Ivan Bedzhov

1.4k citations
29 papers · 916 · h-index 15

Impact in

    • Pluripotent Stem Cells Research
    • Renal and related cancers
    • CRISPR and Genetic Engineering
  • Cell Biology top 10%
    • Cellular Mechanics and Interactions

Papers in

Ivan Bedzhov

27 papers receiving 912 citations

Peers

Ivan Bedzhov
Comparison fields: 5 of 71
  • Molecular Biology 733
  • Cell Biology 133
  • Public Health, Environmental and Occupational Health 215
  • Obstetrics and Gynecology 54
  • Immunology 133
Replace Antonia Weberling with:
Antonia Weberling United Kingdom
Alice Jouneau France
Vernadeth B. Alarcón United States
Gianluca Amadei United Kingdom
Susanne van den Brink Netherlands
Kadue Takahashi Japan
Shelby M. King United States
Tania E. Tsang Australia
Christos Kyprianou United Kingdom
Néstor Saiz United States
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Citations per field
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Antonia Weberling · 1×
Citations per year

Countries citing papers authored by Ivan Bedzhov

Since Specialization
Citations

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

Fields of papers citing papers by Ivan Bedzhov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ivan Bedzhov, 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 Ivan Bedzhov Line = papers co-authored together Ivan Bedzhov links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014322
2 2014140
3 201493
4 201247
5 202042
6 202132
7 202131
8 201323
9 201021
10 202219
11 202316
12 202216
13 201515
14 202214
15 201914
16 202210
17 202310
18 20149
19 20197
20 20207

About Ivan Bedzhov

Ivan Bedzhov is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Immunology, Surgery and Genetics, having authored 29 papers that have together received 916 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (23 papers), Renal and related cancers (9 papers), CRISPR and Genetic Engineering (9 papers), Reproductive Biology and Fertility (9 papers), Reproductive System and Pregnancy (6 papers), Tissue Engineering and Regenerative Medicine (3 papers), RNA Research and Splicing (2 papers) and Cellular Mechanics and Interactions (2 papers). The work is most often cited by research in Molecular Biology (733 citations), Cell Biology (133 citations), Public Health, Environmental and Occupational Health (215 citations), Obstetrics and Gynecology (54 citations) and Immunology (133 citations). Ivan Bedzhov has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Magdalena Zernicka‐Goetz, Chuen Yan Leung, Monika Bialecka, Marc P. Stemmler, Sarah J. L. Graham, Ewa Liszewska, Rui Fan, Benoı̂t Kanzler, Dagmar Zeuschner and Karina Mildner. Their work appears in journals such as Nature Communications, Science Advances, Developmental Cell, Cell stem cell and Scientific Reports.

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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