Bálint Bécsi

545 citations
28 papers · 434 · h-index 12

Impact in

Papers in

Bálint Bécsi

26 papers receiving 432 citations

Peers

Bálint Bécsi
Comparison fields: 5 of 77
  • Applied Microbiology and Biotechnology 11
  • Cell Biology 76
  • Biochemistry 22
  • Immunology 74
  • Molecular Biology 199
Replace Shan Zhao with:
Shan Zhao China
Songyun Zhu United States
Amy L. Silvers United States
Sabnam Parbin India
Seung Hee Jung South Korea
Miguel A. Mendoza‐Catalán Mexico
Jingwei Zhang China
Xiangshan Ren China
Y C Wong Hong Kong
Bálint Bécsi relative to Shan Zhao China Shan Zhao's profile →
Citations per field
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Shan Zhao · 1×
Citations per year

Countries citing papers authored by Bálint Bécsi

Since Specialization
Citations

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

Fields of papers citing papers by Bálint Bécsi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009120
2 200835
3 201032
4 200832
5 201228
6 201724
7 201223
8 201717
9 201117
10 202114
11 201714
12 201513
13 201811
14 201410
15 20168
16 20198
17 20187
18 20224
19 20214
20 20173

About Bálint Bécsi

Bálint Bécsi is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Cell Biology, Physiology and Cardiology and Cardiovascular Medicine, having authored 28 papers that have together received 434 indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (4 papers), Blood properties and coagulation (4 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), Cardiomyopathy and Myosin Studies (3 papers), Cellular transport and secretion (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Erythrocyte Function and Pathophysiology (2 papers) and Cancer-related gene regulation (2 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (11 citations), Cell Biology (76 citations), Biochemistry (22 citations), Immunology (74 citations) and Molecular Biology (199 citations). Bálint Bécsi has collaborated with scholars based in Hungary, United States and India. Frequent co-authors include Ferenc Erdődi, Andrea Kiss, Beáta Lontay, György Vámosi, László Fésüs, Pál Gergely, Zoltán Kónya, Katalin E. Kövér, Zoltán Balajthy and Zsuzsa Szondy. Their work appears in journals such as International Journal of Molecular Sciences, Biophysical Journal, Biomolecules, Scientific Reports and Seminars in Thrombosis and Hemostasis.

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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