Hans Peter Maerki

19 total papers · 507 total citations
9 papers, 417 citations indexed

About

Hans Peter Maerki is a scholar working on Molecular Biology, Epidemiology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Hans Peter Maerki has authored 9 papers receiving a total of 417 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Epidemiology and 2 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Hans Peter Maerki's work include Receptor Mechanisms and Signaling (5 papers), Neuroendocrine Tumor Research Advances (3 papers) and Metabolism, Diabetes, and Cancer (2 papers). Hans Peter Maerki is often cited by papers focused on Receptor Mechanisms and Signaling (5 papers), Neuroendocrine Tumor Research Advances (3 papers) and Metabolism, Diabetes, and Cancer (2 papers). Hans Peter Maerki collaborates with scholars based in Switzerland, United States and France. Hans Peter Maerki's co-authors include G. Nguyen, Pierre Corvol, Lucienne Juillerat‐Jeanneret, Wolfgang Wostl, Jérôme Célérier, Catherine Chapuis Bernasconi, Nicole A. Kratochwil, James N.C. Kew, Pari Malherbe and Frédéric Knoflach and has published in prestigious journals such as Journal of Biological Chemistry, British Journal of Cancer and The Journal of Organic Chemistry.

In The Last Decade

Hans Peter Maerki

9 papers receiving 409 citations

Author Peers

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

Author Last Decade Papers Cites
Hans Peter Maerki 234 109 78 67 64 9 417
Amy E. Monaghan 236 1.0× 82 0.8× 44 0.6× 23 0.3× 15 0.2× 13 390
Gilbert W. Kim 147 0.6× 37 0.3× 41 0.5× 72 1.1× 41 0.6× 9 389
Takanobu Takezako 249 1.1× 108 1.0× 60 0.8× 16 0.2× 111 1.7× 10 376
Laura L. Souza 137 0.6× 109 1.0× 69 0.9× 40 0.6× 130 2.0× 10 449
Dennis Norman 142 0.6× 30 0.3× 38 0.5× 128 1.9× 14 0.2× 11 382
Robin Shapiro 198 0.8× 31 0.3× 51 0.7× 109 1.6× 11 0.2× 12 387
Darren Riddy 261 1.1× 74 0.7× 35 0.4× 22 0.3× 10 0.2× 15 476
Maggie S. McIntyre 272 1.2× 73 0.7× 66 0.8× 21 0.3× 64 1.0× 9 463
Helen R. Heathcote 252 1.1× 48 0.4× 75 1.0× 24 0.4× 44 0.7× 7 464
Gerd Krause 324 1.4× 155 1.4× 120 1.5× 44 0.7× 6 0.1× 13 462

Countries citing papers authored by Hans Peter Maerki

Since Specialization
Citations

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

Fields of papers citing papers by Hans Peter Maerki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hans Peter Maerki

This figure shows the co-authorship network connecting the top 25 collaborators of Hans Peter Maerki. A scholar is included among the top collaborators of Hans Peter Maerki 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 Peter Maerki. Hans Peter Maerki 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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