Jacob Almagro‐Garcia

3.6k citations
12 papers · 634 indexed · h-index 8

Jacob Almagro‐Garcia

11 papers receiving 626 citations

Peers

Jacob Almagro‐Garcia
Comparison fields: 5 of 79
  • Public Health, Environmental and Occupational Health 426
  • Parasitology 93
  • Computational Theory and Mathematics 146
  • Virology 25
  • Pharmacology 34
Replace Karen-Ann Gray with:
Karen-Ann Gray Australia
Albert Lalremruata Germany
Maja Malmberg Sweden
Michela Menegon Italy
Craig W. Duffy United Kingdom
Amanda Poe United States
Abdel‐Muhsin A. Abdel‐Muhsin United Kingdom
René Mollinedo United States
Patrick L Sutton United States
Ana Paula Arez Portugal
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Citations per field
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Citations per year

Countries citing papers authored by Jacob Almagro‐Garcia

Since Specialization
Citations

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

Fields of papers citing papers by Jacob Almagro‐Garcia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jacob Almagro‐Garcia. 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 Jacob Almagro‐Garcia. The network helps show where Jacob Almagro‐Garcia may publish in the future.

Co-authorship network

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

All Works

12 of 12 papers shown
#Work
1 20251
2 20240
3 201939
4 2018102
5 201830
6 201748
7 2017118
8 2016238
9 201646
10
Statistical Exploration of Landscapes of Phylogenetic Trees
20152
11
SnoopCGH: Software for visualizing comparative genomic hybridization data
20091
12 20099

About Jacob Almagro‐Garcia

Jacob Almagro‐Garcia is a scholar working on Public Health, Environmental and Occupational Health, Virology and Parasitology, having authored 12 papers that have together received 634 indexed citations. Recurring topics across this work include Malaria Research and Control (7 papers), Genomics and Phylogenetic Studies (4 papers), Mosquito-borne diseases and control (3 papers), Computational Drug Discovery Methods (2 papers), Evolution and Genetic Dynamics (2 papers), Chromosomal and Genetic Variations (2 papers), Genomic variations and chromosomal abnormalities (2 papers) and Research on Leishmaniasis Studies (2 papers). The work is most often cited by research in Public Health, Environmental and Occupational Health (426 citations), Parasitology (93 citations) and Computational Theory and Mathematics (146 citations). Jacob Almagro‐Garcia has collaborated with scholars based in United Kingdom, United States and Cambodia. Frequent co-authors include Michelle Kendall, Caroline Colijn, Thibaut Jombart, Richard D. Pearson, Dominic Kwiatkowski, Roberto Amato, Pharath Lim, Chanaki Amaratunga, Rick M. Fairhurst and Seila Suon. Their work appears in journals such as Bioinformatics, Scientific Reports and The Lancet Infectious Diseases.

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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