Jorge Zamora

14.8k citations
31 papers · 1.6k indexed · 1 hit paper · h-index 14
Topics
T-cell and B-cell Immunology (12 papers)Immune Cell Function and Interaction (4 papers)Genomics and Phylogenetic Studies (4 papers)

In The Last Decade

Jorge Zamora

30 papers receiving 1.6k citations

Hit Papers

Ensembl BioMarts: a hub for data retrieval across taxonom...20112026201620212011250500750

Peers

Jorge Zamora
Comparison fields: 5 of 120
  • Molecular Biology 738
  • Genetics 479
  • Immunology 326
  • Plant Science 185
  • Cancer Research 160
Replace Federica Di Palma with:
Federica Di Palma United Kingdom
Naoki Osada Japan
Nobuhiko Takamatsu Japan
Chiaki Katagiri Japan
Giulietta Spudich United States
Stephen J. Bush United Kingdom
Dariusz Przybylski United States
Ferrán Casals Spain
Mark Band United States
John H. Malone United States
Jorge Zamora relative to Federica Di Palma United Kingdom Federica Di Palma's profile →
Citations per field
00.5×1.6×
Federica Di Palma · 1×
Citations per year

Countries citing papers authored by Jorge Zamora

Since Specialization
Citations

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

Fields of papers citing papers by Jorge Zamora

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jorge Zamora

This figure shows the co-authorship network connecting the top 25 collaborators of Jorge Zamora. A scholar is included among the top collaborators of Jorge Zamora 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 Jorge Zamora. Jorge Zamora 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 5
2 10
3 22
4 14
5
Ensembl BioMarts: a hub for data retrieval across taxonomic spacebreakdown →
970
6 8
7 13
8 55
9 46
10 9
11 9
12 7
13 43
14 1
15 1
16 50
17 42
18 47
19 42
20 119

About Jorge Zamora

Jorge Zamora is a scholar working on Immunology, Insect Science and Genetics, having authored 31 papers that have together received 1.6k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (12 papers), Immune Cell Function and Interaction (4 papers) and Genomics and Phylogenetic Studies (4 papers). The work is most often cited by research in Genetics (479 citations), Immunology (326 citations) and Molecular Biology (738 citations). Jorge Zamora has collaborated with scholars based in Spain, United States and United Kingdom. Frequent co-authors include Giulietta Spudich, J. P. Almeida, Glenn Proctor, Arnaud Kerhornou, Paul Kersey, Andreas Kähäri, Syed Haider, Paul Flicek, D. Staines and Roger L. Miesfeld. Their work appears in journals such as Journal of Lipid Research, Cellular and Molecular Life Sciences and Frontiers in Plant Science.

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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