Pablo Iribarren

11.3k total citations
53 papers, 2.3k citations indexed

About

Pablo Iribarren is a scholar working on Molecular Biology, Immunology and Neurology. According to data from OpenAlex, Pablo Iribarren has authored 53 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 23 papers in Immunology and 14 papers in Neurology. Recurrent topics in Pablo Iribarren's work include S100 Proteins and Annexins (15 papers), Neuroinflammation and Neurodegeneration Mechanisms (13 papers) and Immune Response and Inflammation (13 papers). Pablo Iribarren is often cited by papers focused on S100 Proteins and Annexins (15 papers), Neuroinflammation and Neurodegeneration Mechanisms (13 papers) and Immune Response and Inflammation (13 papers). Pablo Iribarren collaborates with scholars based in Argentina, United States and China. Pablo Iribarren's co-authors include Ji Ming Wang, Wanghua Gong, Yingying Le, Ye Zhou, Keqiang Chen, Daniela S. Arroyo, Nancy M. Dunlop, Jiming Wang, Jinyue Hu and Emilia A. Gaviglio and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Immunology and PLoS ONE.

In The Last Decade

Pablo Iribarren

53 papers receiving 2.3k citations

Peers

Pablo Iribarren
Comparison fields: 5 of 103
  • Molecular Biology 905
  • Immunology 881
  • Neurology 569
  • Physiology 451
  • Oncology 333
Replace Liora Cahalon with:
Liora Cahalon Israel
Julia Skokowa Germany
Julie K. Olson United States
David E. Szymkowski United States
Gijs Kooij Netherlands
Karin Battmer Germany
Matthias Klein Germany
Yoshio Bandô Japan
Margriet J. Vervoordeldonk Netherlands
Shohreh Issazadeh‐Navikas Denmark
Liora Cahalon Israel View profile →
Citations per field, relative to Pablo Iribarren
Pablo Iribarren · 1×
Citations per year, relative to Pablo Iribarren
Pablo Iribarren · 1×

Countries citing papers authored by Pablo Iribarren

Since Specialization
Citations

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

Fields of papers citing papers by Pablo Iribarren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pablo Iribarren

This figure shows the co-authorship network connecting the top 25 collaborators of Pablo Iribarren. A scholar is included among the top collaborators of Pablo Iribarren 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 Pablo Iribarren. Pablo Iribarren 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
# Work Indexed citations
1 6
2 44
3 50
4 11
5 99
6 95
7 25
8 33
9 276
10 20
11 108
12 31
13 191
14 89
15 47
16 90
17 25
18 4
19 17
20 27

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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