Ivan Bedzhov

1.5k citations
30 papers · 964 · 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

29 papers receiving 958 citations

Peers

Ivan Bedzhov
Comparison fields: 5 of 70
  • Molecular Biology 743
  • Cell Biology 132
  • Public Health, Environmental and Occupational Health 208
  • Obstetrics and Gynecology 46
  • Immunology 125
Replace Matteo A. Molè with:
Matteo A. Molè United Kingdom
Antonia Weberling United Kingdom
Vernadeth B. Alarcón United States
Gianluca Amadei United Kingdom
Alice Jouneau France
Christos Kyprianou United Kingdom
Kadue Takahashi Japan
Tania E. Tsang Australia
Sundeep Kalantry United States
Néstor Saiz United States
Ivan Bedzhov relative to Matteo A. Molè United Kingdom Matteo A. Molè's profile →
Citations per field
00.5×4.5×
Matteo A. Molè · 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 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014327
2 2014144
3 201493
4 201248
5 202045
6 202135
7 202134
8 201323
9 201022
10 202222
11 202319
12 202217
13 201516
14 202216
15 201915
16 202312
17 202211
18 20149
19 20228
20 20228

About Ivan Bedzhov

Ivan Bedzhov is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Immunology, Surgery and Genetics, having authored 30 papers that have together received 964 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (24 papers), Renal and related cancers (9 papers), Reproductive Biology and Fertility (9 papers), CRISPR and Genetic Engineering (9 papers), Reproductive System and Pregnancy (6 papers), Tissue Engineering and Regenerative Medicine (3 papers), Cellular Mechanics and Interactions (2 papers) and Developmental Biology and Gene Regulation (2 papers). The work is most often cited by research in Molecular Biology (743 citations), Cell Biology (132 citations), Public Health, Environmental and Occupational Health (208 citations), Obstetrics and Gynecology (46 citations) and Immunology (125 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, Developmental Cell, Science Advances, 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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