Torsten H. Geerlings

11 total papers · 574 total citations
8 papers, 444 citations indexed

About

Torsten H. Geerlings is a scholar working on Molecular Biology, Genetics and Pharmacology. According to data from OpenAlex, Torsten H. Geerlings has authored 8 papers receiving a total of 444 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Genetics and 2 papers in Pharmacology. Recurrent topics in Torsten H. Geerlings's work include RNA and protein synthesis mechanisms (4 papers), Bacterial Genetics and Biotechnology (3 papers) and RNA modifications and cancer (3 papers). Torsten H. Geerlings is often cited by papers focused on RNA and protein synthesis mechanisms (4 papers), Bacterial Genetics and Biotechnology (3 papers) and RNA modifications and cancer (3 papers). Torsten H. Geerlings collaborates with scholars based in Netherlands and United Kingdom. Torsten H. Geerlings's co-authors include Hendrik A. Raué, J. Chris Vos, Neil Dixon, Jason Micklefield, John Duncan, John E.G. McCarthy, Mark S. Dunstan, David Leys, Alex W. Faber and Jasper J. van Thor and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Angewandte Chemie International Edition.

In The Last Decade

Torsten H. Geerlings

8 papers receiving 438 citations

Author Peers

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

Author Last Decade Papers Cites
Torsten H. Geerlings 418 74 23 19 19 8 444
Nelli F. Khabibullina 321 0.8× 42 0.6× 39 1.7× 31 1.6× 26 1.4× 13 386
Denis Oliver 303 0.7× 46 0.6× 10 0.4× 19 1.0× 27 1.4× 8 369
H P Biemann 399 1.0× 74 1.0× 22 1.0× 33 1.7× 47 2.5× 7 488
Pavel Prosselkov 307 0.7× 144 1.9× 15 0.7× 30 1.6× 13 0.7× 12 371
Kathleen Sommer 286 0.7× 25 0.3× 16 0.7× 18 0.9× 27 1.4× 11 370
T. M. Shuvaeva 396 0.9× 57 0.8× 17 0.7× 39 2.1× 7 0.4× 13 487
Peter Stenlund 309 0.7× 33 0.4× 11 0.5× 15 0.8× 31 1.6× 9 412
Eric Koesema 344 0.8× 72 1.0× 15 0.7× 23 1.2× 31 1.6× 11 472
Szilvia Kiriakov 335 0.8× 60 0.8× 11 0.5× 15 0.8× 10 0.5× 9 410
Salvatore Cappadona 375 0.9× 32 0.4× 11 0.5× 11 0.6× 52 2.7× 10 490

Countries citing papers authored by Torsten H. Geerlings

Since Specialization
Citations

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

Fields of papers citing papers by Torsten H. Geerlings

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Torsten H. Geerlings. 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 Torsten H. Geerlings. The network helps show where Torsten H. Geerlings may publish in the future.

Co-authorship network of co-authors of Torsten H. Geerlings

This figure shows the co-authorship network connecting the top 25 collaborators of Torsten H. Geerlings. A scholar is included among the top collaborators of Torsten H. Geerlings 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 Torsten H. Geerlings. Torsten H. Geerlings 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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