B Somogyi

430 citations
30 papers · 188 · h-index 6

Impact in

Papers in

    • Microbial Metabolic Engineering and Bioproduction 3
    • Enzyme Catalysis and Immobilization 2
    • SARS-CoV-2 and COVID-19 Research 5
    • Viral Infections and Vectors 3

B Somogyi

27 papers receiving 184 citations

Peers

B Somogyi
Comparison fields: 5 of 80
  • Cell Biology 58
  • Biophysics 19
  • Infectious Diseases 33
  • Surfaces, Coatings and Films 9
  • Cardiology and Cardiovascular Medicine 25
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Citations per year

Countries citing papers authored by B Somogyi

Since Specialization
Citations

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

Fields of papers citing papers by B Somogyi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202045
2 199726
3 199823
4 198118
5 199613
6 20217
7
A molecular enzyme kinetic model.
19715
8 20214
9 20214
10 20204
11 20184
12
A theoretical model for calculation of the rate constant of enzyme-substrate complex formation. I. Calculation of rate constant in the case of motionless enzyme molecule without nonspecific intermolecular forces.
19734
13 20223
14 19983
15 20193
16 19953
17
[Blood supply of the spinal ganglion].
19733
18
Changes in the intramembrane viscosity of sheep erythrocytes in the presence of membrane bound proteins.
19803
19 20252
20
Lattice model for diffusion in liquids.
19712

About B Somogyi

B Somogyi is a scholar working on Molecular Biology, Infectious Diseases, Cardiology and Cardiovascular Medicine, Animal Science and Zoology and Cell Biology, having authored 30 papers that have together received 188 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (5 papers), Viral Infections and Vectors (3 papers), Microbial Metabolic Engineering and Bioproduction (3 papers), Cardiomyopathy and Myosin Studies (3 papers), Animal Virus Infections Studies (3 papers), Enzyme Catalysis and Immobilization (2 papers), Metabolism and Genetic Disorders (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). The work is most often cited by research in Cell Biology (58 citations), Biophysics (19 citations), Infectious Diseases (33 citations), Surfaces, Coatings and Films (9 citations) and Cardiology and Cardiovascular Medicine (25 citations). B Somogyi has collaborated with scholars based in Hungary, Spain and United States. Frequent co-authors include Miklós Nyitrai, Gábor Hild, Joseph Belágyi, Sándor Damjanovich, Gábor Kemenesi, Ferenc Jakab, Róbert Herczeg, Gábor Endre Tóth, Kornélia Kurucz and László Kornya. Their work appears in journals such as Journal of Photochemistry and Photobiology B Biology, Biophysical Journal, Viruses, Scientific Reports and Microchimica Acta.

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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