M.-A. von Mach

29 total papers · 794 total citations
23 papers, 610 citations indexed

About

M.-A. von Mach is a scholar working on Emergency Medicine, Surgery and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, M.-A. von Mach has authored 23 papers receiving a total of 610 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Emergency Medicine, 5 papers in Surgery and 5 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in M.-A. von Mach's work include Poisoning and overdose treatments (10 papers), Cardiovascular Syncope and Autonomic Disorders (2 papers) and Diabetes Management and Research (2 papers). M.-A. von Mach is often cited by papers focused on Poisoning and overdose treatments (10 papers), Cardiovascular Syncope and Autonomic Disorders (2 papers) and Diabetes Management and Research (2 papers). M.-A. von Mach collaborates with scholars based in Germany, United States and India. M.-A. von Mach's co-authors include L. S. Weilemann, I. Langer, Marius Kraenzlin, Ulrich Keller, R. Stoeckli, Stefan Bilz, Jürgen Burhenne, Jan G. Hengstler, Peter Herbert Kann and Michael Lauterbach and has published in prestigious journals such as Biochemical and Biophysical Research Communications, Metabolism and Cell and Tissue Research.

In The Last Decade

M.-A. von Mach

23 papers receiving 583 citations

Author Peers

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

Author Last Decade Papers Cites
M.-A. von Mach 233 133 122 100 75 23 610
Samuel Zelman 157 0.7× 75 0.6× 43 0.4× 76 0.8× 39 0.5× 36 673
Antoine de Torrenté 129 0.6× 87 0.7× 64 0.5× 35 0.3× 94 1.3× 22 595
Marianna Mastroroberto 123 0.5× 64 0.5× 29 0.2× 71 0.7× 89 1.2× 21 582
Subir R. Maitra 142 0.6× 134 1.0× 31 0.3× 63 0.6× 183 2.4× 29 617
S L Grainger 187 0.8× 49 0.4× 28 0.2× 90 0.9× 50 0.7× 26 644
A Y Chan 77 0.3× 216 1.6× 52 0.4× 67 0.7× 114 1.5× 26 558
Pravit Cadnapaphornchai 95 0.4× 53 0.4× 53 0.4× 62 0.6× 124 1.7× 23 627
Mónica León 294 1.3× 39 0.3× 41 0.3× 43 0.4× 56 0.7× 22 557
B Walton 171 0.7× 19 0.1× 37 0.3× 33 0.3× 43 0.6× 27 547
Howard Klausner 69 0.3× 93 0.7× 107 0.9× 93 0.9× 51 0.7× 31 648

Countries citing papers authored by M.-A. von Mach

Since Specialization
Citations

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

Fields of papers citing papers by M.-A. von Mach

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.-A. von Mach. 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 M.-A. von Mach. The network helps show where M.-A. von Mach may publish in the future.

Co-authorship network of co-authors of M.-A. von Mach

This figure shows the co-authorship network connecting the top 25 collaborators of M.-A. von Mach. A scholar is included among the top collaborators of M.-A. von Mach 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 M.-A. von Mach. M.-A. von Mach 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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