Leonid Hanin
Impact in
- Modeling and Simulation top 1%
- Mathematical Biology Tumor Growth
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
Papers in
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- Mathematical Biology Tumor Growth 26
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- Cancer Genomics and Diagnostics 14
- Co-authors
- Marco Zaider (11 shared papers)Andrej Yu. Yakovlev (14 shared papers)Alexander Tsodikov (7 shared papers)Li‐Shan Huang (1 shared paper)Antonio Campo (1 shared paper)Svetlozar T. Rachev (7 shared papers)Wai‐Yuan Tan (1 shared paper)Svetlana Bunimovich‐Mendrazitsky (1 shared paper)
- Journals
- Mathematical Biosciences (12 papers)Physics in Medicine and Biology (7 papers)Journal of Theoretical Biology (6 papers)Advances in Applied Probability (4 papers)Journal of Applied Probability (2 papers)
- Partner nations
- United StatesRussiaGermany
In The Last Decade
Leonid Hanin
66 papers receiving 857 citations
Peers
Comparison fields: 5 of 107
- Modeling and Simulation 220
- Cancer Research 200
- Radiation 110
- Statistics and Probability 102
- Oncology 231
Countries citing papers authored by Leonid Hanin
This map shows the geographic impact of Leonid Hanin'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 Leonid Hanin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leonid Hanin more than expected).
Fields of papers citing papers by Leonid Hanin
This network shows the impact of papers produced by Leonid Hanin. 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 Leonid Hanin. The network helps show where Leonid Hanin may publish in the future.
Co-authors
The 25 scholars most cited alongside Leonid Hanin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 55 | |
| 2 | 2001 | 49 | |
| 3 | 1996 | 42 | |
| 4 | 2006 | 34 | |
| 5 | 1999 | 33 | |
| 6 | 2010 | 31 | |
| 7 | 2014 | 31 | |
| 8 | 1992 | 29 | |
| 9 | 2009 | 26 | |
| 10 | 2004 | 26 | |
| 11 | 2009 | 26 | |
| 12 | 2003 | 26 | |
| 13 | 2001 | 25 | |
| 14 | 2001 | 24 | |
| 15 | 2002 | 22 | |
| 16 | 2007 | 22 | |
| 17 | 2008 | 22 | |
| 18 | 2001 | 21 | |
| 19 | 2011 | 19 | |
| 20 | 2018 | 19 |
About Leonid Hanin
Leonid Hanin is a scholar working on Modeling and Simulation, Cancer Research, Oncology, Radiology, Nuclear Medicine and Imaging and Statistics and Probability, having authored 69 papers that have together received 886 indexed citations. Recurring topics across this work include Mathematical Biology Tumor Growth (26 papers), Cancer Genomics and Diagnostics (14 papers), Effects of Radiation Exposure (10 papers), Cancer Cells and Metastasis (9 papers), Advanced Radiotherapy Techniques (7 papers), Statistical Methods and Inference (5 papers), Radiation Therapy and Dosimetry (5 papers) and Heat Transfer Mechanisms (4 papers). The work is most often cited by research in Modeling and Simulation (220 citations), Cancer Research (200 citations), Radiation (110 citations), Statistics and Probability (102 citations) and Oncology (231 citations). Leonid Hanin has collaborated with scholars based in United States, Russia and Germany. Frequent co-authors include Marco Zaider, Andrej Yu. Yakovlev, Alexander Tsodikov, Li‐Shan Huang, Antonio Campo, Svetlozar T. Rachev, Wai‐Yuan Tan, Svetlana Bunimovich‐Mendrazitsky, Andrei Y. Yakovlev and Serge N. Vinogradov. Their work appears in journals such as Mathematical Biosciences, Physics in Medicine and Biology, Journal of Theoretical Biology, Advances in Applied Probability and Journal of Applied Probability.
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.