Kathryn Calame
- Immunology top 0.1%
- Molecular Biology top 0.5%
- Oncology top 1%
- Radiology, Nuclear Medicine and Imaging top 0.5%
- Genetics top 1%
- Co-authors
- Miriam A. ShelefKuo‐I LinCristina Angelin‐DuclosGislâine A. MartinsAndrew J. HendersonJerry LiaoMark M. DavisTracy C. Kuo
- Topics
- T-cell and B-cell Immunology (50 papers)Immune Cell Function and Interaction (48 papers)Monoclonal and Polyclonal Antibodies Research (30 papers)
- Cited by
- ImmunologyVirologyMolecular Biology
- Partner nations
- United StatesJapanCanada
In The Last Decade
Kathryn Calame
143 papers receiving 15.4k citations
Hit Papers
Peers
Comparison fields: 5 of 135
- Immunology 8.7k
- Molecular Biology 7.0k
- Oncology 2.3k
- Radiology, Nuclear Medicine and Imaging 1.6k
- Genetics 1.5k
Countries citing papers authored by Kathryn Calame
This map shows the geographic impact of Kathryn Calame'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 Calame with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kathryn Calame more than expected).
Fields of papers citing papers by Kathryn Calame
This network shows the impact of papers produced by Kathryn Calame. 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 Calame. The network helps show where Kathryn Calame may publish in the future.
Co-authorship network of co-authors of Kathryn Calame
This figure shows the co-authorship network connecting the top 25 collaborators of Kathryn Calame. A scholar is included among the top collaborators of Kathryn Calame 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 Calame. Kathryn Calame is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 26 | |
| 2 | 116 | |
| 3 | 122 | |
| 4 | 31 | |
| 5 | 25 | |
| 6 | 178 | |
| 7 | An immunoglobulin heavy chain variable region gene is generated from three segments of DNA: VH, D and JH. 1980. | 1 |
| 8 | 292 | |
| 9 | Blimp-1 Is Required for the Formation of Immunoglobulin Secreting Plasma Cells and Pre-Plasma Memory B Cellsbreakdown → | 653 |
| 10 | 353 | |
| 11 | 262 | |
| 12 | 130 | |
| 13 | 30 | |
| 14 | 51 | |
| 15 | 115 | |
| 16 | 57 | |
| 17 | 29 | |
| 18 | 98 | |
| 19 | 46 | |
| 20 | 5 |
About Kathryn Calame
Kathryn Calame is a scholar working on Immunology, Hematology and Radiology, Nuclear Medicine and Imaging, having authored 144 papers that have together received 15.8k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (50 papers), Immune Cell Function and Interaction (48 papers) and Monoclonal and Polyclonal Antibodies Research (30 papers). The work is most often cited by research in Immunology (8.7k citations), Virology (496 citations) and Molecular Biology (7.0k citations). Kathryn Calame has collaborated with scholars based in United States, Japan and Canada. Frequent co-authors include Miriam A. Shelef, Kuo‐I Lin, Cristina Angelin‐Duclos, Gislâine A. Martins, Andrew J. Henderson, Jerry Liao, Mark M. Davis, Tracy C. Kuo, Chainarong Tunyaplin and Ajay Shrivastava. Their work appears in journals such as Nature, Science and Cell.
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.