Sejal Vyas

2.5k total citations · 1 hit paper
9 papers, 1.9k citations indexed

About

Sejal Vyas is a scholar working on Molecular Biology, Oncology and Geriatrics and Gerontology. According to data from OpenAlex, Sejal Vyas has authored 9 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Oncology and 3 papers in Geriatrics and Gerontology. Recurrent topics in Sejal Vyas's work include PARP inhibition in cancer therapy (4 papers), Mitochondrial Function and Pathology (3 papers) and Sirtuins and Resveratrol in Medicine (3 papers). Sejal Vyas is often cited by papers focused on PARP inhibition in cancer therapy (4 papers), Mitochondrial Function and Pathology (3 papers) and Sirtuins and Resveratrol in Medicine (3 papers). Sejal Vyas collaborates with scholars based in United States, United Kingdom and Germany. Sejal Vyas's co-authors include Marcia C. Haigis, Elma Zaganjor, Paul Chang, Jennifer Rood, Anthony K. L. Leung, Phillip A. Sharp, Arjun Bhutkar, Gaëlle Laurent, F. Kyle Satterstrom and Martha L. Bulyk and has published in prestigious journals such as Cell, Nature Communications and Nature reviews. Cancer.

In The Last Decade

Sejal Vyas

8 papers receiving 1.9k citations

Hit Papers

Mitochondria and Cancer 2016 2026 2019 2022 2016 400 800 1.2k

Peers

Sejal Vyas
Comparison fields: 5 of 105
  • Molecular Biology 1.3k
  • Cancer Research 563
  • Oncology 425
  • Immunology 204
  • Epidemiology 203
Replace Nobuko Koshikawa with:
Nobuko Koshikawa Japan
Jiajia Shen China
Michalis Agathocleous United States
Zhao Chen China
Jiyeon Kim United States
Simran S. Sabharwal United States
Hubert Lincet France
Cuixia Di China
Yulong Hu China
Kalkunte S. Srivenugopal United States
Nobuko Koshikawa Japan View profile →
Citations per field, relative to Sejal Vyas
Sejal Vyas · 1×
Citations per year, relative to Sejal Vyas
Sejal Vyas · 1×

Countries citing papers authored by Sejal Vyas

Since Specialization
Citations

This map shows the geographic impact of Sejal Vyas'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 Sejal Vyas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sejal Vyas more than expected).

Fields of papers citing papers by Sejal Vyas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sejal Vyas. 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 Sejal Vyas. The network helps show where Sejal Vyas may publish in the future.

Co-authorship network of co-authors of Sejal Vyas

This figure shows the co-authorship network connecting the top 25 collaborators of Sejal Vyas. A scholar is included among the top collaborators of Sejal Vyas 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 Sejal Vyas. Sejal Vyas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
# Work Indexed citations
1 6
2 0
3 28
4
Mitochondria and Cancer breakdown →
1297
5 65
6 14
7 142
8 2
9 358

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.

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