Padma Sundareshan
- Oncology top 10%
- Molecular Biology
- Pulmonary and Respiratory Medicine
- Radiology, Nuclear Medicine and Imaging top 10%
- Cancer Research
- Co-authors
- Albert J. WongLouis M. WeinerJoseph R. TestaGregory P. AdamsDarell D. BignerBruce MontgomeryDavid K. MoscatelloMichael Y. Wong
- Topics
- Protease and Inhibitor Mechanisms (3 papers)Cell Adhesion Molecules Research (3 papers)HER2/EGFR in Cancer Research (2 papers)
- Partner nations
- United States
In The Last Decade
Padma Sundareshan
11 papers receiving 549 citations
Peers
Comparison fields: 5 of 65
- Oncology 285
- Molecular Biology 246
- Pulmonary and Respiratory Medicine 127
- Radiology, Nuclear Medicine and Imaging 118
- Cancer Research 85
Countries citing papers authored by Padma Sundareshan
This map shows the geographic impact of Padma Sundareshan'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 Padma Sundareshan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Padma Sundareshan more than expected).
Fields of papers citing papers by Padma Sundareshan
This network shows the impact of papers produced by Padma Sundareshan. 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 Padma Sundareshan. The network helps show where Padma Sundareshan may publish in the future.
Co-authorship network of co-authors of Padma Sundareshan
This figure shows the co-authorship network connecting the top 25 collaborators of Padma Sundareshan. A scholar is included among the top collaborators of Padma Sundareshan 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 Padma Sundareshan. Padma Sundareshan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 22 | |
| 2 | 2 | |
| 3 | 15 | |
| 4 | 52 | |
| 5 | 7 | |
| 6 | 33 | |
| 7 | Transformational and altered signal transduction by a naturally occurring mutant EGF receptor. | 169 |
| 8 | Expression of mutated epidermal growth factor receptor by non-small cell lung carcinomas. | 201 |
| 9 | 14 | |
| 10 | 6 | |
| 11 | Comparison of tumor cell invasion assays: human amnion versus reconstituted basement membrane barriers. | 38 |
About Padma Sundareshan
Padma Sundareshan is a scholar working on Immunology and Allergy, Process Chemistry and Technology and Cancer Research, having authored 11 papers that have together received 559 indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (3 papers), Cell Adhesion Molecules Research (3 papers) and HER2/EGFR in Cancer Research (2 papers). The work is most often cited by research in Oncology (285 citations), Immunology and Allergy (59 citations) and Cancer Research (85 citations). Padma Sundareshan has collaborated with scholars based in United States. Frequent co-authors include Albert J. Wong, Louis M. Weiner, Joseph R. Testa, Gregory P. Adams, Darell D. Bigner, Bruce Montgomery, David K. Moscatello, Michael Y. Wong, Mary J.C. Hendrix and Raymond B. Nagle. Their work appears in journals such as Journal of Biological Chemistry, Cancer Letters and Toxicological Sciences.
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.