Leyden Fernández

8.3k citations
24 papers · 474 indexed · h-index 12
Topics
Protein Structure and Dynamics (9 papers)Machine Learning in Bioinformatics (8 papers)Computational Drug Discovery Methods (8 papers)
Partner nations
CubaChileJapan

In The Last Decade

Leyden Fernández

24 papers receiving 469 citations

Peers

Leyden Fernández
Comparison fields: 5 of 94
  • Molecular Biology 310
  • Computational Theory and Mathematics 141
  • Ecology 65
  • Organic Chemistry 54
  • Materials Chemistry 49
Replace Alexey K. Surin with:
Alexey K. Surin Russia
Joop de Knecht Netherlands
C. J. Krieger United States
Hannes Link Switzerland
René Holtackers Switzerland
Jayaram Kancherla United States
Linlin Zhao United States
Gustavo E. Vázquez Argentina
Yanrui Ding China
Leyden Fernández relative to Alexey K. Surin Russia Alexey K. Surin's profile →
Citations per field
00.5×5.4×
Alexey K. Surin · 1×
Citations per year

Countries citing papers authored by Leyden Fernández

Since Specialization
Citations

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

Fields of papers citing papers by Leyden Fernández

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leyden Fernández

This figure shows the co-authorship network connecting the top 25 collaborators of Leyden Fernández. A scholar is included among the top collaborators of Leyden Fernández 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 Leyden Fernández. Leyden Fernández 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 1
2 51
3 9
4
Oxidación de Glicerol en Fase Acuosa con Platino soportado en Oxido de Titanio
1
5 15
6 43
7 79
8 2
9 4
10 4
11 3
12 21
13 47
14 18
15 4
16 5
17 56
18 1
19 48
20 18

About Leyden Fernández

Leyden Fernández is a scholar working on Computational Theory and Mathematics, Biotechnology and Molecular Biology, having authored 24 papers that have together received 474 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (9 papers), Machine Learning in Bioinformatics (8 papers) and Computational Drug Discovery Methods (8 papers). The work is most often cited by research in Computational Theory and Mathematics (141 citations), Molecular Biology (310 citations) and Environmental Chemistry (27 citations). Leyden Fernández has collaborated with scholars based in Cuba, Chile and Japan. Frequent co-authors include Michael Fernández, Julio Caballero, José Ignacio Abreu, Akinori Sarai, Miguel Garriga, Sari Peura, Simona Collina, Stefan Bertilsson, Reynaldo Villalonga and María L. Villalonga. Their work appears in journals such as Limnology and Oceanography, Frontiers in Microbiology and Proteins Structure Function 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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