Sergey Proshkin

1.4k citations
18 papers · 1.0k · h-index 9

Impact in

  • Genetics top 5%
    • Bacterial Genetics and Biotechnology
    • RNA and protein synthesis mechanisms
    • RNA modifications and cancer
    • DNA Repair Mechanisms
    • RNA Research and Splicing
    • CRISPR and Genetic Engineering
    • Genomics and Chromatin Dynamics

Papers in

    • RNA and protein synthesis mechanisms 9
    • RNA Research and Splicing 8
    • DNA Repair Mechanisms 5
    • RNA modifications and cancer 5
    • CRISPR and Genetic Engineering 3
    • Genomics and Chromatin Dynamics 3
    • Bacterial Genetics and Biotechnology 11

Sergey Proshkin

18 papers receiving 1000 citations

Peers

Sergey Proshkin
Comparison fields: 5 of 66
  • Genetics 586
  • Molecular Biology 921
  • Molecular Medicine 60
  • Ecology 202
  • Endocrinology 29
Replace Robert S. Washburn with:
Robert S. Washburn United States
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Citations per field
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Robert S. Washburn · 1×
Citations per year

Countries citing papers authored by Sergey Proshkin

Since Specialization
Citations

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

Fields of papers citing papers by Sergey Proshkin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2010412
2 2014176
3 2012167
4 201690
5 202062
6 200024
7 201424
8 201114
9 202310
10 20238
11 20197
12 20166
13 20165
14 20073
15 20252
16 20031
17 20111
18
[Exon-intron organization rpb10+ and rpc10+ genes of Schizosaccharomyces pombe, coding for mini-subunits of nuclear RNA-polymerase I-III].
19981

About Sergey Proshkin

Sergey Proshkin is a scholar working on Molecular Biology, Genetics, Ecology, Endocrinology and Materials Chemistry, having authored 18 papers that have together received 1.0k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (11 papers), RNA and protein synthesis mechanisms (9 papers), RNA Research and Splicing (8 papers), DNA Repair Mechanisms (5 papers), RNA modifications and cancer (5 papers), CRISPR and Genetic Engineering (3 papers), Genomics and Chromatin Dynamics (3 papers) and Bacteriophages and microbial interactions (2 papers). The work is most often cited by research in Genetics (586 citations), Molecular Biology (921 citations), Molecular Medicine (60 citations), Ecology (202 citations) and Endocrinology (29 citations). Sergey Proshkin has collaborated with scholars based in Russia, United States and France. Frequent co-authors include А. С. Миронов, Evgeny Nudler, A. Rachid Rahmouni, Vitaly Epshtein, Venu Kamarthapu, Vladimir Svetlov, Eduardo A. Groisman, Beatrix Ueberheide, Michael Cashel and Bradley Benjamin. Their work appears in journals such as Nature, Science, Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms, Nature Structural & Molecular Biology and International Journal of Molecular Sciences.

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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