Atanas Patronov

2.1k citations
26 papers · 1.2k indexed · 1 hit paper · h-index 15
Topics
Computational Drug Discovery Methods (14 papers)Machine Learning in Materials Science (7 papers)Protein Structure and Dynamics (6 papers)

In The Last Decade

Atanas Patronov

25 papers receiving 1.2k citations

Hit Papers

REINVENT 2.0: An AI Tool for De Novo Drug Design2020202620222024202050100150200250

Peers

Atanas Patronov
Comparison fields: 5 of 104
  • Molecular Biology 811
  • Computational Theory and Mathematics 582
  • Materials Chemistry 386
  • Immunology 180
  • Radiology, Nuclear Medicine and Imaging 167
Replace Brian Jiménez‐García with:
Brian Jiménez‐García Spain
Gaoqi Weng China
Li C. Xue Netherlands
Robin Pearce United States
Domenico Cozzetto United Kingdom
Panagiotis I. Koukos Netherlands
Huanyu Tao China
Minkyung Baek United States
Mohammed AlQuraishi United States
Debswapna Bhattacharya United States
Atanas Patronov relative to Brian Jiménez‐García Spain Brian Jiménez‐García's profile →
Citations per field
00.5×1.5×
Brian Jiménez‐García · 1×
Citations per year

Countries citing papers authored by Atanas Patronov

Since Specialization
Citations

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

Fields of papers citing papers by Atanas Patronov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Atanas Patronov

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 7
3 48
4 41
5 5
6 14
7 1
8 47
9 17
10 39
11 18
12 48
13 131
14 2
15 42
16 13
17 8
18 45
19 299
20 17

About Atanas Patronov

Atanas Patronov is a scholar working on Computational Theory and Mathematics, Microbiology and Molecular Biology, having authored 26 papers that have together received 1.2k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (14 papers), Machine Learning in Materials Science (7 papers) and Protein Structure and Dynamics (6 papers). The work is most often cited by research in Computational Theory and Mathematics (582 citations), Molecular Biology (811 citations) and Immunology (180 citations). Atanas Patronov has collaborated with scholars based in Sweden, United Kingdom and Germany. Frequent co-authors include Irini Doytchinova, Ola Engkvist, Kostas Papadopoulos, Christian Tyrchan, Josep Arús‐Pous, Hongming Chen, Christian Margreitter, Esben Jannik Bjerrum, Thomas Blaschke and Darren R. Flower. Their work appears in journals such as Nucleic Acids Research, Bioinformatics and Scientific Reports.

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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