Abhijit A. Patel
- Molecular Biology top 10%
- Cancer Research top 5%
- Pulmonary and Respiratory Medicine top 5%
- Oncology top 10%
- Radiology, Nuclear Medicine and Imaging top 10%
- Co-authors
- Joan A. SteitzDavid Y. ZhangAzeet NarayanLucia R. WuScott GettingerNicholas CarrieroRoy H. DeckerYan Helen Yan
- Topics
- Cancer Genomics and Diagnostics (16 papers)Lung Cancer Treatments and Mutations (7 papers)Cancer Immunotherapy and Biomarkers (3 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Abhijit A. Patel
25 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 103
- Molecular Biology 733
- Cancer Research 593
- Pulmonary and Respiratory Medicine 494
- Oncology 387
- Radiology, Nuclear Medicine and Imaging 171
Countries citing papers authored by Abhijit A. Patel
This map shows the geographic impact of Abhijit A. Patel'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 Abhijit A. Patel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abhijit A. Patel more than expected).
Fields of papers citing papers by Abhijit A. Patel
This network shows the impact of papers produced by Abhijit A. Patel. 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 Abhijit A. Patel. The network helps show where Abhijit A. Patel may publish in the future.
Co-authorship network of co-authors of Abhijit A. Patel
This figure shows the co-authorship network connecting the top 25 collaborators of Abhijit A. Patel. A scholar is included among the top collaborators of Abhijit A. Patel 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 Abhijit A. Patel. Abhijit A. Patel 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 | 0 | |
| 3 | 3 | |
| 4 | Limitations and opportunities of technologies for the analysis of cell-free DNA in cancer diagnosticsbreakdown → | 181 |
| 5 | 6 | |
| 6 | 43 | |
| 7 | 12 | |
| 8 | 1 | |
| 9 | 22 | |
| 10 | 55 | |
| 11 | Early Assessment of Lung Cancer Immunotherapy Response via Circulating Tumor DNAbreakdown → | 317 |
| 12 | 91 | |
| 13 | 2 | |
| 14 | 14 | |
| 15 | 1 | |
| 16 | 142 | |
| 17 | 59 | |
| 18 | 49 | |
| 19 | 105 | |
| 20 | 326 |
About Abhijit A. Patel
Abhijit A. Patel is a scholar working on Cancer Research, Pulmonary and Respiratory Medicine and Oncology, having authored 27 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (16 papers), Lung Cancer Treatments and Mutations (7 papers) and Cancer Immunotherapy and Biomarkers (3 papers). The work is most often cited by research in Cancer Research (593 citations), Radiation (137 citations) and Pulmonary and Respiratory Medicine (494 citations). Abhijit A. Patel has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Joan A. Steitz, David Y. Zhang, Azeet Narayan, Lucia R. Wu, Scott Gettinger, Nicholas Carriero, Roy H. Decker, Yan Helen Yan, Ping Song and Noah C. Choi. Their work appears in journals such as JAMA, Nucleic Acids Research 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.