David A. Savitsky
- Immunology top 1%
- Molecular Biology top 10%
- Oncology top 5%
- Cancer Research top 10%
- Epidemiology top 10%
- Co-authors
- Tadatsugu TaniguchiHideyuki YanaiTomohiko TamuraKathryn CalameKenya HondaTatsuma BanSho HangaiRyuji Koshiba
- Topics
- Immune Cell Function and Interaction (10 papers)Monoclonal and Polyclonal Antibodies Research (10 papers)CAR-T cell therapy research (9 papers)
- Partner nations
- United StatesJapanCzechia
In The Last Decade
David A. Savitsky
25 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 93
- Immunology 1.8k
- Molecular Biology 788
- Oncology 588
- Cancer Research 288
- Epidemiology 267
Countries citing papers authored by David A. Savitsky
This map shows the geographic impact of David A. Savitsky'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 David A. Savitsky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David A. Savitsky more than expected).
Fields of papers citing papers by David A. Savitsky
This network shows the impact of papers produced by David A. Savitsky. 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 David A. Savitsky. The network helps show where David A. Savitsky may publish in the future.
Co-authorship network of co-authors of David A. Savitsky
This figure shows the co-authorship network connecting the top 25 collaborators of David A. Savitsky. A scholar is included among the top collaborators of David A. Savitsky 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 David A. Savitsky. David A. Savitsky 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 | 3 | |
| 3 | 6 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 64 | |
| 8 | 22 | |
| 9 | 6 | |
| 10 | 4 | |
| 11 | 77 | |
| 12 | 240 | |
| 13 | 26 | |
| 14 | HMGB proteins function as universal sentinels for nucleic-acid-mediated innate immune responsesbreakdown → | 548 |
| 15 | 51 | |
| 16 | The IRF Family Transcription Factors in Immunity and Oncogenesisbreakdown → | 1011 |
| 17 | 10 | |
| 18 | 127 | |
| 19 | 178 | |
| 20 | A Publisher's Guidelines for Educational Software Development. | 0 |
About David A. Savitsky
David A. Savitsky is a scholar working on Immunology, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 28 papers that have together received 2.6k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (10 papers), Monoclonal and Polyclonal Antibodies Research (10 papers) and CAR-T cell therapy research (9 papers). The work is most often cited by research in Immunology (1.8k citations), Clinical Biochemistry (176 citations) and Oncology (588 citations). David A. Savitsky has collaborated with scholars based in United States, Japan and Czechia. Frequent co-authors include Tadatsugu Taniguchi, Hideyuki Yanai, Tomohiko Tamura, Kathryn Calame, Kenya Honda, Tatsuma Ban, Sho Hangai, Ryuji Koshiba, Hideo Negishi and Yan Lu. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and The Journal of Experimental Medicine.
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.