Hans Peter Grimm

60 total papers · 919 total citations
25 papers, 505 citations indexed

About

Hans Peter Grimm is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology and Immunology. According to data from OpenAlex, Hans Peter Grimm has authored 25 papers receiving a total of 505 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Radiology, Nuclear Medicine and Imaging, 8 papers in Molecular Biology and 7 papers in Immunology. Recurrent topics in Hans Peter Grimm's work include Monoclonal and Polyclonal Antibodies Research (12 papers), Protein purification and stability (6 papers) and Alzheimer's disease research and treatments (4 papers). Hans Peter Grimm is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (12 papers), Protein purification and stability (6 papers) and Alzheimer's disease research and treatments (4 papers). Hans Peter Grimm collaborates with scholars based in Switzerland, United States and United Kingdom. Hans Peter Grimm's co-authors include Thierry Lavé, Neil Parrott, Micaela B. Reddy, Michael B. Otteneder, Ben‐Fillippo Krippendorff, Sabine Arnold, Bernard Faller, Xavier Briand, Franz Schuler and Björn Wagner and has published in prestigious journals such as Clinical Cancer Research, International Journal of Molecular Sciences and Journal of Medicinal Chemistry.

In The Last Decade

Hans Peter Grimm

24 papers receiving 486 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 Grimm 154 149 114 83 62 25 505
Yuko Tsukamoto 212 1.4× 92 0.6× 192 1.7× 65 0.8× 47 0.8× 17 603
Rachel H. Rose 231 1.5× 177 1.2× 81 0.7× 109 1.3× 20 0.3× 17 487
Yoshiaki Ohtsu 99 0.6× 74 0.5× 87 0.8× 44 0.5× 34 0.5× 26 470
Azher Hussain 270 1.8× 65 0.4× 104 0.9× 84 1.0× 82 1.3× 22 569
Stanley Roberts 202 1.3× 65 0.4× 126 1.1× 114 1.4× 13 0.2× 19 592
Tarundeep Kakkar 250 1.6× 138 0.9× 92 0.8× 110 1.3× 41 0.7× 18 531
Pascal Espié 105 0.7× 42 0.3× 92 0.8× 111 1.3× 65 1.0× 21 619
Simon T. Hodgson 170 1.1× 31 0.2× 97 0.9× 114 1.4× 46 0.7× 30 565
Lewis J. Klunk 159 1.0× 36 0.2× 91 0.8× 26 0.3× 19 0.3× 25 454
J. C. Madelmont 259 1.7× 155 1.0× 123 1.1× 25 0.3× 45 0.7× 36 505

Countries citing papers authored by Hans Peter Grimm

Since Specialization
Citations

This map shows the geographic impact of Hans Peter Grimm'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 Grimm 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 Grimm more than expected).

Fields of papers citing papers by Hans Peter Grimm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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