell Immunology (6 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Mast cells and histamine (4 papers), Systemic Sclerosis and Related Diseases (2 papers), Food Allergy and Anaphylaxis Research (2 papers), Autoimmune Bullous Skin Diseases (2 papers) and Single-cell and spatial transcriptomics (1 paper). The work is most often cited by research in Rheumatology (251 citations), Immunology (298 citations), Pathology and Forensic Medicine (162 citations), Genetics (76 citations) and Immunology and Allergy (34 citations). D. James Haddon has collaborated with scholars based in United States, Canada and India. Frequent co-authors include Paul J. Utz, Kelly M. McNagny, Lori Zbytnuik, Marie‐Renée Blanchet, Imelda Balboni, Justin A. Jarrell, Jordan V. Price, Eliza F. Chakravarty, Michael R. Hughes and Leland W.K. Chung. Their work appears in journals such as Annals of the Rheumatic Diseases, Arthritis & Rheumatology, Arthritis Research & Therapy, Nature Medicine and Scientific Reports.
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.