Thiago G. Lima

518 citations
14 papers · 338 · h-index 9

Impact in

  • Genetics top 10%
    • Genetic diversity and population structure
    • Evolution and Genetic Dynamics

Papers in

    • Genetic diversity and population structure 6
    • Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities 3
    • Evolution and Genetic Dynamics 3
    • Physiological and biochemical adaptations 3

Thiago G. Lima

13 papers receiving 335 citations

Peers

Thiago G. Lima
Comparison fields: 5 of 46
  • Genetics 162
  • Aging 10
  • Aquatic Science 34
  • Ecology 112
  • Oceanography 46
Replace Rachel Massicotte with:
Rachel Massicotte Canada
Shengyong Xu China
M. S. Johnson Australia
Madeleine Carruthers United Kingdom
Clare J. Venney Canada
Ann Kathrin Huylmans Germany
Áki J. Láruson United States
Susanne Paland United States
Shotaro Hirase Japan
Alan Le Moan France
Thiago G. Lima relative to Rachel Massicotte Canada Rachel Massicotte's profile →
Citations per field
00.5×4.2×
Rachel Massicotte · 1×
Citations per year

Countries citing papers authored by Thiago G. Lima

Since Specialization
Citations

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

Fields of papers citing papers by Thiago G. Lima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thiago G. Lima. 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 Thiago G. Lima. The network helps show where Thiago G. Lima may publish in the future.

Co-authors

The 18 scholars most cited alongside Thiago G. Lima, 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 Thiago G. Lima Line = papers co-authored together Thiago G. Lima links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 2018144
2 201443
3 201336
4 201930
5 202119
6 201716
7 202215
8 201312
9 201810
10 20225
11 20165
12 19842
13 20231
14 20200

About Thiago G. Lima

Thiago G. Lima is a scholar working on Genetics, Ecology, Molecular Biology, Oceanography and Global and Planetary Change, having authored 14 papers that have together received 338 indexed citations. Recurring topics across this work include Genetic diversity and population structure (6 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (3 papers), Evolution and Genetic Dynamics (3 papers), Physiological and biochemical adaptations (3 papers), Chromosomal and Genetic Variations (2 papers), Fish Ecology and Management Studies (2 papers), Genomics and Phylogenetic Studies (2 papers) and Marine and coastal plant biology (2 papers). The work is most often cited by research in Genetics (162 citations), Aging (10 citations), Aquatic Science (34 citations), Ecology (112 citations) and Oceanography (46 citations). Thiago G. Lima has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Christopher S. Willett, Ronald S. Burton, Eric T. Watson, Weizhong Li, Felipe S. Barreto, Suzanne Edmands, Michael A. McCartney, Michael L. Burton, Lin Chao and Ricardo J. Pereira. Their work appears in journals such as Ecology and Evolution, Nature Communications, Molecular Biology and Evolution, G3 Genes Genomes Genetics and Journal of Biogeography.

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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