Gabriel Pallares

14 total papers · 5.8k total citations
5 papers, 2.4k citations indexed

About

Gabriel Pallares is a scholar working on Molecular Biology, Hematology and Genetics. According to data from OpenAlex, Gabriel Pallares has authored 5 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 2 papers in Hematology and 1 paper in Genetics. Recurrent topics in Gabriel Pallares's work include Protein Degradation and Inhibitors (3 papers), Protein Kinase Regulation and GTPase Signaling (2 papers) and Computational Drug Discovery Methods (1 paper). Gabriel Pallares is often cited by papers focused on Protein Degradation and Inhibitors (3 papers), Protein Kinase Regulation and GTPase Signaling (2 papers) and Computational Drug Discovery Methods (1 paper). Gabriel Pallares collaborates with scholars based in United States and United Kingdom. Gabriel Pallares's co-authors include Patrick P. Zarrinkar, Daniel K. Treiber, Pietro Ciceri, Lisa Wodicka, Jeremy P. Hunt, Sanna Herrgård, Mindy I. Davis, Michael Höcker, Qi Chao and Kelly G. Sprankle and has published in prestigious journals such as Blood, Nature Biotechnology and Cancer Research.

In The Last Decade

Gabriel Pallares

5 papers receiving 2.3k citations

Hit Papers

Comprehensive analysis of... 2009 2026 2014 2020 2011 2009 500 1000 1.5k

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Gabriel Pallares 1.7k 689 631 433 327 5 2.4k
Jeremy P. Hunt 1.8k 1.1× 704 1.0× 781 1.2× 462 1.1× 390 1.2× 10 2.6k
Pietro Ciceri 2.1k 1.3× 681 1.0× 288 0.5× 388 0.9× 174 0.5× 14 2.8k
Daniel K. Treiber 2.6k 1.5× 701 1.0× 443 0.7× 561 1.3× 281 0.9× 24 3.3k
Sanna Herrgård 1.3k 0.8× 668 1.0× 141 0.2× 339 0.8× 140 0.4× 6 1.8k
Anthony M. Giannetti 1.4k 0.8× 313 0.5× 596 0.9× 349 0.8× 489 1.5× 35 2.5k
Janis Liebetanz 977 0.6× 94 0.1× 402 0.6× 391 0.9× 270 0.8× 11 1.6k
Robert L. Simmer 1.4k 0.8× 178 0.3× 282 0.4× 353 0.8× 91 0.3× 25 2.3k
Paul Nimmer 1.8k 1.1× 156 0.2× 344 0.5× 662 1.5× 273 0.8× 11 2.4k
Gabriele Fendrich 942 0.6× 152 0.2× 542 0.9× 215 0.5× 365 1.1× 30 1.7k
Kirubhagaran Ravichandran 735 0.4× 116 0.2× 541 0.9× 254 0.6× 117 0.4× 14 1.6k

Countries citing papers authored by Gabriel Pallares

Since Specialization
Citations

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

Fields of papers citing papers by Gabriel Pallares

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gabriel Pallares

This figure shows the co-authorship network connecting the top 25 collaborators of Gabriel Pallares. A scholar is included among the top collaborators of Gabriel Pallares 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 Gabriel Pallares. Gabriel Pallares is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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