Hans Markus Münter

1.0k total citations
5 papers, 68 citations indexed

About

Hans Markus Münter is a scholar working on Genetics, Immunology and Surgery. According to data from OpenAlex, Hans Markus Münter has authored 5 papers receiving a total of 68 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Genetics, 2 papers in Immunology and 1 paper in Surgery. Recurrent topics in Hans Markus Münter's work include Genetic Associations and Epidemiology (2 papers), Advanced Causal Inference Techniques (1 paper) and IL-33, ST2, and ILC Pathways (1 paper). Hans Markus Münter is often cited by papers focused on Genetic Associations and Epidemiology (2 papers), Advanced Causal Inference Techniques (1 paper) and IL-33, ST2, and ILC Pathways (1 paper). Hans Markus Münter collaborates with scholars based in Canada, United States and Japan. Hans Markus Münter's co-authors include Alex Diaz-Papkovich, Simon Gravel, Charles Dupras, Audrey V. Grant, Eva Kaufmann, Nargis Khan, Luda Diatchenko, Judith N. Mandl, Koichi Matsuda and Atsushi Shimizu and has published in prestigious journals such as Nature, Nature Genetics and Cell Death and Disease.

In The Last Decade

Hans Markus Münter

5 papers receiving 67 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Hans Markus Münter Canada 4 25 17 15 10 10 5 68
Anna Andrusaite United Kingdom 5 10 0.4× 28 1.6× 32 2.1× 5 0.5× 13 1.3× 7 82
C.M. Calò Italy 7 67 2.7× 18 1.1× 14 0.9× 10 1.0× 3 0.3× 20 125
Leticia Laura Niborski Argentina 6 10 0.4× 28 1.6× 25 1.7× 8 0.8× 8 0.8× 8 104
Subulade A. Ademola Nigeria 5 12 0.5× 6 0.4× 21 1.4× 7 0.7× 7 0.7× 17 80
Matthieu Bouaziz France 6 70 2.8× 30 1.8× 9 0.6× 5 0.5× 9 121
A. H. M. Andreasen Denmark 6 6 0.2× 12 0.7× 11 0.7× 25 2.5× 16 1.6× 7 86
Jin Yuan China 5 17 0.7× 16 0.9× 5 0.3× 2 0.2× 2 0.2× 9 75
Leila Godfrey United Kingdom 5 19 0.8× 23 1.4× 63 4.2× 7 0.7× 2 0.2× 7 107
Jeffrey Hsu United States 5 31 1.2× 15 0.9× 23 1.5× 3 0.3× 7 91
Seulgi Jung South Korea 8 65 2.6× 28 1.6× 29 1.9× 21 2.1× 1 0.1× 12 103

Countries citing papers authored by Hans Markus Münter

Since Specialization
Citations

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

Fields of papers citing papers by Hans Markus Münter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hans Markus Münter. 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 Hans Markus Münter. The network helps show where Hans Markus Münter may publish in the future.

Co-authorship network of co-authors of Hans Markus Münter

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

All Works

5 of 5 papers shown
1.
Yang, Jingyun, Jessica Cinkornpumin, Bin Xiao, et al.. (2025). Loss of the APP regulator RHBDL4 preserves memory in an Alzheimer’s disease mouse model. Cell Death and Disease. 16(1). 280–280. 3 indexed citations
2.
He, Yunye, Masaru Koido, Yoichi Sutoh, et al.. (2023). East Asian-specific and cross-ancestry genome-wide meta-analyses provide mechanistic insights into peptic ulcer disease. Nature Genetics. 55(12). 2129–2138. 9 indexed citations
3.
Shi, Mingyang, Chizu Tanikawa, Hans Markus Münter, et al.. (2023). Genotype imputation accuracy and the quality metrics of the minor ancestry in multi-ancestry reference panels. Briefings in Bioinformatics. 25(1). 2 indexed citations
4.
Diaz-Papkovich, Alex, et al.. (2020). Don’t ignore genetic data from minority populations. Nature. 585(7824). 184–186. 34 indexed citations
5.
Shah, Kathleen, Ghislaine Fontès, Eva Kaufmann, et al.. (2019). NK cell recruitment limits tissue damage during an enteric helminth infection. Mucosal Immunology. 13(2). 357–370. 20 indexed citations

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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