Л. Б. Дробот

1.4k citations
52 papers · 835 · h-index 17

Impact in

Papers in

    • Protein Kinase Regulation and GTPase Signaling 9
    • Ubiquitin and proteasome pathways 4
    • Signaling Pathways in Disease 4
    • RNA modifications and cancer 4
    • Cellular transport and secretion 6

Л. Б. Дробот

44 papers receiving 816 citations

Peers

Л. Б. Дробот
Comparison fields: 5 of 81
  • Immunology and Allergy 62
  • Cell Biology 156
  • Physiology 40
  • Nephrology 56
  • Molecular Biology 467
Replace Marcella Debidda with:
Marcella Debidda United States
Christin Karlsson Sweden
Barbara Ulmasov United States
Yun Gyu Park United States
Erica Salvati Italy
Tiefeng Jin China
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Yasuo Fukumoto Japan
Delphine Courilleau France
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Citations per field
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Citations per year

Countries citing papers authored by Л. Б. Дробот

Since Specialization
Citations

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

Fields of papers citing papers by Л. Б. Дробот

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Л. Б. Дробот. 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 Л. Б. Дробот. The network helps show where Л. Б. Дробот may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000126
2 201170
3 201169
4 201760
5 201052
6 200443
7 200940
8 202235
9 201929
10 200228
11 201228
12 200926
13 200521
14 202121
15 200421
16
Radiation-induced DNA damage and its repair in lymphocytes of patients with head and neck cancer and healthy donors.
200220
17
Expression of adaptor protein Ruk/CIN85 isoforms in cell lines of various tissue origins and human melanoma.
200618
18 202113
19 201112
20 201512

About Л. Б. Дробот

Л. Б. Дробот is a scholar working on Molecular Biology, Cell Biology, Organic Chemistry, Oncology and Immunology and Allergy, having authored 52 papers that have together received 835 indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (9 papers), Cell Adhesion Molecules Research (8 papers), Fullerene Chemistry and Applications (7 papers), Cellular transport and secretion (6 papers), Graphene and Nanomaterials Applications (5 papers), Ubiquitin and proteasome pathways (4 papers), Signaling Pathways in Disease (4 papers) and RNA modifications and cancer (4 papers). The work is most often cited by research in Immunology and Allergy (62 citations), Cell Biology (156 citations), Physiology (40 citations), Nephrology (56 citations) and Molecular Biology (467 citations). Л. Б. Дробот has collaborated with scholars based in Ukraine, United Kingdom and Germany. Frequent co-authors include Vladimir L. Buchman, Ivan Gout, Natalia Ninkina, Olga Matyshevska, Svitlana Prylutska, Uwe Ritter, Alun M. Davies, Jimi Adu, Michael D. Waterfield and Gayle Middleton. Their work appears in journals such as Phytochemistry, Nanoscale Research Letters, Carcinogenesis, Oncotarget and British Journal of Pharmacology.

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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