Sofia Khaitlina

62 papers receiving 1.4k citations

Peers

Sofia Khaitlina
Comparison fields: 5 of 104
  • Cell Biology 633
  • Biophysics 119
  • Endocrinology 105
  • Cardiology and Cardiovascular Medicine 383
  • Immunology and Allergy 79
Replace Martin A. Wear with:
Martin A. Wear United Kingdom
Louis Renault France
Vitold E. Galkin United States
Thomas P. Loisel Canada
Dmitri S. Kudryashov United States
Markus Maniak Germany
Marleen Van Troys Belgium
Elena Kudryashova United States
Richard Lundmark Sweden
Ivan E. Ivanov United States
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Citations per field
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Citations per year

Countries citing papers authored by Sofia Khaitlina

Since Specialization
Citations

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

Fields of papers citing papers by Sofia Khaitlina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001143
2 1993128
3 200279
4 199371
5 199361
6 201547
7 199147
8 200243
9 199941
10 199738
11 201037
12 200637
13 198835
14 199634
15 200033
16 199731
17 200929
18 199929
19 200328
20 200827

About Sofia Khaitlina

Sofia Khaitlina is a scholar working on Molecular Biology, Cell Biology, Cardiology and Cardiovascular Medicine, Endocrinology and Genetics, having authored 62 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (26 papers), Cardiomyopathy and Myosin Studies (13 papers), Bacterial biofilms and quorum sensing (11 papers), Vibrio bacteria research studies (8 papers), Enzyme Structure and Function (7 papers), Bacterial Genetics and Biotechnology (6 papers), Polymer Surface Interaction Studies (5 papers) and Neuroscience and Neuropharmacology Research (4 papers). The work is most often cited by research in Cell Biology (633 citations), Biophysics (119 citations), Endocrinology (105 citations), Cardiology and Cardiovascular Medicine (383 citations) and Immunology and Allergy (79 citations). Sofia Khaitlina has collaborated with scholars based in Russia, Germany and Poland. Frequent co-authors include Hanna Strzelecka-Gołaszewska, Horst Hinssen, Joanna Moraczewska, Małgorzata Mossakowska, Konstantin К. Turoverov, Irina М. Kuznetsova, Yuri A. Negulyaev, Ilya V. Demidyuk, Brigitte M. Jockusch and Susanne Illenberger. Their work appears in journals such as FEBS Letters, Cell Biology International, International Journal of Molecular Sciences, Biophysical Journal and FEBS Journal.

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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