Krunal Pandav
- Infectious Diseases
- Radiology, Nuclear Medicine and Imaging
- Sociology and Political Science
- Pulmonary and Respiratory Medicine
- Neurology
- Co-authors
- Anant MadabhushiMalak AbedalthagafiAbhishek MidyaSirvan KhalighiAshutosh TewariSujit S. NairJavier Pérez FernándezAlina Álvarez
- Topics
- Prostate Cancer Diagnosis and Treatment (9 papers)Radiomics and Machine Learning in Medical Imaging (5 papers)SARS-CoV-2 and COVID-19 Research (4 papers)
- Journals
- Journal of Clinical OncologyInternational Journal of Radiation Oncology*Biology*PhysicsAnnals of Oncology
- Partner nations
- United StatesPakistanRussia
In The Last Decade
Krunal Pandav
36 papers receiving 522 citations
Hit Papers
Peers
Comparison fields: 5 of 129
- Infectious Diseases 106
- Radiology, Nuclear Medicine and Imaging 70
- Sociology and Political Science 69
- Pulmonary and Respiratory Medicine 68
- Neurology 57
Countries citing papers authored by Krunal Pandav
This map shows the geographic impact of Krunal Pandav'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 Krunal Pandav with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Krunal Pandav more than expected).
Fields of papers citing papers by Krunal Pandav
This network shows the impact of papers produced by Krunal Pandav. 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 Krunal Pandav. The network helps show where Krunal Pandav may publish in the future.
Co-authorship network of co-authors of Krunal Pandav
This figure shows the co-authorship network connecting the top 25 collaborators of Krunal Pandav. A scholar is included among the top collaborators of Krunal Pandav 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 Krunal Pandav. Krunal Pandav 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 | 2 | |
| 3 | 1 | |
| 4 | Artificial intelligence in neuro-oncology: advances and challenges in brain tumor diagnosis, prognosis, and precision treatmentbreakdown → | 95 |
| 5 | 1 | |
| 6 | 11 | |
| 7 | 34 | |
| 8 | 1 | |
| 9 | 3 | |
| 10 | 3 | |
| 11 | 1 | |
| 12 | 25 | |
| 13 | The impact of misinformation on the COVID-19 pandemicbreakdown → | 96 |
| 14 | 6 | |
| 15 | 15 | |
| 16 | 2 | |
| 17 | 1 | |
| 18 | 15 | |
| 19 | 16 | |
| 20 | 100 |
About Krunal Pandav
Krunal Pandav is a scholar working on Health Informatics, Otorhinolaryngology and General Dentistry, having authored 39 papers that have together received 536 indexed citations. Recurring topics across this work include Prostate Cancer Diagnosis and Treatment (9 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and SARS-CoV-2 and COVID-19 Research (4 papers). The work is most often cited by research in Health Informatics (28 citations), Infectious Diseases (106 citations) and Health (46 citations). Krunal Pandav has collaborated with scholars based in United States, Pakistan and Russia. Frequent co-authors include Anant Madabhushi, Malak Abedalthagafi, Abhishek Midya, Sirvan Khalighi, Ashutosh Tewari, Sujit S. Nair, Javier Pérez Fernández, Alina Álvarez, Muhammad Khawar Sana and Marcos A. Sanchez‐Gonzalez. Their work appears in journals such as Journal of Clinical Oncology, International Journal of Radiation Oncology*Biology*Physics and Annals of Oncology.
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.