Witold Żmuda

25 total papers · 1.3k total citations
13 papers, 159 citations indexed

About

Witold Żmuda is a scholar working on Surgery, Cancer Research and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Witold Żmuda has authored 13 papers receiving a total of 159 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Surgery, 5 papers in Cancer Research and 3 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Witold Żmuda's work include Lipoproteins and Cardiovascular Health (10 papers), Cancer, Lipids, and Metabolism (5 papers) and Adipokines, Inflammation, and Metabolic Diseases (3 papers). Witold Żmuda is often cited by papers focused on Lipoproteins and Cardiovascular Health (10 papers), Cancer, Lipids, and Metabolism (5 papers) and Adipokines, Inflammation, and Metabolic Diseases (3 papers). Witold Żmuda collaborates with scholars based in Poland, United States and China. Witold Żmuda's co-authors include Bogusław Okopień, Robert Krysiak, Bogdan Marek, Beata Kowalska, Szilárd Vasas, Neeta B. Amin, Robert Frederich, Timothy R. Smith, Qi Zhu and Sarah Dubrava and has published in prestigious journals such as Journal of Internal Medicine, Diabetes Obesity and Metabolism and Journal of Clinical Medicine.

In The Last Decade

Witold Żmuda

13 papers receiving 157 citations

Author Peers

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

Author Last Decade Papers Cites
Witold Żmuda 97 51 49 29 24 13 159
Fiona Carr 90 0.9× 18 0.4× 20 0.4× 94 3.2× 24 1.0× 12 214
Joseph H. Barach 86 0.9× 34 0.7× 21 0.4× 77 2.7× 39 1.6× 7 217
Maria Ryaboshapkina 54 0.6× 17 0.3× 70 1.4× 33 1.1× 9 0.4× 10 195
Eric Klug 98 1.0× 20 0.4× 46 0.9× 53 1.8× 78 3.3× 12 240
Joseph Ipe 66 0.7× 55 1.1× 21 0.4× 7 0.2× 25 1.0× 18 267
Ji Soo Lee 38 0.4× 14 0.3× 29 0.6× 8 0.3× 10 0.4× 9 140
Maija Ruuth 117 1.2× 41 0.8× 38 0.8× 81 2.8× 38 1.6× 18 270
Marta Fanlo‐Maresma 23 0.2× 15 0.3× 26 0.5× 22 0.8× 25 1.0× 13 115
Elise Lim 122 1.3× 32 0.6× 32 0.7× 94 3.2× 43 1.8× 16 248
John S. Melish 102 1.1× 65 1.3× 38 0.8× 160 5.5× 66 2.8× 11 248

Countries citing papers authored by Witold Żmuda

Since Specialization
Citations

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

Fields of papers citing papers by Witold Żmuda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Witold Żmuda

This figure shows the co-authorship network connecting the top 25 collaborators of Witold Żmuda. A scholar is included among the top collaborators of Witold Żmuda 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 Witold Żmuda. Witold Żmuda 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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