Jonathan F. Tait
- Molecular Biology top 0.5%
- Cancer Research top 0.2%
- Immunology top 2%
- Radiology, Nuclear Medicine and Imaging top 1%
- Pulmonary and Respiratory Medicine top 2%
- Co-authors
- Donald GibsonColin C. PritchardMuneesh TewariEvan M. KrohJason D. ArroyoFrancis G. BlankenbergKazuo FujikawaPerumal Thiagarajan
- Topics
- S100 Proteins and Annexins (41 papers)Cell death mechanisms and regulation (26 papers)Radiopharmaceutical Chemistry and Applications (10 papers)
- Partner nations
- United StatesJapanFrance
In The Last Decade
Jonathan F. Tait
106 papers receiving 10.1k citations
Hit Papers
Peers
Comparison fields: 5 of 141
- Molecular Biology 6.6k
- Cancer Research 3.9k
- Immunology 1.5k
- Radiology, Nuclear Medicine and Imaging 1.0k
- Pulmonary and Respiratory Medicine 953
Countries citing papers authored by Jonathan F. Tait
This map shows the geographic impact of Jonathan F. Tait'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 Jonathan F. Tait with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan F. Tait more than expected).
Fields of papers citing papers by Jonathan F. Tait
This network shows the impact of papers produced by Jonathan F. Tait. 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 Jonathan F. Tait. The network helps show where Jonathan F. Tait may publish in the future.
Co-authorship network of co-authors of Jonathan F. Tait
This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan F. Tait. A scholar is included among the top collaborators of Jonathan F. Tait 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 Jonathan F. Tait. Jonathan F. Tait is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 199 | |
| 2 | Blood Cell Origin of Circulating MicroRNAs: A Cautionary Note for Cancer Biomarker Studiesbreakdown → | 734 |
| 3 | 217 | |
| 4 | 85 | |
| 5 | 27 | |
| 6 | 111 | |
| 7 | 2 | |
| 8 | 29 | |
| 9 | 63 | |
| 10 | 31 | |
| 11 | 76 | |
| 12 | 13 | |
| 13 | 40 | |
| 14 | 48 | |
| 15 | 6 | |
| 16 | 57 | |
| 17 | 78 | |
| 18 | 17 | |
| 19 | 169 | |
| 20 | 5 |
About Jonathan F. Tait
Jonathan F. Tait is a scholar working on Hematology, Cancer Research and Molecular Biology, having authored 106 papers that have together received 10.4k indexed citations. Recurring topics across this work include S100 Proteins and Annexins (41 papers), Cell death mechanisms and regulation (26 papers) and Radiopharmaceutical Chemistry and Applications (10 papers). The work is most often cited by research in Cancer Research (3.9k citations), Molecular Biology (6.6k citations) and Hematology (918 citations). Jonathan F. Tait has collaborated with scholars based in United States, Japan and France. Frequent co-authors include Donald Gibson, Colin C. Pritchard, Muneesh Tewari, Evan M. Kroh, Jason D. Arroyo, Francis G. Blankenberg, Kazuo Fujikawa, Perumal Thiagarajan, Christina Smith and Era L. Pogosova‐Agadjanyan. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.