Hulya Kaymaz
- Immunology
- General Health Professions top 10%
- Radiology, Nuclear Medicine and Imaging top 10%
- Epidemiology
- Economics and Econometrics top 10%
- Co-authors
- Anita L. StewartPhilip L. RitterKate LorigDavid S. SobelJohn J. MarchalonisSamuel F. SchluterFatma DedeoğluAllen B. Edmundson
- Topics
- Monoclonal and Polyclonal Antibodies Research (10 papers)T-cell and B-cell Immunology (8 papers)Glycosylation and Glycoproteins Research (3 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Clinical EpidemiologyAdvances in experimental medicine and biology
- Partner nations
- United StatesSwedenTürkiye
In The Last Decade
Hulya Kaymaz
11 papers receiving 581 citations
Peers
Comparison fields: 5 of 81
- Immunology 176
- General Health Professions 161
- Radiology, Nuclear Medicine and Imaging 122
- Epidemiology 103
- Economics and Econometrics 79
Countries citing papers authored by Hulya Kaymaz
This map shows the geographic impact of Hulya Kaymaz'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 Hulya Kaymaz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hulya Kaymaz more than expected).
Fields of papers citing papers by Hulya Kaymaz
This network shows the impact of papers produced by Hulya Kaymaz. 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 Hulya Kaymaz. The network helps show where Hulya Kaymaz may publish in the future.
Co-authorship network of co-authors of Hulya Kaymaz
This figure shows the co-authorship network connecting the top 25 collaborators of Hulya Kaymaz. A scholar is included among the top collaborators of Hulya Kaymaz 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 Hulya Kaymaz. Hulya Kaymaz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 345 | |
| 2 | Autoantibodies to T-cell receptor beta chains in human heart transplantation: epitope and spectrotype analyses and kinetics of response. | 4 |
| 3 | 13 | |
| 4 | 7 | |
| 5 | 14 | |
| 6 | 9 | |
| 7 | 22 | |
| 8 | 6 | |
| 9 | Human autoantibodies to a synthetic putative T cell receptor beta-chain regulatory idiotype: expression in autoimmunity and aging. | 16 |
| 10 | 16 | |
| 11 | 150 |
About Hulya Kaymaz
Hulya Kaymaz is a scholar working on Radiology, Nuclear Medicine and Imaging, Immunology and Immunology and Allergy, having authored 11 papers that have together received 602 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (10 papers), T-cell and B-cell Immunology (8 papers) and Glycosylation and Glycoproteins Research (3 papers). The work is most often cited by research in Immunology (176 citations), General Health Professions (161 citations) and Health (53 citations). Hulya Kaymaz has collaborated with scholars based in United States, Sweden and Türkiye. Frequent co-authors include Anita L. Stewart, Philip L. Ritter, Kate Lorig, David S. Sobel, John J. Marchalonis, Samuel F. Schluter, Fatma Dedeoğlu, Allen B. Edmundson, David E. Yocum and Valerie S. Hohman. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Epidemiology and Advances in experimental medicine and biology.
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.