Michal Procházka

109 total papers · 5.1k total citations
76 papers, 4.2k citations indexed

About

Michal Procházka is a scholar working on Molecular Biology, Surgery and Genetics. According to data from OpenAlex, Michal Procházka has authored 76 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Molecular Biology, 27 papers in Surgery and 25 papers in Genetics. Recurrent topics in Michal Procházka's work include Pancreatic function and diabetes (25 papers), Diabetes and associated disorders (13 papers) and Metabolism, Diabetes, and Cancer (12 papers). Michal Procházka is often cited by papers focused on Pancreatic function and diabetes (25 papers), Diabetes and associated disorders (13 papers) and Metabolism, Diabetes, and Cancer (12 papers). Michal Procházka collaborates with scholars based in United States, Czechia and Canada. Michal Procházka's co-authors include Edward H. Leiter, Clifton Bogardus, David Serreze, William C. Knowler, Johanna K. Wolford, Leslie J. Baier, H. Rex Gaskins, Peter H. Bennett, Martin Majer and H Mochizuki and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Michal Procházka

74 papers receiving 4.1k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Michal Procházka 1.7k 1.6k 1.2k 786 682 76 4.2k
Takuya Awata 2.3k 1.3× 2.0k 1.2× 1.4k 1.2× 858 1.1× 851 1.2× 163 6.4k
Kazuhiro Oka 1.9k 1.1× 771 0.5× 843 0.7× 449 0.6× 390 0.6× 74 3.8k
Wilma L. Suarez‐Pinzon 929 0.5× 1.9k 1.2× 2.2k 1.9× 912 1.2× 438 0.6× 59 4.1k
Eiji Yamato 2.1k 1.3× 1.3k 0.8× 1.9k 1.6× 356 0.5× 450 0.7× 81 4.0k
Marianne Böni‐Schnetzler 1.6k 0.9× 1.1k 0.7× 1.4k 1.2× 673 0.9× 817 1.2× 66 4.3k
Fumi Tashiro 3.1k 1.8× 1.2k 0.7× 1.6k 1.3× 707 0.9× 612 0.9× 78 5.8k
Holger Luthman 2.7k 1.6× 1.5k 0.9× 800 0.7× 554 0.7× 502 0.7× 111 4.8k
Rita Bortell 1.8k 1.0× 1.1k 0.7× 1.1k 0.9× 778 1.0× 323 0.5× 88 4.1k
Jennifer Altomonte 1.8k 1.1× 810 0.5× 874 0.7× 270 0.3× 847 1.2× 52 3.6k
Danhong Lu 1.5k 0.9× 813 0.5× 1.7k 1.4× 294 0.4× 535 0.8× 44 3.1k

Countries citing papers authored by Michal Procházka

Since Specialization
Citations

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

Fields of papers citing papers by Michal Procházka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michal Procházka

This figure shows the co-authorship network connecting the top 25 collaborators of Michal Procházka. A scholar is included among the top collaborators of Michal Procházka based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michal Procházka. Michal Procházka is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026