Fabian A. Grimm

43 total papers · 1.9k total citations
30 papers, 1.3k citations indexed

About

Fabian A. Grimm is a scholar working on Molecular Biology, Computational Theory and Mathematics and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Fabian A. Grimm has authored 30 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 8 papers in Computational Theory and Mathematics and 7 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Fabian A. Grimm's work include Computational Drug Discovery Methods (8 papers), Animal testing and alternatives (6 papers) and Toxic Organic Pollutants Impact (6 papers). Fabian A. Grimm is often cited by papers focused on Computational Drug Discovery Methods (8 papers), Animal testing and alternatives (6 papers) and Toxic Organic Pollutants Impact (6 papers). Fabian A. Grimm collaborates with scholars based in United States, Germany and Netherlands. Fabian A. Grimm's co-authors include Ivan Rusyn, Larry W. Robertson, Hans‐Joachim Lehmler, Michael W. Duffel, Fred A. Wright, Keri C. Hornbuckle, Yasuhiro Iwata, Dingfei Hu, Izabela Kania‐Korwel and Gabriele Ludewig and has published in prestigious journals such as Environmental Science & Technology, Scientific Reports and Environmental Health Perspectives.

In The Last Decade

Fabian A. Grimm

28 papers receiving 1.3k citations

Author Peers

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

Author Last Decade Papers Cites
Fabian A. Grimm 656 395 188 173 154 30 1.3k
Fred Parham 549 0.8× 429 1.1× 122 0.6× 87 0.5× 134 0.9× 32 1.2k
Brigitte Landesmann 502 0.8× 346 0.9× 363 1.9× 104 0.6× 136 0.9× 21 1.5k
Pilar Prieto 448 0.7× 342 0.9× 207 1.1× 170 1.0× 143 0.9× 43 1.5k
Daniel Svoboda 406 0.6× 576 1.5× 145 0.8× 72 0.4× 138 0.9× 19 1.2k
Katie Paul Friedman 553 0.8× 287 0.7× 289 1.5× 65 0.4× 129 0.8× 66 1.3k
Michael Gülden 434 0.7× 355 0.9× 73 0.4× 109 0.6× 173 1.1× 40 1.2k
Hasso Seibert 464 0.7× 346 0.9× 75 0.4× 107 0.6× 182 1.2× 45 1.3k
Jui‐Hua Hsieh 531 0.8× 409 1.0× 289 1.5× 49 0.3× 177 1.1× 54 1.3k
Rebecca A. Clewell 944 1.4× 476 1.2× 153 0.8× 72 0.4× 346 2.2× 63 1.7k
Ila Cote 496 0.8× 273 0.7× 154 0.8× 37 0.2× 236 1.5× 26 1.1k

Countries citing papers authored by Fabian A. Grimm

Since Specialization
Citations

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

Fields of papers citing papers by Fabian A. Grimm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fabian A. Grimm

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