Norman Gaylis
- Rheumatology top 1%
- Hematology top 2%
- Immunology top 10%
- Genetics top 5%
- Pathology and Forensic Medicine top 10%
- Co-authors
- Jonathan KayJosef S SmolenElizabeth C. HsiaFrederick T. MurphyEric L. MattesonMittie K. DoyleRobert LandewéYiying Zhou
- Topics
- Rheumatoid Arthritis Research and Therapies (22 papers)Systemic Lupus Erythematosus Research (12 papers)Autoimmune and Inflammatory Disorders Research (10 papers)
- Cited by
- RheumatologyHematologyGenetics
- Partner nations
- United StatesGermanyNetherlands
In The Last Decade
Norman Gaylis
34 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 82
- Rheumatology 866
- Hematology 382
- Immunology 285
- Genetics 219
- Pathology and Forensic Medicine 143
Countries citing papers authored by Norman Gaylis
This map shows the geographic impact of Norman Gaylis'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 Norman Gaylis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Norman Gaylis more than expected).
Fields of papers citing papers by Norman Gaylis
This network shows the impact of papers produced by Norman Gaylis. 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 Norman Gaylis. The network helps show where Norman Gaylis may publish in the future.
Co-authorship network of co-authors of Norman Gaylis
This figure shows the co-authorship network connecting the top 25 collaborators of Norman Gaylis. A scholar is included among the top collaborators of Norman Gaylis based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Norman Gaylis. Norman Gaylis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 7 | |
| 4 | 11 | |
| 5 | 81 | |
| 6 | 31 | |
| 7 | 7 | |
| 8 | 3 | |
| 9 | 1 | |
| 10 | 29 | |
| 11 | 1 | |
| 12 | 17 | |
| 13 | 34 | |
| 14 | 49 | |
| 15 | 17 | |
| 16 | 43 | |
| 17 | Golimumab in patients with active rheumatoid arthritis after treatment with tumour necrosis factor α inhibitors (GO-AFTER study): a multicentre, randomised, double-blind, placebo-controlled, phase III trialbreakdown → | 423 |
| 18 | 3 | |
| 19 | 13 | |
| 20 | 88 |
About Norman Gaylis
Norman Gaylis is a scholar working on Rheumatology, Hematology and Immunology, having authored 35 papers that have together received 1.2k indexed citations. Recurring topics across this work include Rheumatoid Arthritis Research and Therapies (22 papers), Systemic Lupus Erythematosus Research (12 papers) and Autoimmune and Inflammatory Disorders Research (10 papers). The work is most often cited by research in Rheumatology (866 citations), Hematology (382 citations) and Genetics (219 citations). Norman Gaylis has collaborated with scholars based in United States, Germany and Netherlands. Frequent co-authors include Jonathan Kay, Josef S Smolen, Elizabeth C. Hsia, Frederick T. Murphy, Eric L. Matteson, Mittie K. Doyle, Robert Landewé, Yiying Zhou, J. Wollenhaupt and Sudha Visvanathan. Their work appears in journals such as The Lancet, Clinical Infectious Diseases and Annals of the Rheumatic Diseases.
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.