Иван Тодоров

218 papers receiving 7.5k citations

Иван Тодоров's Hit Papers

TGF-β activates Akt kinase through a microRNA-dependent amplifying circuit targeting PTEN 2009 · 501 citations
5010+5+11Years since publication100200300400500

Peers

Иван Тодоров
Comparison fields: 5 of 174
  • Nuclear and High Energy Physics 1.0k
  • Hematology 798
  • Statistical and Nonlinear Physics 748
  • Algebra and Number Theory 275
  • Immunology 1.2k
Replace Raúl Rabadán with:
Raúl Rabadán United States
Gyan Bhanot United States
C. B. Collins Canada
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Zhe Chang China
Juncheng Wei Hong Kong
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Dominic J. Williamson United States
Paolo Provero Italy
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Citations per field
00.5×50×100×137.5×
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Citations per year

Countries citing papers authored by Иван Тодоров

Since Specialization
Citations

This map shows the geographic impact of Иван Тодоров'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 Иван Тодоров with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Иван Тодоров more than expected).

Fields of papers citing papers by Иван Тодоров

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Иван Тодоров. 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 Иван Тодоров. The network helps show where Иван Тодоров may publish in the future.

Co-authors

The 25 scholars most cited alongside Иван Тодоров, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Иван Тодоров Line = papers co-authored together Иван Тодоров links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 228 papers — load more, or switch the sort, to bring in the rest.

#Work
1
TGF-β activates Akt kinase through a microRNA-dependent amplifying circuit targeting PTEN
Hit paper breakdown →
2009501
2
Introduction to axiomatic quantum field theory
1975229
3 2009226
4 2009222
5 2010212
6 1995211
7 1996174
8 2008173
9 2005167
10 2001159
11 1971151
12 1999150
13 2010147
14 1996132
15 2013119
16 2001118
17 1999115
18 2009113
19 2008110
20 1994107

About Иван Тодоров

Иван Тодоров is a scholar working on Nuclear and High Energy Physics, Molecular Biology, Geometry and Topology, Statistical and Nonlinear Physics and Surgery, having authored 228 papers that have together received 7.8k indexed citations. Recurring topics across this work include Black Holes and Theoretical Physics (44 papers), Algebraic structures and combinatorial models (41 papers), Pancreatic function and diabetes (29 papers), Nonlinear Waves and Solitons (21 papers), Advanced Topics in Algebra (20 papers), Diabetes and associated disorders (14 papers), T-cell and B-cell Immunology (13 papers) and Hematopoietic Stem Cell Transplantation (12 papers). The work is most often cited by research in Nuclear and High Energy Physics (1.0k citations), Hematology (798 citations), Statistical and Nonlinear Physics (748 citations), Algebra and Number Theory (275 citations) and Immunology (1.2k citations). Иван Тодоров has collaborated with scholars based in United States, Bulgaria and Italy. Frequent co-authors include Fouad Kandeel, Stephen Kearsey, Defu Zeng, A. A. Logunov, Indu Nair, Stephen J. Forman, Rama Natarajan, G. Mack, Yoko Mullen and Kevin Ferreri. Their work appears in journals such as Letters in Mathematical Physics, Communications in Mathematical Physics, Nuclear Physics B, Blood and The Journal of Immunology.

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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