Leonid Hanin

1.3k total citations
69 papers, 884 citations indexed

About

Leonid Hanin is a scholar working on Modeling and Simulation, Cancer Research and Oncology. According to data from OpenAlex, Leonid Hanin has authored 69 papers receiving a total of 884 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Modeling and Simulation, 18 papers in Cancer Research and 14 papers in Oncology. Recurrent topics in Leonid Hanin's work include Mathematical Biology Tumor Growth (26 papers), Cancer Genomics and Diagnostics (14 papers) and Cancer Cells and Metastasis (10 papers). Leonid Hanin is often cited by papers focused on Mathematical Biology Tumor Growth (26 papers), Cancer Genomics and Diagnostics (14 papers) and Cancer Cells and Metastasis (10 papers). Leonid Hanin collaborates with scholars based in United States, Russia and Germany. Leonid Hanin's co-authors include Marco Zaider, Andrej Yu. Yakovlev, Alexander Tsodikov, Li‐Shan Huang, Svetlozar T. Rachev, Antonio Campo, Wai‐Yuan Tan, Svetlana Bunimovich‐Mendrazitsky, Andrei Y. Yakovlev and Serge N. Vinogradov and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and International Journal of Heat and Mass Transfer.

In The Last Decade

Leonid Hanin

66 papers receiving 855 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Leonid Hanin United States 20 265 229 228 190 175 69 884
Dominique Barbolosi France 20 564 2.1× 323 1.4× 494 2.2× 177 0.9× 188 1.1× 57 1.2k
Sébastien Benzekry France 19 545 2.1× 322 1.4× 533 2.3× 231 1.2× 195 1.1× 57 1.3k
Jan Poleszczuk Poland 22 482 1.8× 235 1.0× 422 1.9× 235 1.2× 268 1.5× 84 1.3k
David A. Hormuth United States 29 265 1.0× 262 1.1× 684 3.0× 666 3.5× 318 1.8× 85 1.9k
Clare Lamont United States 6 146 0.6× 99 0.4× 219 1.0× 102 0.5× 110 0.6× 8 514
Georgios Stamatakos Greece 19 264 1.0× 145 0.6× 486 2.1× 203 1.1× 110 0.6× 89 1.1k
Andrej Yu. Yakovlev United States 20 222 0.8× 241 1.1× 228 1.0× 139 0.7× 103 0.6× 69 1.5k
Angela M. Jarrett United States 20 194 0.7× 173 0.8× 352 1.5× 322 1.7× 51 0.3× 41 829
Andrzej Świerniak Poland 22 322 1.2× 253 1.1× 647 2.8× 172 0.9× 164 0.9× 114 1.6k
Ira J. Kalet United States 15 57 0.2× 56 0.2× 139 0.6× 331 1.7× 183 1.0× 60 1.0k

Countries citing papers authored by Leonid Hanin

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Leonid Hanin

This figure shows the co-authorship network connecting the top 25 collaborators of Leonid Hanin. A scholar is included among the top collaborators of Leonid Hanin 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 Leonid Hanin. Leonid Hanin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Hanin, Leonid, et al.. (2023). Mathematical properties of Hand Incremental Effect Additivity and other synergy theories. Mathematical Methods in the Applied Sciences. 46(14). 15426–15457. 1 indexed citations
2.
Hanin, Leonid. (2023). The circulation stage of the metastatic cascade: A mathematical description and its clinical implications. Journal of Theoretical Biology. 572. 111582–111582. 3 indexed citations
3.
Hanin, Leonid, et al.. (2019). The natural history of renal cell carcinoma with pulmonary metastases illuminated through mathematical modeling. Mathematical Biosciences. 309. 118–130. 4 indexed citations
4.
Hanin, Leonid, et al.. (2018). Suppression of Metastasis by Primary Tumor and Acceleration of Metastasis Following Primary Tumor Resection: A Natural Law?. Bulletin of Mathematical Biology. 80(3). 519–539. 19 indexed citations
5.
Hanin, Leonid, Karen Seidel, & Dietrich Stoevesandt. (2015). A “universal” model of metastatic cancer, its parametric forms and their identification: what can be learned from site-specific volumes of metastases. Journal of Mathematical Biology. 72(6). 1633–1662. 13 indexed citations
6.
Hanin, Leonid & Li‐Shan Huang. (2014). Identifiability of cure models revisited. Journal of Multivariate Analysis. 130. 261–274. 31 indexed citations
7.
Hanin, Leonid & Marco Zaider. (2014). Optimal schedules of fractionated radiation therapy by way of thegreedyprinciple: biologically-based adaptive boosting. Physics in Medicine and Biology. 59(15). 4085–4098. 6 indexed citations
8.
Hanin, Leonid & Marco Zaider. (2013). A mechanistic description of radiation-induced damage to normal tissue and its healing kinetics. Physics in Medicine and Biology. 58(4). 825–839. 11 indexed citations
9.
Zaider, Marco & Leonid Hanin. (2011). Tumor control probability in radiation treatment. Medical Physics. 38(2). 574–583. 54 indexed citations
10.
Hanin, Leonid & Marco Zaider. (2010). Cell-survival probability at large doses: an alternative to the linear-quadratic model. Physics in Medicine and Biology. 55(16). 4687–4702. 31 indexed citations
11.
Hanin, Leonid, et al.. (2008). Chromosome-specific spatial periodicities in gene expression revealed by spectral analysis. Journal of Theoretical Biology. 256(3). 333–342. 2 indexed citations
12.
Hanin, Leonid, et al.. (2007). Identifiability of the joint distribution of age and tumor size at detection in the presence of screening. Mathematical Biosciences. 208(2). 644–657. 4 indexed citations
13.
Hanin, Leonid, et al.. (2006). A stochastic model for the sizes of detectable metastases. Journal of Theoretical Biology. 243(3). 407–417. 34 indexed citations
14.
Hanin, Leonid, et al.. (2002). Testing goodness of fit for stochastic models of carcinogenesis. Mathematical Biosciences. 175(1). 13–29. 10 indexed citations
15.
Hanin, Leonid, Marco Zaider, & Andrej Yu. Yakovlev. (2001). Distribution of the number of clonogens surviving fractionated radiotherapy: a long-standing problem revisited. International Journal of Radiation Biology. 77(2). 205–213. 25 indexed citations
16.
Bartôszyński, Robert, Lutz Edler, Leonid Hanin, et al.. (2001). Modeling cancer detection: tumor size as a source of information on unobservable stages of carcinogenesis. Mathematical Biosciences. 171(2). 113–142. 49 indexed citations
17.
Hanin, Leonid & Andrej Yu. Yakovlev. (1996). A Nonidentifiability Aspect of the Two‐Stage Model of Carcinogenesis. Risk Analysis. 16(5). 711–715. 42 indexed citations
18.
Hanin, Leonid & Svetlozar T. Rachev. (1994). Mass-transshipment problems and ideal metrics. Journal of Computational and Applied Mathematics. 56(1-2). 183–196. 3 indexed citations
19.
Hanin, Leonid. (1992). Kantorovich-Rubinstein Norm and Its Application in the Theory of Lipschitz Spaces. Proceedings of the American Mathematical Society. 115(2). 345–345. 9 indexed citations
20.
Hanin, Leonid. (1992). Kantorovich-Rubinstein norm and its application in the theory of Lipschitz spaces. Proceedings of the American Mathematical Society. 115(2). 345–352. 29 indexed citations

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.

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