Jordi Juárez‐Jiménez

1.3k citations
28 papers · 946 indexed · h-index 16
Topics
Computational Drug Discovery Methods (9 papers)Protein Structure and Dynamics (6 papers)Cholinesterase and Neurodegenerative Diseases (6 papers)
Partner nations
SpainUnited KingdomItaly

In The Last Decade

Jordi Juárez‐Jiménez

26 papers receiving 929 citations

Peers

Jordi Juárez‐Jiménez
Comparison fields: 5 of 97
  • Molecular Biology 420
  • Pharmacology 358
  • Computational Theory and Mathematics 351
  • Organic Chemistry 269
  • Physiology 152
Replace Elisabet Viayna with:
Elisabet Viayna Spain
Bruno Catalanotti Italy
Mariyana Atanasova Bulgaria
Jacques Joubert South Africa
Leticia Monjas Netherlands
Chandra Bhushan Mishra India
Sean A. Hudson United Kingdom
Bhupesh Goyal India
Farah Anjum Saudi Arabia
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Citations per field
00.5×2.5×
Elisabet Viayna · 1×
Citations per year

Countries citing papers authored by Jordi Juárez‐Jiménez

Since Specialization
Citations

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

Fields of papers citing papers by Jordi Juárez‐Jiménez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jordi Juárez‐Jiménez. 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 Jordi Juárez‐Jiménez. The network helps show where Jordi Juárez‐Jiménez may publish in the future.

Co-authorship network of co-authors of Jordi Juárez‐Jiménez

This figure shows the co-authorship network connecting the top 25 collaborators of Jordi Juárez‐Jiménez. A scholar is included among the top collaborators of Jordi Juárez‐Jiménez 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 Jordi Juárez‐Jiménez. Jordi Juárez‐Jiménez 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 0
3 2
4 4
5 2
6 15
7 11
8 7
9 19
10 17
11 1
12 23
13 27
14 20
15 51
16 37
17 52
18 129
19 39
20 15

About Jordi Juárez‐Jiménez

Jordi Juárez‐Jiménez is a scholar working on Computational Theory and Mathematics, Pharmacology and Molecular Biology, having authored 28 papers that have together received 946 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (9 papers), Protein Structure and Dynamics (6 papers) and Cholinesterase and Neurodegenerative Diseases (6 papers). The work is most often cited by research in Computational Theory and Mathematics (351 citations), Pharmacology (358 citations) and Organic Chemistry (269 citations). Jordi Juárez‐Jiménez has collaborated with scholars based in Spain, United Kingdom and Italy. Frequent co-authors include F. Javier Luque, Julien Michel, R. Pouplana, Antonija Kuzmanic, Gregory R. Bowman, Francesco Luigi Gervasio, Mercedes Unzeta, José Marco‐Contelles, Diego Muñoz‐Torrero and Cristóbal de los Rı́os. Their work appears in journals such as Journal of the American Chemical Society, Accounts of Chemical Research and PLoS ONE.

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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