Tirso Pons

17.7k citations
68 papers · 1.8k · h-index 21

Impact in

Papers in

    • Glycosylation and Glycoproteins Research 5
    • Bioinformatics and Genomic Networks 5
    • Genomics and Phylogenetic Studies 4
    • Enzyme Production and Characterization 14

Tirso Pons

64 papers receiving 1.7k citations

Peers

Tirso Pons
Comparison fields: 5 of 118
  • Biotechnology 441
  • Nutrition and Dietetics 354
  • Molecular Biology 975
  • Cancer Research 159
  • Pathology and Forensic Medicine 159
Replace Eva Žerovnik with:
Eva Žerovnik Slovenia
Barbara Spolaore Italy
Maikun Teng China
William Burkhart United States
Vivian de los Rı́os Spain
Krzysztof Pawłowski Poland
Hiroko Toda Japan
Rao S. Koduri United States
Liwen Niu China
Pradman K. Qasba United States
Tirso Pons relative to Eva Žerovnik Slovenia Eva Žerovnik's profile →
Citations per field
00.5×3.7×
Eva Žerovnik · 1×
Citations per year

Countries citing papers authored by Tirso Pons

Since Specialization
Citations

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

Fields of papers citing papers by Tirso Pons

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Tirso Pons, 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 Tirso Pons Line = papers co-authored together Tirso Pons links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998285
2 2015175
3 2005129
4 200999
5 200391
6 201377
7 200360
8 199858
9 201753
10 201350
11 199948
12 201642
13 200035
14 199635
15 199632
16 201527
17 200726
18 201823
19 201323
20 202222

About Tirso Pons

Tirso Pons is a scholar working on Molecular Biology, Biotechnology, Plant Science, Cancer Research and Cellular and Molecular Neuroscience, having authored 68 papers that have together received 1.8k indexed citations. Recurring topics across this work include Enzyme Production and Characterization (14 papers), Cancer Genomics and Diagnostics (6 papers), Microbial Metabolites in Food Biotechnology (6 papers), Genetic factors in colorectal cancer (5 papers), Glycosylation and Glycoproteins Research (5 papers), Bioinformatics and Genomic Networks (5 papers), Invertebrate Immune Response Mechanisms (4 papers) and Genomics and Phylogenetic Studies (4 papers). The work is most often cited by research in Biotechnology (441 citations), Nutrition and Dietetics (354 citations), Molecular Biology (975 citations), Cancer Research (159 citations) and Pathology and Forensic Medicine (159 citations). Tirso Pons has collaborated with scholars based in Spain, Cuba and Brazil. Frequent co-authors include Glay Chinea, Alfonso Valencia, Gert Vriend, Nicolás López, Rolando Rodríguez, Lázaro Hernández, C. Martinez-Fleites, Aurora Pérez‐Gramatges, D. G. Naumoff and Juan G. Arrieta. Their work appears in journals such as Proteins Structure Function and Bioinformatics, Yeast, Journal of Structural Biology, Bioinformatics and Colloids and Surfaces B Biointerfaces.

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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