Antti Poso

220 papers receiving 5.5k citations

Antti Poso's Hit Papers

Binding Affinity via Docking: Fact and Fiction 2018 · 453 citations
4530+2+5Years since publication100200300400

Peers

Antti Poso
Comparison fields: 5 of 149
  • Geriatrics and Gerontology 408
  • Computational Theory and Mathematics 1.3k
  • Pharmacology 525
  • Pharmacology 916
  • Toxicology 179
Replace Hai‐Bin Luo with:
Hai‐Bin Luo China
Wolfgang Sippl Germany
Jia Zhou United States
Virapong Prachayasittikul Thailand
Peter Kubatka Slovakia
Guang Liang China
Daniela Schuster Austria
Liangren Zhang China
Eugenio Uriarte Spain
Yong Sup Lee South Korea
Antti Poso relative to Hai‐Bin Luo China Hai‐Bin Luo's profile →
Citations per field
00.5×1.5×2.1×
Hai‐Bin Luo · 1×
Citations per year

Countries citing papers authored by Antti Poso

Since Specialization
Citations

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

Fields of papers citing papers by Antti Poso

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Antti Poso, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Antti Poso Line = papers co-authored together Antti Poso links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 227 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Binding Affinity via Docking: Fact and Fiction
Hit paper breakdown →
2018453
2 2016197
3 2020179
4 2005138
5 200491
6 201385
7 201484
8 201281
9 202071
10 202170
11 200866
12 201861
13 200459
14 200758
15 200958
16 199657
17 201357
18 201454
19 200654
20 200854

About Antti Poso

Antti Poso is a scholar working on Molecular Biology, Computational Theory and Mathematics, Oncology, Pharmacology and Organic Chemistry, having authored 227 papers that have together received 5.7k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (47 papers), Receptor Mechanisms and Signaling (23 papers), Pharmacogenetics and Drug Metabolism (22 papers), Cannabis and Cannabinoid Research (22 papers), Protein Structure and Dynamics (19 papers), Drug Transport and Resistance Mechanisms (18 papers), Analytical Chemistry and Chromatography (16 papers) and Sirtuins and Resveratrol in Medicine (15 papers). The work is most often cited by research in Geriatrics and Gerontology (408 citations), Computational Theory and Mathematics (1.3k citations), Pharmacology (525 citations), Pharmacology (916 citations) and Toxicology (179 citations). Antti Poso has collaborated with scholars based in Finland, Germany and United States. Frequent co-authors include Tatu Pantsar, Jukka Gynther, Tuomo Laitinen, Maija Lahtela‐Kakkonen, Tapio Nevalainen, Tomi Järvinen, Jarmo T. Laitinen, Risto O. Juvonen, Outi M. H. Salo‐Ahen and Susanna M. Saario. Their work appears in journals such as Journal of Medicinal Chemistry, ChemMedChem, Journal of Chemical Information and Modeling, European Journal of Pharmaceutical Sciences and Bioorganic & Medicinal Chemistry.

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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