Michael M. Hoffmann

202 papers receiving 6.0k citations

Michael M. Hoffmann's Hit Papers

Genetic associations at 53 loci highlight cell types and biological pathways relevant for kidney function 2016 · 430 citations
4300+3+6Years since publication100200300400

Peers

Michael M. Hoffmann
Comparison fields: 5 of 105
  • Computer Graphics and Computer-Aided Design 184
  • Geriatrics and Gerontology 100
  • Pharmacology 245
  • Nephrology 288
  • Computational Theory and Mathematics 333
Replace Emma Ahlqvist with:
Emma Ahlqvist Sweden
Michael Lehrke Germany
Yin Wang China
Nobuyuki Enomoto Japan
Liam R. Brunham Canada
Chang Liu China
Harshal Deshmukh United Kingdom
Jing Li China
Yigal M. Pinto Netherlands
Russell A. Wilke United States
Michael M. Hoffmann relative to Emma Ahlqvist Sweden Emma Ahlqvist's profile →
Citations per field
00.5×10×20×33.3×
Emma Ahlqvist · 1×
Citations per year

Countries citing papers authored by Michael M. Hoffmann

Since Specialization
Citations

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

Fields of papers citing papers by Michael M. Hoffmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael M. Hoffmann. 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 Michael M. Hoffmann. The network helps show where Michael M. Hoffmann may publish in the future.

Co-authors

The 25 scholars most cited alongside Michael M. Hoffmann, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Michael M. Hoffmann Line = papers co-authored together Michael M. Hoffmann links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 215 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Genetic associations at 53 loci highlight cell types and biological pathways relevant for kidney function
Hit paper breakdown →
2016430
2 2005275
3 2005241
4 2008181
5 2015169
6 2011164
7 2009159
8 2015136
9 2011121
10 2002113
11 2005109
12 2007108
13 199999
14 200399
15 201498
16 201097
17 200987
18 201086
19 201386
20 201184

About Michael M. Hoffmann

Michael M. Hoffmann is a scholar working on Computer Graphics and Computer-Aided Design, Computational Theory and Mathematics, Surgery, Cardiology and Cardiovascular Medicine and Genetics, having authored 215 papers that have together received 6.2k indexed citations. Recurring topics across this work include Computational Geometry and Mesh Generation (32 papers), Lipoproteins and Cardiovascular Health (21 papers), Advanced Graph Theory Research (17 papers), Lipid metabolism and disorders (12 papers), Genetic Associations and Epidemiology (11 papers), Complexity and Algorithms in Graphs (10 papers), Adrenal and Paraganglionic Tumors (6 papers) and Pharmacogenetics and Drug Metabolism (6 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (184 citations), Geriatrics and Gerontology (100 citations), Pharmacology (245 citations), Nephrology (288 citations) and Computational Theory and Mathematics (333 citations). Michael M. Hoffmann has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Winfried März, Karl Winkler, Heinrich Wieland, Bernhard Rudolf Winkelmann, Thomas Erlebach, Johanna Weiß, Walter E. Haefeli, Bernhard Otto Boehm, Markus Nauck and Hubert Scharnagl. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Atherosclerosis, Computational Geometry, Clinical Chemistry and Journal of Graph Algorithms and Applications.

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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