S. E. Cheperegin

881 citations
20 papers · 707 · h-index 9

Impact in

  • Cell Biology top 10%
    • Cellular transport and secretion
    • Microtubule and mitosis dynamics
    • RNA and protein synthesis mechanisms
    • Fungal and yeast genetics research
    • RNA Research and Splicing
    • RNA modifications and cancer
    • Plant Reproductive Biology
    • Prion Diseases and Protein Misfolding

Papers in

    • Fungal and yeast genetics research 6
    • Ubiquitin and proteasome pathways 3
    • Cellular transport and secretion 4
    • Endoplasmic Reticulum Stress and Disease 3

S. E. Cheperegin

19 papers receiving 700 citations

Peers

S. E. Cheperegin
Comparison fields: 5 of 59
  • Cell Biology 201
  • Molecular Biology 653
  • Neurology 34
  • Biotechnology 26
  • Aging 5
Replace Lee J. Byrne with:
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Citations per field
00.5×1.5×
Lee J. Byrne · 1×
Citations per year

Countries citing papers authored by S. E. Cheperegin

Since Specialization
Citations

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

Fields of papers citing papers by S. E. Cheperegin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. E. Cheperegin. 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 S. E. Cheperegin. The network helps show where S. E. Cheperegin may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 1994332
2 200369
3 200259
4 200553
5 200452
6 201633
7 199933
8 200430
9 200425
10 20184
11 20103
12 20133
13 20193
14 20202
15 20232
16 20101
17 20201
18 20191
19 20191
20 20190

About S. E. Cheperegin

S. E. Cheperegin is a scholar working on Molecular Biology, Cell Biology, Biotechnology, Food Science and Materials Chemistry, having authored 20 papers that have together received 707 indexed citations. Recurring topics across this work include Fungal and yeast genetics research (6 papers), Cellular transport and secretion (4 papers), Endoplasmic Reticulum Stress and Disease (3 papers), Enzyme Structure and Function (3 papers), Ubiquitin and proteasome pathways (3 papers), Pancreatic function and diabetes (2 papers), Peptidase Inhibition and Analysis (2 papers) and Cancer Research and Treatments (2 papers). The work is most often cited by research in Cell Biology (201 citations), Molecular Biology (653 citations), Neurology (34 citations), Biotechnology (26 citations) and Aging (5 citations). S. E. Cheperegin has collaborated with scholars based in Russia, United States and Sweden. Frequent co-authors include Erfei Bi, Xiang‐Dong Gao, Anne‐Lise Haenni, L Iu Frolova, Just Justesen, Xavier Le Goff, I.P. Arman, Gabrièle Drugeon, Lev L. Kisselev and Hanne H. Rasmussen. Their work appears in journals such as Molecular Biology of the Cell, The Journal of Cell Biology, Applied Biochemistry and Biotechnology, Journal of Biological Chemistry and Nature.

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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