Juan Pablo Arcon

721 citations
15 papers · 407 indexed · h-index 10
Topics
Protein Structure and Dynamics (7 papers)Computational Drug Discovery Methods (7 papers)Enzyme Structure and Function (4 papers)

In The Last Decade

Juan Pablo Arcon

15 papers receiving 403 citations

Peers

Juan Pablo Arcon
Comparison fields: 5 of 81
  • Molecular Biology 329
  • Computational Theory and Mathematics 106
  • Materials Chemistry 52
  • Organic Chemistry 39
  • Spectroscopy 28
Replace Kuan Pern Tan with:
Kuan Pern Tan Singapore
Joerg Bomke Germany
Stefan Gahbauer United States
Jukka V. Lehtonen Finland
Thomas Evangelidis Greece
Rick Oerlemans Netherlands
Jonathan C. Fuller Germany
Zeynep Kurkcuoglu Türkiye
Alexander S. Bayden United States
Brendan C. Maguire United States
Juan Pablo Arcon relative to Kuan Pern Tan Singapore Kuan Pern Tan's profile →
Citations per field
00.5×2.8×
Kuan Pern Tan · 1×
Citations per year

Countries citing papers authored by Juan Pablo Arcon

Since Specialization
Citations

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

Fields of papers citing papers by Juan Pablo Arcon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Juan Pablo Arcon. 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 Juan Pablo Arcon. The network helps show where Juan Pablo Arcon may publish in the future.

Co-authorship network of co-authors of Juan Pablo Arcon

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

All Works

15 of 15 papers shown
#WorkIndexed citations
1 4
2 5
3 5
4 7
5 18
6 28
7 9
8 84
9 13
10 19
11 45
12 27
13 69
14 53
15 21

About Juan Pablo Arcon

Juan Pablo Arcon is a scholar working on Computational Theory and Mathematics, Biophysics and Molecular Biology, having authored 15 papers that have together received 407 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (7 papers), Computational Drug Discovery Methods (7 papers) and Enzyme Structure and Function (4 papers). The work is most often cited by research in Computational Theory and Mathematics (106 citations), Molecular Biology (329 citations) and Toxicology (6 citations). Juan Pablo Arcon has collaborated with scholars based in Argentina, Spain and United States. Frequent co-authors include Marcelo A. Martí, Adrián G. Turjanski, Carlos P. Modenutti, Lucas A. Defelipe, Xavier Barril, Modesto Orozco, Daniel Álvarez-García, Isabelle Brun‐Heath, Diana Buitrago and Julie Blanc. Their work appears in journals such as Nucleic Acids Research, Nature Communications and Bioinformatics.

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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