Martin Schmutzler

27 total papers · 768 total citations
23 papers, 583 citations indexed

About

Martin Schmutzler is a scholar working on Surgery, Cardiology and Cardiovascular Medicine and Pathology and Forensic Medicine. According to data from OpenAlex, Martin Schmutzler has authored 23 papers receiving a total of 583 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Surgery, 7 papers in Cardiology and Cardiovascular Medicine and 6 papers in Pathology and Forensic Medicine. Recurrent topics in Martin Schmutzler's work include Liver Disease and Transplantation (5 papers), Organ Transplantation Techniques and Outcomes (5 papers) and Cardiac, Anesthesia and Surgical Outcomes (5 papers). Martin Schmutzler is often cited by papers focused on Liver Disease and Transplantation (5 papers), Organ Transplantation Techniques and Outcomes (5 papers) and Cardiac, Anesthesia and Surgical Outcomes (5 papers). Martin Schmutzler collaborates with scholars based in Germany, United States and Brazil. Martin Schmutzler's co-authors include Wolfgang Konertz, Thomas Volk, Wolfgang J. Kox, F. Waldenberger, R. Scherer, Tilman Grune, R. Giebler, Nicolle Sitte, J. Erhard and W. J. Kox and has published in prestigious journals such as Free Radical Biology and Medicine, Critical Care Medicine and European Journal of Cancer.

In The Last Decade

Martin Schmutzler

23 papers receiving 563 citations

Author Peers

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

Author						Papers	Cites
Martin Schmutzler	294	205	103	100	90	23	583
Terence J. McMurray	338 1.1×	170 0.8×	119 1.2×	60 0.6×	57 0.6×	15	600
Martina Crivellari	177 0.6×	218 1.1×	98 1.0×	74 0.7×	72 0.8×	36	579
V. Pathi	349 1.2×	262 1.3×	70 0.7×	83 0.8×	142 1.6×	30	594
Juha Nissinen	314 1.1×	341 1.7×	102 1.0×	71 0.7×	137 1.5×	30	659
Jürgen Birnbaum	351 1.2×	263 1.3×	79 0.8×	126 1.3×	84 0.9×	35	668
Qiang Ji	251 0.9×	315 1.5×	50 0.5×	74 0.7×	85 0.9×	33	551
Calogero C. Tedesco	215 0.7×	326 1.6×	39 0.4×	115 1.1×	164 1.8×	25	684
Markus Haisjackl	255 0.9×	174 0.8×	73 0.7×	121 1.2×	129 1.4×	30	637
M. M. Kirsh	163 0.6×	192 0.9×	106 1.0×	35 0.3×	62 0.7×	22	542
Fellery de Lange	277 0.9×	269 1.3×	80 0.8×	97 1.0×	143 1.6×	33	595

Countries citing papers authored by Martin Schmutzler

Since Specialization

Citations

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

Fields of papers citing papers by Martin Schmutzler

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Schmutzler

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