Mahesh Devarasetty
- Biomedical Engineering top 2%
- Oncology top 5%
- Molecular Biology
- Surgery top 10%
- Automotive Engineering top 2%
- Co-authors
- Aleksander SkardalShay SökerAnthony AtalaSteven D. ForsytheThomas ShupeColin E. BishopAndrea MazzocchiSean V. Murphy
- Topics
- 3D Printing in Biomedical Research (18 papers)Cancer Cells and Metastasis (13 papers)Innovative Microfluidic and Catalytic Techniques Innovation (3 papers)
- Journals
- Journal of the American Chemical SocietySHILAP Revista de lepidopterologíaCancer Research
- Partner nations
- United StatesIndiaIsrael
In The Last Decade
Mahesh Devarasetty
26 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 105
- Biomedical Engineering 1.4k
- Oncology 577
- Molecular Biology 401
- Surgery 318
- Automotive Engineering 309
Countries citing papers authored by Mahesh Devarasetty
This map shows the geographic impact of Mahesh Devarasetty'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 Mahesh Devarasetty with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mahesh Devarasetty more than expected).
Fields of papers citing papers by Mahesh Devarasetty
This network shows the impact of papers produced by Mahesh Devarasetty. 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 Mahesh Devarasetty. The network helps show where Mahesh Devarasetty may publish in the future.
Co-authorship network of co-authors of Mahesh Devarasetty
This figure shows the co-authorship network connecting the top 25 collaborators of Mahesh Devarasetty. A scholar is included among the top collaborators of Mahesh Devarasetty 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 Mahesh Devarasetty. Mahesh Devarasetty is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 55 | |
| 2 | 46 | |
| 3 | 201 | |
| 4 | 30 | |
| 5 | 22 | |
| 6 | 9 | |
| 7 | 37 | |
| 8 | 28 | |
| 9 | 35 | |
| 10 | 26 | |
| 11 | 63 | |
| 12 | 59 | |
| 13 | 78 | |
| 14 | 37 | |
| 15 | 34 | |
| 16 | 48 | |
| 17 | 86 | |
| 18 | 324 | |
| 19 | 62 | |
| 20 | 111 |
About Mahesh Devarasetty
Mahesh Devarasetty is a scholar working on Oncology, Modeling and Simulation and Biomedical Engineering, having authored 26 papers that have together received 1.9k indexed citations. Recurring topics across this work include 3D Printing in Biomedical Research (18 papers), Cancer Cells and Metastasis (13 papers) and Innovative Microfluidic and Catalytic Techniques Innovation (3 papers). The work is most often cited by research in Biomedical Engineering (1.4k citations), Automotive Engineering (309 citations) and Oncology (577 citations). Mahesh Devarasetty has collaborated with scholars based in United States, India and Israel. Frequent co-authors include Aleksander Skardal, Shay Söker, Anthony Atala, Steven D. Forsythe, Thomas Shupe, Colin E. Bishop, Andrea Mazzocchi, Sean V. Murphy, John D. Jackson and James J. Yoo. Their work appears in journals such as Journal of the American Chemical Society, SHILAP Revista de lepidopterología and Cancer Research.
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.