Michal Kudla

42 total papers · 406 total citations
22 papers, 338 citations indexed

About

Michal Kudla is a scholar working on Surgery, Transplantation and Nutrition and Dietetics. According to data from OpenAlex, Michal Kudla has authored 22 papers receiving a total of 338 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Surgery, 8 papers in Transplantation and 8 papers in Nutrition and Dietetics. Recurrent topics in Michal Kudla's work include Clinical Nutrition and Gastroenterology (8 papers), Organ Transplantation Techniques and Outcomes (5 papers) and Organ and Tissue Transplantation Research (4 papers). Michal Kudla is often cited by papers focused on Clinical Nutrition and Gastroenterology (8 papers), Organ Transplantation Techniques and Outcomes (5 papers) and Organ and Tissue Transplantation Research (4 papers). Michal Kudla collaborates with scholars based in Czechia, United States and Austria. Michal Kudla's co-authors include Peter Baláž, Martin Leníček, Libor Vı́tek, Jaroslav Zelenka, M Zadinová, Vladimı́r Teplan, Martin Haluzı́k, Markéta Bártlová, Lucie Muchová and Miloš Mráz and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Cancer and Nutrition.

In The Last Decade

Michal Kudla

20 papers receiving 335 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 Kudla 126 98 83 67 66 22 338
Qiuju Wei 58 0.5× 130 1.3× 37 0.4× 75 1.1× 43 0.7× 33 381
Cristian González‐Guerrero 65 0.5× 118 1.2× 35 0.4× 34 0.5× 41 0.6× 13 376
Jiansheng Xiao 53 0.4× 161 1.6× 55 0.7× 44 0.7× 26 0.4× 24 309
Min Yang 103 0.8× 65 0.7× 28 0.3× 23 0.3× 40 0.6× 17 344
Flor Á. Ordóñez 47 0.4× 164 1.7× 18 0.2× 47 0.7× 42 0.6× 16 378
Zhendi Wang 75 0.6× 128 1.3× 95 1.1× 19 0.3× 22 0.3× 15 306
Gerard J. Davis 86 0.7× 81 0.8× 52 0.6× 50 0.7× 20 0.3× 21 370
Huan-Tang Lin 51 0.4× 89 0.9× 36 0.4× 59 0.9× 14 0.2× 28 334
Xiaohui Liao 65 0.5× 157 1.6× 86 1.0× 130 1.9× 26 0.4× 34 371
Tian‐Hua Xu 42 0.3× 92 0.9× 42 0.5× 30 0.4× 21 0.3× 20 379

Countries citing papers authored by Michal Kudla

Since Specialization
Citations

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

Fields of papers citing papers by Michal Kudla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michal Kudla

This figure shows the co-authorship network connecting the top 25 collaborators of Michal Kudla. A scholar is included among the top collaborators of Michal Kudla 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 Kudla. Michal Kudla is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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