Rakesh K. Jain
- Cancer Research top 0.01%
- Cancer, Hypoxia, and Metabolism 159
- Biomaterials top 0.01%
- Oncology top 0.01%
- Cancer Cells and Metastasis 54
- Biomedical Engineering top 0.01%
- Nanoplatforms for cancer theranostics 56
- 3D Printing in Biomedical Research 41
- Modeling and Simulation top 0.02%
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- Angiogenesis and VEGF in Cancer 206
- Glycosylation and Glycoproteins Research 61
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- Glioma Diagnosis and Treatment 58
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- Carbohydrate Chemistry and Synthesis 56
- Co-authors
- Dai FukumuraPeter CarmelietTriantafyllos StylianopoulosLance L. MunnYves BoucherDan G. DudaD.E. DolmansFan Yuan
- Cited by
- Cancer ResearchBiomaterialsOncology
- Partner nations
- United StatesIndiaCyprus
In The Last Decade
Rakesh K. Jain
841 papers receiving 132.4k citations
Hit Papers
Peers
Comparison fields: 5 of 214
- Cancer Research 27.5k
- Biomaterials 20.2k
- Oncology 34.7k
- Biomedical Engineering 37.4k
- Modeling and Simulation 3.8k
Countries citing papers authored by Rakesh K. Jain
This map shows the geographic impact of Rakesh K. Jain'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 Rakesh K. Jain with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rakesh K. Jain more than expected).
Fields of papers citing papers by Rakesh K. Jain
This network shows the impact of papers produced by Rakesh K. Jain. 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 Rakesh K. Jain. The network helps show where Rakesh K. Jain may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Rakesh K. Jain, 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 | 2023 | 0 | |
| 2 | 2021 | 34 | |
| 3 | 2019 | 307 | |
| 4 | 2019 | 40 | |
| 5 | Shortwave infrared fluorescence imaging with the clinically approved near-infrared dye indocyanine greenbreakdown → | 2018 | 565 |
| 6 | 2015 | 2 | |
| 7 | 2013 | 122 | |
| 8 | 2013 | 55 | |
| 9 | 2013 | 61 | |
| 10 | 2013 | 352 | |
| 11 | 2011 | 36 | |
| 12 | 2011 | 156 | |
| 13 | 2010 | 115 | |
| 14 | 2010 | 85 | |
| 15 | 2009 | 1 | |
| 16 | 2009 | 291 | |
| 17 | 2007 | 136 | |
| 18 | Degradation of Fibrillar Collagen in a Human Melanoma Xenograft Improves the Efficacy of an Oncolytic Herpes Simplex Virus Vectorbreakdown → | 2006 | 335 |
| 19 | 2005 | 36 | |
| 20 | 2004 | 41 |
About Rakesh K. Jain
Rakesh K. Jain is a scholar working on Cancer Research, Oncology and Modeling and Simulation, having authored 862 papers that have together received 134.8k indexed citations. Recurring topics across this work include Angiogenesis and VEGF in Cancer (206 papers), Cancer, Hypoxia, and Metabolism (159 papers), Glycosylation and Glycoproteins Research (61 papers), Glioma Diagnosis and Treatment (58 papers), Nanoplatforms for cancer theranostics (56 papers), Carbohydrate Chemistry and Synthesis (56 papers), Cancer Cells and Metastasis (54 papers) and 3D Printing in Biomedical Research (41 papers). The work is most often cited by research in Cancer Research (27.5k citations), Biomaterials (20.2k citations) and Oncology (34.7k citations). Rakesh K. Jain has collaborated with scholars based in United States, India and Cyprus. Frequent co-authors include Dai Fukumura, Peter Carmeliet, Triantafyllos Stylianopoulos, Lance L. Munn, Yves Boucher, Dan G. Duda, D.E. Dolmans, Fan Yuan, Vikash P. Chauhan and Emmanuelle di Tomaso. Their work appears in journals such as Nature, Science and New England Journal of Medicine.
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.