G. Theiler

490 citations
16 papers · 364 · h-index 11

Impact in

  • Paleontology top 10%
    • Evolution and Paleontology Studies
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • IL-33, ST2, and ILC Pathways
    • Reproductive System and Pregnancy

Papers in

    • Animal Ecology and Behavior Studies 6
    • Genetic diversity and population structure 5
    • Genetic Mapping and Diversity in Plants and Animals 4

G. Theiler

16 papers receiving 351 citations

Peers

G. Theiler
Comparison fields: 5 of 65
  • Paleontology 71
  • Immunology 111
  • Hepatology 25
  • Ecological Modeling 13
  • Ecology 66
Replace Wei Fu with:
Wei Fu China
Erica Lovas Australia
Benedikt M. Mortzfeld United States
Lei Wei China
Zhiyong Di China
Kristen S. Swithers United States
Cindy R. DeLoney‐Marino United States
Daniela Almeida Portugal
Andrey E. Vishnyakov Russia
G. Theiler relative to Wei Fu China Wei Fu's profile →
Citations per field
00.5×8.3×
Wei Fu · 1×
Citations per year

Countries citing papers authored by G. Theiler

Since Specialization
Citations

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

Fields of papers citing papers by G. Theiler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 200898
2 200752
3 200736
4 200832
5 199626
6 199623
7 199921
8 201617
9 200214
10 200911
11 200110
12
MICROMAMÍFEROS DE LA REGIÓN DE COMODORO RIVADAVIA (CHUBUT, ARGENTINA)
20077
13 20046
14 20015
15 20083
16 20143

About G. Theiler

G. Theiler is a scholar working on Ecology, Genetics, Immunology, Paleontology and Plant Science, having authored 16 papers that have together received 364 indexed citations. Recurring topics across this work include Animal Ecology and Behavior Studies (6 papers), Genetic diversity and population structure (5 papers), Genetic Mapping and Diversity in Plants and Animals (4 papers), Evolution and Paleontology Studies (4 papers), Immune Cell Function and Interaction (4 papers), T-cell and B-cell Immunology (3 papers), Reproductive System and Pregnancy (2 papers) and Chromosomal and Genetic Variations (2 papers). The work is most often cited by research in Paleontology (71 citations), Immunology (111 citations), Hepatology (25 citations), Ecological Modeling (13 citations) and Ecology (66 citations). G. Theiler has collaborated with scholars based in Argentina, Switzerland and United Kingdom. Frequent co-authors include Antonio Blanco, Dominique Koua, Christophe Dunand, Lorenzo Cerutti, Laurent Falquet, Christian J A Sigrist, Nicolas Hulo, Leonardo Fainboim, Natalia Paladino and Derek Middleton. Their work appears in journals such as Journal of Experimental Botany, Mammalian Biology, Journal of Zoological Systematics & Evolutionary Research, Journal of Mammalogy and Journal of Experimental Zoology.

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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