Carsten Wittekindt

20 total papers · 579 total citations
16 papers, 508 citations indexed

About

Carsten Wittekindt is a scholar working on Computational Theory and Mathematics, Pharmacology and Organic Chemistry. According to data from OpenAlex, Carsten Wittekindt has authored 16 papers receiving a total of 508 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computational Theory and Mathematics, 6 papers in Pharmacology and 5 papers in Organic Chemistry. Recurrent topics in Carsten Wittekindt's work include Computational Drug Discovery Methods (7 papers), Pharmacogenetics and Drug Metabolism (6 papers) and Analytical Chemistry and Chromatography (4 papers). Carsten Wittekindt is often cited by papers focused on Computational Drug Discovery Methods (7 papers), Pharmacogenetics and Drug Metabolism (6 papers) and Analytical Chemistry and Chromatography (4 papers). Carsten Wittekindt collaborates with scholars based in Finland and Germany. Carsten Wittekindt's co-authors include Dominik Marx, Antti Poso, Risto O. Juvonen, Hannu Raunio, Daniel Muñoz‐Santiburcio, Maija Lahtela‐Kakkonen, Antero Salminen, Andreas Klamt, Eduard Schreiner and Nisanth N. Nair and has published in prestigious journals such as Journal of the American Chemical Society, Nature Communications and The Journal of Chemical Physics.

In The Last Decade

Carsten Wittekindt

16 papers receiving 493 citations

Author Peers

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

Author Last Decade Papers Cites
Carsten Wittekindt 128 128 115 98 83 16 508
Nicola J. Richmond 253 2.0× 34 0.3× 283 2.5× 93 0.9× 23 0.3× 12 499
Joseph J. Nunes 118 0.9× 14 0.1× 25 0.2× 384 3.9× 97 1.2× 8 605
Hilmar Schiller 299 2.3× 112 0.9× 33 0.3× 18 0.2× 6 0.1× 34 542
Pierre Pério 222 1.7× 26 0.2× 25 0.2× 83 0.8× 35 0.4× 29 480
Narayanan Surendran 146 1.1× 83 0.6× 82 0.7× 54 0.6× 4 0.0× 22 459
Edward B. Roche 164 1.3× 96 0.8× 17 0.1× 193 2.0× 13 0.2× 33 542
Abhay T. Sangamwar 166 1.3× 44 0.3× 44 0.4× 119 1.2× 2 0.0× 28 553
Xiya Lu 241 1.9× 58 0.5× 19 0.2× 17 0.2× 5 0.1× 21 508
Pranas Japertas 218 1.7× 97 0.8× 288 2.5× 79 0.8× 3 0.0× 18 588
Luke F. Gamon 218 1.7× 22 0.2× 8 0.1× 83 0.8× 8 0.1× 35 557

Countries citing papers authored by Carsten Wittekindt

Since Specialization
Citations

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

Fields of papers citing papers by Carsten Wittekindt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Carsten Wittekindt. 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 Carsten Wittekindt. The network helps show where Carsten Wittekindt may publish in the future.

Co-authorship network of co-authors of Carsten Wittekindt

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