Vishesh Agrawal
- Radiology, Nuclear Medicine and Imaging top 2%
- Pulmonary and Respiratory Medicine top 5%
- Molecular Biology
- Biomedical Engineering top 10%
- Oncology
- Co-authors
- Raymond H. MakHugo J.W.L. AertsThibaud CorollerVivek NarayanYing HouStephanie W. LeeElizabeth HuynhPatrick Großmann
- Topics
- Lung Cancer Diagnosis and Treatment (8 papers)Radiomics and Machine Learning in Medical Imaging (6 papers)DNA Repair Mechanisms (3 papers)
- Cited by
- Radiology, Nuclear Medicine and ImagingPulmonary and Respiratory MedicineHealth Informatics
- Partner nations
- United StatesIndiaCanada
In The Last Decade
Vishesh Agrawal
18 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 75
- Radiology, Nuclear Medicine and Imaging 675
- Pulmonary and Respiratory Medicine 653
- Molecular Biology 601
- Biomedical Engineering 374
- Oncology 207
Countries citing papers authored by Vishesh Agrawal
This map shows the geographic impact of Vishesh Agrawal'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 Vishesh Agrawal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vishesh Agrawal more than expected).
Fields of papers citing papers by Vishesh Agrawal
This network shows the impact of papers produced by Vishesh Agrawal. 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 Vishesh Agrawal. The network helps show where Vishesh Agrawal may publish in the future.
Co-authorship network of co-authors of Vishesh Agrawal
This figure shows the co-authorship network connecting the top 25 collaborators of Vishesh Agrawal. A scholar is included among the top collaborators of Vishesh Agrawal 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 Vishesh Agrawal. Vishesh Agrawal 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 | 4 | |
| 3 | 16 | |
| 4 | 11 | |
| 5 | 18 | |
| 6 | 18 | |
| 7 | 36 | |
| 8 | 7 | |
| 9 | 84 | |
| 10 | 173 | |
| 11 | 159 | |
| 12 | 2 | |
| 13 | 15 | |
| 14 | 254 | |
| 15 | 3 | |
| 16 | An Unusual Side Effect Of A Commonly Used Antiepileptic Drug. | 0 |
| 17 | Modelling kidney disease with CRISPR-mutant kidney organoids derived from human pluripotent epiblast spheroidsbreakdown → | 567 |
| 18 | 8 | |
| 19 | 33 | |
| 20 | 47 |
About Vishesh Agrawal
Vishesh Agrawal is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Geriatrics and Gerontology, having authored 20 papers that have together received 1.5k indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (8 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and DNA Repair Mechanisms (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (675 citations), Pulmonary and Respiratory Medicine (653 citations) and Health Informatics (16 citations). Vishesh Agrawal has collaborated with scholars based in United States, India and Canada. Frequent co-authors include Raymond H. Mak, Hugo J.W.L. Aerts, Thibaud Coroller, Vivek Narayan, Ying Hou, Stephanie W. Lee, Elizabeth Huynh, Patrick Großmann, John Romano and Idalid Franco. Their work appears in journals such as Journal of Biological Chemistry, Nature Communications and PLoS ONE.
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.