Harshad Kulkarni
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- Radiopharmaceutical Chemistry and Applications 64
- Medical Imaging Techniques and Applications 18
- Oncology top 1%
- Lung Cancer Research Studies 36
- Peptidase Inhibition and Analysis 15
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- Prostate Cancer Treatment and Research 32
- Neurology top 2%
- Neuroblastoma Research and Treatments 27
- Epidemiology top 2%
- Neuroendocrine Tumor Research Advances 55
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- Arsenic contamination and mitigation 14
- Co-authors
- Richard P. BaumAviral SinghChristiane SchuchardtIngo KletteJingjing ZhangDirk MüellerKarin NiepschMargret Schottelius
- Journals
- Journal of Clinical Oncology (2 papers)SHILAP Revista de lepidopterología (1 paper)Environmental Science & Technology (3 papers)
- Partner nations
- GermanyUnited StatesIndia
In The Last Decade
Harshad Kulkarni
132 papers receiving 4.4k citations
Hit Papers
Peers
Comparison fields: 5 of 132
- Radiology, Nuclear Medicine and Imaging 2.4k
- Oncology 1.9k
- Pulmonary and Respiratory Medicine 1.7k
- Neurology 690
- Epidemiology 1.3k
Countries citing papers authored by Harshad Kulkarni
This map shows the geographic impact of Harshad Kulkarni'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 Harshad Kulkarni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Harshad Kulkarni more than expected).
Fields of papers citing papers by Harshad Kulkarni
This network shows the impact of papers produced by Harshad Kulkarni. 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 Harshad Kulkarni. The network helps show where Harshad Kulkarni may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Harshad Kulkarni, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 6 | |
| 3 | 2025 | 4 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 6 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 1 | |
| 8 | 2024 | 1 | |
| 9 | 2023 | 6 | |
| 10 | 2021 | 59 | |
| 11 | 2019 | 104 | |
| 12 | 2019 | 2 | |
| 13 | 2019 | 1 | |
| 14 | 2019 | 8 | |
| 15 | 2018 | 25 | |
| 16 | 2017 | 42 | |
| 17 | 2017 | 52 | |
| 18 | 2015 | 19 | |
| 19 | 2012 | 90 | |
| 20 | BioFacets: Integrating Biological Databases using Facetted Classification. | 2006 | 3 |
About Harshad Kulkarni
Harshad Kulkarni is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology and Neurology, having authored 137 papers that have together received 4.4k indexed citations. Recurring topics across this work include Radiopharmaceutical Chemistry and Applications (64 papers), Neuroendocrine Tumor Research Advances (55 papers), Lung Cancer Research Studies (36 papers), Prostate Cancer Treatment and Research (32 papers), Neuroblastoma Research and Treatments (27 papers), Medical Imaging Techniques and Applications (18 papers), Peptidase Inhibition and Analysis (15 papers) and Arsenic contamination and mitigation (14 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (2.4k citations), Oncology (1.9k citations) and Pulmonary and Respiratory Medicine (1.7k citations). Harshad Kulkarni has collaborated with scholars based in Germany, United States and India. Frequent co-authors include Richard P. Baum, Aviral Singh, Christiane Schuchardt, Ingo Klette, Jingjing Zhang, Dirk Müeller, Karin Niepsch, Margret Schottelius, Hans‐Jürgen Wester and Natalie Mladenov. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Environmental Science & Technology.
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.