Kathryn Haskins
- Immunology top 0.2%
- Genetics top 0.2%
- Surgery top 1%
- Endocrinology, Diabetes and Metabolism top 0.5%
- Molecular Biology top 10%
- Co-authors
- Philippa MarrackJohn W. KapplerBrenda BradleyRalph T. KuboMarcia McDuffieJ. Michael WhiteMichele PigeonChristophe Benoıst
- Topics
- Diabetes and associated disorders (80 papers)Pancreatic function and diabetes (50 papers)Immune Cell Function and Interaction (45 papers)
- Partner nations
- United StatesCanadaFrance
In The Last Decade
Kathryn Haskins
98 papers receiving 7.2k citations
Hit Papers
Peers
Comparison fields: 5 of 123
- Immunology 4.6k
- Genetics 3.6k
- Surgery 2.3k
- Endocrinology, Diabetes and Metabolism 1.5k
- Molecular Biology 945
Countries citing papers authored by Kathryn Haskins
This map shows the geographic impact of Kathryn Haskins'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 Kathryn Haskins with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kathryn Haskins more than expected).
Fields of papers citing papers by Kathryn Haskins
This network shows the impact of papers produced by Kathryn Haskins. 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 Kathryn Haskins. The network helps show where Kathryn Haskins may publish in the future.
Co-authorship network of co-authors of Kathryn Haskins
This figure shows the co-authorship network connecting the top 25 collaborators of Kathryn Haskins. A scholar is included among the top collaborators of Kathryn Haskins 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 Kathryn Haskins. Kathryn Haskins 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 | 4 | |
| 3 | 9 | |
| 4 | 5 | |
| 5 | 58 | |
| 6 | 25 | |
| 7 | Pathogenic CD4 T cells in type 1 diabetes recognize epitopes formed by peptide fusionbreakdown → | 379 |
| 8 | 39 | |
| 9 | 63 | |
| 10 | 184 | |
| 11 | Pillars Article: The Major Histocompatibility Complex-restricted Antigen Receptor on T Cells in Mouse and Man: Identification of Constant and Variable Peptides. Cell 1983; 35: 295–302. | 1 |
| 12 | 44 | |
| 13 | 75 | |
| 14 | 49 | |
| 15 | 25 | |
| 16 | 2 | |
| 17 | 55 | |
| 18 | 24 | |
| 19 | 362 | |
| 20 | The major histocompatibility complex-restricted antigen receptor on T cells. I. Isolation with a monoclonal antibody.breakdown → | 751 |
About Kathryn Haskins
Kathryn Haskins is a scholar working on Genetics, Immunology and Endocrinology, Diabetes and Metabolism, having authored 102 papers that have together received 7.4k indexed citations. Recurring topics across this work include Diabetes and associated disorders (80 papers), Pancreatic function and diabetes (50 papers) and Immune Cell Function and Interaction (45 papers). The work is most often cited by research in Immunology (4.6k citations), Genetics (3.6k citations) and Endocrinology, Diabetes and Metabolism (1.5k citations). Kathryn Haskins has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Philippa Marrack, John W. Kappler, Brenda Bradley, Ralph T. Kubo, Marcia McDuffie, J. Michael White, Michele Pigeon, Christophe Benoıst, Diane Mathis and Rocky L. Baker. Their work appears in journals such as Science, Cell and Proceedings of the National Academy of Sciences.
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.