Thomas Seidel

1.5k total citations · 1 hit paper
53 papers, 1.0k citations indexed

About

Thomas Seidel is a scholar working on Molecular Biology, Computational Theory and Mathematics and Materials Chemistry. According to data from OpenAlex, Thomas Seidel has authored 53 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 30 papers in Computational Theory and Mathematics and 10 papers in Materials Chemistry. Recurrent topics in Thomas Seidel's work include Computational Drug Discovery Methods (30 papers), Protein Structure and Dynamics (10 papers) and Chemical Synthesis and Analysis (8 papers). Thomas Seidel is often cited by papers focused on Computational Drug Discovery Methods (30 papers), Protein Structure and Dynamics (10 papers) and Chemical Synthesis and Analysis (8 papers). Thomas Seidel collaborates with scholars based in Austria, Italy and Germany. Thomas Seidel's co-authors include Thierry Langer, Arthur Garon, Oliver Wieder, Stefan M. Kohlbacher, Mélaine A. Kuenemann, Marcus Wieder, Gerhard Wolber, Ugo Perricone, Giulio Poli and Doris A. Schuetz and has published in prestigious journals such as Biochemical and Biophysical Research Communications, International Journal of Molecular Sciences and Journal of Medicinal Chemistry.

In The Last Decade

Thomas Seidel

49 papers receiving 983 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A compact review of molecular property prediction with graph neural networks

2020 318 citations Oliver Wieder, Stefan M. Kohlbacher et al. Drug Discovery Today Technologies profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Thomas Seidel Austria	15	563	513	260	118	75	53	1.0k
Anastasiia Sadybekov United States	8	445 0.8×	639 1.2×	174 0.7×	128 1.1×	97 1.3×	16	1.1k
Mélaine A. Kuenemann France	14	518 0.9×	544 1.1×	270 1.0×	106 0.9×	91 1.2×	23	994
Jocelyn Sunseri United States	7	629 1.1×	637 1.2×	240 0.9×	130 1.1×	87 1.2×	8	996
Ana C. Puhl United States	16	378 0.7×	494 1.0×	165 0.6×	72 0.6×	88 1.2×	48	1.0k
Konda Mani Saravanan India	19	318 0.6×	648 1.3×	120 0.5×	105 0.9×	45 0.6×	95	1.1k
Guixia Liu China	17	765 1.4×	773 1.5×	121 0.5×	73 0.6×	93 1.2×	22	1.2k
Daniel Probst Switzerland	22	791 1.4×	815 1.6×	499 1.9×	114 1.0×	158 2.1×	56	1.8k
Christian Lemmen Germany	16	904 1.6×	806 1.6×	247 0.9×	182 1.5×	180 2.4×	32	1.3k
Florian Nigsch Switzerland	21	582 1.0×	725 1.4×	220 0.8×	152 1.3×	119 1.6×	36	1.4k

Countries citing papers authored by Thomas Seidel

Since Specialization

Citations

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

Fields of papers citing papers by Thomas Seidel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Seidel

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Seidel. A scholar is included among the top collaborators of Thomas Seidel 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 Thomas Seidel. Thomas Seidel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Seidel, Thomas, et al.. (2025). GRADE and X-GRADE: Unveiling Novel Protein–Ligand Interaction Fingerprints Based on GRAIL Scores. Journal of Chemical Information and Modeling. 65(5). 2456–2475.

Ernst, Margot, et al.. (2024). Probes for the heterogeneity of muscimol binding sites in rat brain. Frontiers in Pharmacology. 15. 1368527–1368527. 1 indexed citations

Chen, Ya, Thomas Seidel, Angelica Mazzolari, et al.. (2024). Active Learning Approach for Guiding Site-of-Metabolism Measurement and Annotation. Journal of Chemical Information and Modeling. 64(2). 348–358. 5 indexed citations

Vogel, Florian, Christos Andronis, Thomas Seidel, et al.. (2023). GABAA receptor-mediated seizure liabilities: a mixed-methods screening approach. Cell Biology and Toxicology. 39(6). 2793–2819. 3 indexed citations

Kohlbacher, Stefan M., et al.. (2023). A new set of KNIME nodes implementing the QPhAR algorithm. Molecular Informatics. 42(5). e2200245–e2200245.

