Andrej Yu. Yakovlev
- Statistics and Probability top 0.5%
- Artificial Intelligence top 5%
- Molecular Biology
- Cancer Research top 10%
- Modeling and Simulation top 1%
- Co-authors
- Alex TsodikovAlexander TsodikovJoseph G. IbrahimLeonid HaninBernard AsselainKenneth M. BoucherMark NobleMargot Mayer‐Pröschel
- Topics
- Mathematical Biology Tumor Growth (19 papers)Statistical Methods and Inference (15 papers)Statistical Methods in Clinical Trials (11 papers)
- Journals
- Proceedings of the National Academy of SciencesSHILAP Revista de lepidopterologíaJournal of the American Statistical Association
- Partner nations
- United StatesRussiaGermany
In The Last Decade
Andrej Yu. Yakovlev
64 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 113
- Statistics and Probability 737
- Artificial Intelligence 320
- Molecular Biology 281
- Cancer Research 241
- Modeling and Simulation 228
Countries citing papers authored by Andrej Yu. Yakovlev
This map shows the geographic impact of Andrej Yu. Yakovlev'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 Andrej Yu. Yakovlev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrej Yu. Yakovlev more than expected).
Fields of papers citing papers by Andrej Yu. Yakovlev
This network shows the impact of papers produced by Andrej Yu. Yakovlev. 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 Andrej Yu. Yakovlev. The network helps show where Andrej Yu. Yakovlev may publish in the future.
Co-authorship network of co-authors of Andrej Yu. Yakovlev
This figure shows the co-authorship network connecting the top 25 collaborators of Andrej Yu. Yakovlev. A scholar is included among the top collaborators of Andrej Yu. Yakovlev 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 Andrej Yu. Yakovlev. Andrej Yu. Yakovlev is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 273 | |
| 3 | 25 | |
| 4 | 4 | |
| 5 | 17 | |
| 6 | 49 | |
| 7 | 2 | |
| 8 | 10 | |
| 9 | 16 | |
| 10 | 16 | |
| 11 | 30 | |
| 12 | 3 | |
| 13 | 159 | |
| 14 | 42 | |
| 15 | 11 | |
| 16 | 41 | |
| 17 | 5 | |
| 18 | 7 | |
| 19 | 48 | |
| 20 | Theoretical bounds for the tumor treatment efficacy | 4 |
About Andrej Yu. Yakovlev
Andrej Yu. Yakovlev is a scholar working on Modeling and Simulation, Statistics and Probability and Aging, having authored 69 papers that have together received 1.5k indexed citations. Recurring topics across this work include Mathematical Biology Tumor Growth (19 papers), Statistical Methods and Inference (15 papers) and Statistical Methods in Clinical Trials (11 papers). The work is most often cited by research in Statistics and Probability (737 citations), Modeling and Simulation (228 citations) and Cancer Research (241 citations). Andrej Yu. Yakovlev has collaborated with scholars based in United States, Russia and Germany. Frequent co-authors include Alex Tsodikov, Alexander Tsodikov, Joseph G. Ibrahim, Leonid Hanin, Bernard Asselain, Kenneth M. Boucher, Mark Noble, Margot Mayer‐Pröschel, Svetlozar T. Rachev and Lev B. Klebanov. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Journal of the American Statistical Association.
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.