William Swedler
- Rheumatology top 2%
- Immunology top 10%
- Molecular Biology
- Oncology
- Physiology
- Co-authors
- Timothy B. NiewoldShiva ShahraraSuncica VolkovJohn L. SkoseyMichael V. VolinNadera SweissShiva AramiZhenlong Chen
- Topics
- Rheumatoid Arthritis Research and Therapies (8 papers)Systemic Lupus Erythematosus Research (6 papers)Cell Adhesion Molecules Research (3 papers)
- Partner nations
- United StatesCzechiaGermany
In The Last Decade
William Swedler
19 papers receiving 994 citations
Peers
Comparison fields: 5 of 88
- Rheumatology 437
- Immunology 365
- Molecular Biology 204
- Oncology 158
- Physiology 126
Countries citing papers authored by William Swedler
This map shows the geographic impact of William Swedler'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 William Swedler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William Swedler more than expected).
Fields of papers citing papers by William Swedler
This network shows the impact of papers produced by William Swedler. 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 William Swedler. The network helps show where William Swedler may publish in the future.
Co-authorship network of co-authors of William Swedler
This figure shows the co-authorship network connecting the top 25 collaborators of William Swedler. A scholar is included among the top collaborators of William Swedler 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 William Swedler. William Swedler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 28 | |
| 2 | 85 | |
| 3 | 47 | |
| 4 | 91 | |
| 5 | 55 | |
| 6 | 65 | |
| 7 | 35 | |
| 8 | 69 | |
| 9 | 137 | |
| 10 | Infection with uncommon subgroup Y Neisseria meningitidis in patients with systemic lupus erythematosus. | 6 |
| 11 | 124 | |
| 12 | Routine measurement of IgM, IgG, and IgA rheumatoid factors: high sensitivity, specificity, and predictive value for rheumatoid arthritis. | 63 |
| 13 | 15 | |
| 14 | 16 | |
| 15 | 64 | |
| 16 | Myasthenia gravis and scleroderma. | 8 |
| 17 | Systemic lupus erythematosus and Hodgkin's lymphoma. | 16 |
| 18 | 93 | |
| 19 | 8 |
About William Swedler
William Swedler is a scholar working on Rheumatology, Immunology and Allergy and Neurology, having authored 19 papers that have together received 1.0k indexed citations. Recurring topics across this work include Rheumatoid Arthritis Research and Therapies (8 papers), Systemic Lupus Erythematosus Research (6 papers) and Cell Adhesion Molecules Research (3 papers). The work is most often cited by research in Rheumatology (437 citations), Immunology (365 citations) and Endocrine and Autonomic Systems (66 citations). William Swedler has collaborated with scholars based in United States, Czechia and Germany. Frequent co-authors include Timothy B. Niewold, Shiva Shahrara, Suncica Volkov, John L. Skosey, Michael V. Volin, Nadera Sweiss, Shiva Arami, Zhenlong Chen, Milenko Lazarevic and Nathan D. Chamberlain. Their work appears in journals such as The Journal of Immunology, CHEST Journal 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.