William E. Gathings
- Immunology top 5%
- Molecular Biology
- Radiology, Nuclear Medicine and Imaging top 5%
- Electrical and Electronic Engineering top 10%
- Physiology top 10%
- Co-authors
- Max D. CooperAlexander R. LawtonJay M. McDonaldMajd ZayzafoonTimothy A. HaskewShuhui LiRichard P. SwatloskiHiromi Kubagawa
- Topics
- T-cell and B-cell Immunology (15 papers)Monoclonal and Polyclonal Antibodies Research (10 papers)Immunodeficiency and Autoimmune Disorders (9 papers)
- Cited by
- ImmunologyAgingGenetics
- Partner nations
- United StatesIndiaUnited Kingdom
In The Last Decade
William E. Gathings
24 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 102
- Immunology 858
- Molecular Biology 349
- Radiology, Nuclear Medicine and Imaging 336
- Electrical and Electronic Engineering 320
- Physiology 264
Countries citing papers authored by William E. Gathings
This map shows the geographic impact of William E. Gathings'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 E. Gathings with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William E. Gathings more than expected).
Fields of papers citing papers by William E. Gathings
This network shows the impact of papers produced by William E. Gathings. 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 E. Gathings. The network helps show where William E. Gathings may publish in the future.
Co-authorship network of co-authors of William E. Gathings
This figure shows the co-authorship network connecting the top 25 collaborators of William E. Gathings. A scholar is included among the top collaborators of William E. Gathings 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 E. Gathings. William E. Gathings is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 118 | |
| 2 | 245 | |
| 3 | 29 | |
| 4 | 18 | |
| 5 | 19 | |
| 6 | 32 | |
| 7 | 6 | |
| 8 | 14 | |
| 9 | 14 | |
| 10 | 42 | |
| 11 | 2 | |
| 12 | 51 | |
| 13 | 18 | |
| 14 | 2 | |
| 15 | 97 | |
| 16 | 21 | |
| 17 | Immunofluorescent studies of the development of pre‐B cells, B lymphocytes and immunoglobulin isotype diversity in humansbreakdown → | 385 |
| 18 | 182 | |
| 19 | 43 | |
| 20 | 16 |
About William E. Gathings
William E. Gathings is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging and Genetics, having authored 24 papers that have together received 1.8k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (15 papers), Monoclonal and Polyclonal Antibodies Research (10 papers) and Immunodeficiency and Autoimmune Disorders (9 papers). The work is most often cited by research in Immunology (858 citations), Aging (53 citations) and Genetics (233 citations). William E. Gathings has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Max D. Cooper, Alexander R. Lawton, Jay M. McDonald, Majd Zayzafoon, Timothy A. Haskew, Shuhui Li, Richard P. Swatloski, Hiromi Kubagawa, John F. Kearney and M C Raff. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and The Lancet.
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.