Shruthi Vaidhyanathan
- Molecular Biology
- Oncology
- Pulmonary and Respiratory Medicine
- Genetics top 10%
- Pathology and Forensic Medicine
- Co-authors
- William F. ElmquistRajendar K. MittapalliArkadiusz Z. DudekRamola SaneJann N. SarkariaGautham GampaJohn R. CrisonXiaoning Wang
- Topics
- Melanoma and MAPK Pathways (7 papers)Computational Drug Discovery Methods (3 papers)Brain Metastases and Treatment (2 papers)
- Journals
- Cancer ResearchJournal of Pharmacology and Experimental TherapeuticsJournal of Pharmaceutical Sciences
- Partner nations
- United StatesSwitzerlandBelgium
In The Last Decade
Shruthi Vaidhyanathan
9 papers receiving 432 citations
Peers
Comparison fields: 5 of 53
- Molecular Biology 257
- Oncology 209
- Pulmonary and Respiratory Medicine 174
- Genetics 114
- Pathology and Forensic Medicine 49
Countries citing papers authored by Shruthi Vaidhyanathan
This map shows the geographic impact of Shruthi Vaidhyanathan'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 Shruthi Vaidhyanathan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shruthi Vaidhyanathan more than expected).
Fields of papers citing papers by Shruthi Vaidhyanathan
This network shows the impact of papers produced by Shruthi Vaidhyanathan. 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 Shruthi Vaidhyanathan. The network helps show where Shruthi Vaidhyanathan may publish in the future.
Co-authorship network of co-authors of Shruthi Vaidhyanathan
This figure shows the co-authorship network connecting the top 25 collaborators of Shruthi Vaidhyanathan. A scholar is included among the top collaborators of Shruthi Vaidhyanathan 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 Shruthi Vaidhyanathan. Shruthi Vaidhyanathan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 36 | |
| 3 | 29 | |
| 4 | 13 | |
| 5 | 15 | |
| 6 | 0 | |
| 7 | 74 | |
| 8 | 130 | |
| 9 | 134 | |
| 10 | 2 |
About Shruthi Vaidhyanathan
Shruthi Vaidhyanathan is a scholar working on Computational Theory and Mathematics, Statistics and Probability and Molecular Biology, having authored 10 papers that have together received 442 indexed citations. Recurring topics across this work include Melanoma and MAPK Pathways (7 papers), Computational Drug Discovery Methods (3 papers) and Brain Metastases and Treatment (2 papers). The work is most often cited by research in Genetics (114 citations), Oncology (209 citations) and Pulmonary and Respiratory Medicine (174 citations). Shruthi Vaidhyanathan has collaborated with scholars based in United States, Switzerland and Belgium. Frequent co-authors include William F. Elmquist, Rajendar K. Mittapalli, Arkadiusz Z. Dudek, Ramola Sane, Jann N. Sarkaria, Gautham Gampa, John R. Crison, Xiaoning Wang, Julia Gao and David Good. Their work appears in journals such as Cancer Research, Journal of Pharmacology and Experimental Therapeutics and Journal of Pharmaceutical 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.