Urmas Saarma

6.1k citations
84 papers · 2.7k · h-index 33

Impact in

Papers in

    • Wildlife Ecology and Conservation 24
    • Parasite Biology and Host Interactions 15
    • Animal Ecology and Behavior Studies 6
    • Genetic diversity and population structure 29
    • Genetic and phenotypic traits in livestock 15

Urmas Saarma

81 papers receiving 2.6k citations

Peers

Urmas Saarma
Comparison fields: 5 of 89
  • Parasitology 741
  • Pathology and Forensic Medicine 1.1k
  • Ecology 1.3k
  • Ecological Modeling 171
  • Genetics 956
Replace Sandra Gloor with:
Sandra Gloor Switzerland
Voitto Haukisalmi Finland
Jean‐Pierre Quéré France
Robert L. Rausch United States
Harri Valdmann Estonia
Fabio Bontadina Switzerland
Pierre Delattre France
Pádraig J. Duignan United States
Marie‐Lazarine Poulle France
Vasyl V. Tkach United States
Urmas Saarma relative to Sandra Gloor Switzerland Sandra Gloor's profile →
Citations per field
00.5×3.8×
Sandra Gloor · 1×
Citations per year

Countries citing papers authored by Urmas Saarma

Since Specialization
Citations

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

Fields of papers citing papers by Urmas Saarma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 84 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008187
2 2009131
3 2011112
4 2010100
5 200898
6 201796
7 201788
8 200684
9 200676
10 201273
11 201470
12 201268
13 201864
14 201059
15 200958
16 201357
17 201549
18 202249
19 201848
20 201644

About Urmas Saarma

Urmas Saarma is a scholar working on Ecology, Genetics, Pathology and Forensic Medicine, Surgery and Parasitology, having authored 84 papers that have together received 2.7k indexed citations. Recurring topics across this work include Parasitic infections in humans and animals (30 papers), Genetic diversity and population structure (29 papers), Wildlife Ecology and Conservation (24 papers), Congenital Anomalies and Fetal Surgery (20 papers), Parasitic Infections and Diagnostics (17 papers), Genetic and phenotypic traits in livestock (15 papers), Parasite Biology and Host Interactions (15 papers) and Animal Ecology and Behavior Studies (6 papers). The work is most often cited by research in Parasitology (741 citations), Pathology and Forensic Medicine (1.1k citations), Ecology (1.3k citations), Ecological Modeling (171 citations) and Genetics (956 citations). Urmas Saarma has collaborated with scholars based in Estonia, Finland and Italy. Frequent co-authors include Harri Valdmann, Epp Moks, John Davison, Simon Y. W. Ho, Peep Männil, Leidi Laurimaa, Beth Shapiro, Ross Barnett, James Haile and Antti Lavikainen. Their work appears in journals such as PLoS ONE, Parasitology, Veterinary Parasitology, Conservation Genetics and Scientific Reports.

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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