Manuel Sellner

559 total citations
9 papers, 322 citations indexed

About

Manuel Sellner is a scholar working on Computational Theory and Mathematics, Organic Chemistry and Pharmacology. According to data from OpenAlex, Manuel Sellner has authored 9 papers receiving a total of 322 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computational Theory and Mathematics, 3 papers in Organic Chemistry and 3 papers in Pharmacology. Recurrent topics in Manuel Sellner's work include Computational Drug Discovery Methods (7 papers), Synthesis and biological activity (2 papers) and Pharmacological Effects of Natural Compounds (2 papers). Manuel Sellner is often cited by papers focused on Computational Drug Discovery Methods (7 papers), Synthesis and biological activity (2 papers) and Pharmacological Effects of Natural Compounds (2 papers). Manuel Sellner collaborates with scholars based in Switzerland, Poland and United States. Manuel Sellner's co-authors include Martin Smieško, André Fischer, Markus A. Lill, Artur Góra, Anton M. Jetten, Alex Odermatt, Amr H. Mahmoud, Jakob K. Reinhardt, Olivier Potterat and Veronika Butterweck and has published in prestigious journals such as PLoS ONE, International Journal of Molecular Sciences and Journal of Medicinal Chemistry.

In The Last Decade

Manuel Sellner

9 papers receiving 320 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Manuel Sellner Switzerland	5	165	159	71	65	33	9	322
Asma Abro Pakistan	11	117 0.7×	163 1.0×	54 0.8×	61 0.9×	31 0.9×	17	336
Kanipakam Hema India	13	131 0.8×	170 1.1×	77 1.1×	55 0.8×	29 0.9×	23	371
Abhijeet Kumar India	7	147 0.9×	100 0.6×	100 1.4×	91 1.4×	40 1.2×	23	376
Srikanth Jupudi India	11	108 0.7×	138 0.9×	38 0.5×	82 1.3×	37 1.1×	48	343
Umesh Panwar India	13	208 1.3×	216 1.4×	115 1.6×	65 1.0×	23 0.7×	20	408
T. Ngoc Han Pham Vietnam	5	164 1.0×	191 1.2×	37 0.5×	88 1.4×	48 1.5×	8	404
Vaibhav Kumar Pandya India	6	162 1.0×	106 0.7×	105 1.5×	58 0.9×	54 1.6×	8	340
Jennifer Loschwitz Germany	8	89 0.5×	154 1.0×	38 0.5×	41 0.6×	24 0.7×	12	285
Daniel Korn United States	8	200 1.2×	161 1.0×	68 1.0×	50 0.8×	19 0.6×	26	370
Karina B. Santos Brazil	3	120 0.7×	153 1.0×	39 0.5×	45 0.7×	26 0.8×	7	297

Countries citing papers authored by Manuel Sellner

Since Specialization

Citations

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

Fields of papers citing papers by Manuel Sellner

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manuel Sellner

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

All Works

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9 of 9 papers shown

Reinhardt, Jakob K., Manuel Sellner, Martin Smieško, et al.. (2024). Vitex agnus castus Extract Ze 440: Diterpene and Triterpene’s Interactions with Dopamine D2 Receptor. International Journal of Molecular Sciences. 25(21). 11456–11456. 1 indexed citations

Sellner, Manuel, Amr H. Mahmoud, & Markus A. Lill. (2023). Efficient virtual high-content screening using a distance-aware transformer model. Journal of Cheminformatics. 15(1). 18–18. 3 indexed citations

Sellner, Manuel, et al.. (2022). Activation of retinoic acid-related orphan receptor γ(t) by parabens and benzophenone UV-filters. Toxicology. 471. 153159–153159. 9 indexed citations

Fischer, André, et al.. (2022). Evaluation of Xa inhibitors as potential inhibitors of the SARS-CoV-2 Mpro protease. PLoS ONE. 17(1). e0262482–e0262482. 7 indexed citations

Fischer, André, et al.. (2022). Ligand pathways in estrogen-related receptors. Journal of Biomolecular Structure and Dynamics. 41(5). 1639–1648. 3 indexed citations

Fischer, André, Manuel Sellner, Karolina Mitusińska, et al.. (2021). Computational Selectivity Assessment of Protease Inhibitors against SARS-CoV-2. International Journal of Molecular Sciences. 22(4). 2065–2065. 3 indexed citations

Fischer, André, Martin Smieško, Manuel Sellner, & Markus A. Lill. (2021). Decision Making in Structure-Based Drug Discovery: Visual Inspection of Docking Results. Journal of Medicinal Chemistry. 64(5). 2489–2500. 153 indexed citations

Sellner, Manuel, et al.. (2021). Conformational Landscape of Cytochrome P450 Reductase Interactions. International Journal of Molecular Sciences. 22(3). 1023–1023. 20 indexed citations

Fischer, André, et al.. (2020). Potential Inhibitors for Novel Coronavirus Protease Identified by Virtual Screening of 606 Million Compounds. International Journal of Molecular Sciences. 21(10). 3626–3626. 123 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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