Vogel, Florian, et al.. (2023). Navigating the complex landscape of benzodiazepine- and Z-drug diversity: insights from comprehensive FDA adverse event reporting system analysis and beyond. Frontiers in Psychiatry. 14. 1188101–1188101. 1 indexed citations

Vogel, Florian, Thomas Seidel, Petra Scholze, et al.. (2022). Tricyclic antipsychotics and antidepressants can inhibit α5‐containing GABA_A receptors by two distinct mechanisms. British Journal of Pharmacology. 179(14). 3675–3692. 9 indexed citations

Ernst, Margot, Thomas Seidel, Serena Monticelli, et al.. (2022). Novel alpha6 preferring GABA-A receptor ligands based on loreclezole. European Journal of Medicinal Chemistry. 244. 114780–114780. 4 indexed citations

Vogel, Florian, et al.. (2022). Molecular Mingling: Multimodal Predictions of Ligand Promiscuity in Pentameric Ligand-Gated Ion Channels. Frontiers in Molecular Biosciences. 9. 860246–860246. 10 indexed citations

10.

Vittorio, Serena, Thomas Seidel, Arthur Garon, et al.. (2021). In Silico Identification of Potential Druggable Binding Sites on CIN85 SH3 Domain. International Journal of Molecular Sciences. 22(2). 534–534. 4 indexed citations

11.

Kohlbacher, Stefan M., Thierry Langer, & Thomas Seidel. (2021). QPHAR: quantitative pharmacophore activity relationship: method and validation. Journal of Cheminformatics. 13(1). 57–57. 14 indexed citations

12.

Wieder, Oliver, Stefan M. Kohlbacher, Mélaine A. Kuenemann, et al.. (2020). A compact review of molecular property prediction with graph neural networks. Drug Discovery Today Technologies. 37. 1–12. 318 indexed citations breakdown →

13.

Wieder, Oliver, et al.. (2020). A Computational Approach to Identify Potential Novel Inhibitors against the Coronavirus SARS‐CoV‐2. Molecular Informatics. 39(10). e2000090–e2000090. 24 indexed citations

14.

Seidel, Thomas, Doris A. Schuetz, Arthur Garon, & Thierry Langer. (2019). The Pharmacophore Concept and Its Applications in Computer-Aided Drug Design. Fortschritte der Chemie Organischer Naturstoffe/Fortschritte der Chemie organischer Naturstoffe/Progress in the chemistry of organic natural products. 110. 99–141. 54 indexed citations

15.

Schuetz, Doris A., Thomas Seidel, Arthur Garon, et al.. (2018). GRAIL: GRids of phArmacophore Interaction fieLds. Journal of Chemical Theory and Computation. 14(9). 4958–4970. 14 indexed citations

16.

Perricone, Ugo, Marcus Wieder, Thomas Seidel, Thierry Langer, & Alessandro Padova. (2018). The Use of Dynamic Pharmacophore in Computer-Aided Hit Discovery: A Case Study. Methods in molecular biology. 1824. 317–333. 1 indexed citations

17.

Poli, Giulio, Thomas Seidel, & Thierry Langer. (2018). Conformational Sampling of Small Molecules With iCon: Performance Assessment in Comparison With OMEGA. Frontiers in Chemistry. 6. 229–229. 46 indexed citations

18.

Wieder, Marcus, Ugo Perricone, Thomas Seidel, Stefan Boresch, & Thierry Langer. (2016). Comparing pharmacophore models derived from crystal structures and from molecular dynamics simulations. Monatshefte für Chemie - Chemical Monthly. 147(3). 553–563. 15 indexed citations

19.

Wieder, Marcus, Ugo Perricone, Stefan Boresch, Thomas Seidel, & Thierry Langer. (2016). Evaluating the stability of pharmacophore features using molecular dynamics simulations. Biochemical and Biophysical Research Communications. 470(3). 685–689. 21 indexed citations

20.

Zaliani, Andrea, Krisztina Boda, Thomas Seidel, et al.. (2009). Second-generation de novo design: a view from a medicinal chemist perspective. Journal of Computer-Aided Molecular Design. 23(8). 593–602. 19 indexed citations

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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