Mikhail Kolot

731 citations
36 papers · 503 · h-index 14

Impact in

Papers in

    • CRISPR and Genetic Engineering 7
    • Biochemical and Molecular Research 7
    • RNA and protein synthesis mechanisms 5
    • RNA modifications and cancer 4
    • Bacterial Genetics and Biotechnology 13

Mikhail Kolot

36 papers receiving 495 citations

Peers

Mikhail Kolot
Comparison fields: 5 of 56
  • Endocrinology 37
  • Molecular Biology 326
  • Plant Science 162
  • Insect Science 53
  • Horticulture 4
Replace Gebhard Geier with:
Gebhard Geier Germany
Chaonan Shi China
Shunji Yuki Japan
H. Beier Germany
Marian Longstaff United Kingdom
Yukio Kiho Japan
Finn Haugli Norway
Anne M. Smardon United States
Sharon K. Marr United States
Chris L. Greer United States
Mikhail Kolot relative to Gebhard Geier Germany Gebhard Geier's profile →
Citations per field
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Citations per year

Countries citing papers authored by Mikhail Kolot

Since Specialization
Citations

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

Fields of papers citing papers by Mikhail Kolot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201673
2 201147
3 199936
4 201233
5 201526
6 199924
7 201520
8 200819
9 200519
10 200318
11 199417
12 200015
13 201315
14 200813
15 198113
16 200211
17 20189
18 20159
19 20098
20 20108

About Mikhail Kolot

Mikhail Kolot is a scholar working on Molecular Biology, Genetics, Ecology, Plant Science and Materials Chemistry, having authored 36 papers that have together received 503 indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (13 papers), Bacteriophages and microbial interactions (8 papers), CRISPR and Genetic Engineering (7 papers), Biochemical and Molecular Research (7 papers), RNA and protein synthesis mechanisms (5 papers), RNA modifications and cancer (4 papers), Enzyme Structure and Function (4 papers) and Plant Virus Research Studies (3 papers). The work is most often cited by research in Endocrinology (37 citations), Molecular Biology (326 citations), Plant Science (162 citations), Insect Science (53 citations) and Horticulture (4 citations). Mikhail Kolot has collaborated with scholars based in Israel, United States and Russia. Frequent co-authors include Ezra Yagil, Rena Gorovits, Henryk Czosnek, Adi Moshe, Or Rotem, N. Malchin, Ghandi Anfoka, Iris Sobol, Gali Prag and Viktor Dombrádi. Their work appears in journals such as Journal of Bacteriology, Molecular Genetics and Genomics, Scientific Reports, Gene and Virus Research.

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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