Erika Tamm

15 total papers · 1.5k total citations
6 papers, 54 citations indexed

About

Erika Tamm is a scholar working on Genetics, Archeology and Molecular Biology. According to data from OpenAlex, Erika Tamm has authored 6 papers receiving a total of 54 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Genetics, 3 papers in Archeology and 2 papers in Molecular Biology. Recurrent topics in Erika Tamm's work include Forensic and Genetic Research (6 papers), Forensic Anthropology and Bioarchaeology Studies (3 papers) and Molecular Biology Techniques and Applications (2 papers). Erika Tamm is often cited by papers focused on Forensic and Genetic Research (6 papers), Forensic Anthropology and Bioarchaeology Studies (3 papers) and Molecular Biology Techniques and Applications (2 papers). Erika Tamm collaborates with scholars based in Estonia, Spain and United Kingdom. Erika Tamm's co-authors include Ene Metspalu, Katrin Sak, Rita Teek, Toomas Kivisild, Priit Palta, Kaarel Krjutškov, Tiit Nikopensius, Andres Metspalu, Helena Sork and Davide Pettener and has published in prestigious journals such as PLoS ONE, Scientific Reports and European Journal of Human Genetics.

In The Last Decade

Erika Tamm

6 papers receiving 53 citations

Author Peers

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

Author Last Decade Papers Cites
Erika Tamm 34 26 15 8 6 6 54
Z. Tu 33 1.0× 26 1.0× 26 1.7× 8 1.0× 5 0.8× 4 63
Jae Joseph Russell B. Rodriguez 44 1.3× 39 1.5× 10 0.7× 9 1.1× 3 0.5× 8 77
Bárbara Sousa da Mota 75 2.2× 34 1.3× 15 1.0× 10 1.3× 10 1.7× 8 94
Lilian P. Villamor 47 1.4× 19 0.7× 20 1.3× 2 0.3× 6 1.0× 5 72
Stanislav Dryomov 57 1.7× 19 0.7× 22 1.5× 2 0.3× 14 2.3× 5 75
Richard Chuang 27 0.8× 11 0.4× 12 0.8× 16 2.0× 16 2.7× 6 62
Aphrodite Loutradis 70 2.1× 22 0.8× 21 1.4× 3 0.4× 6 1.0× 6 93
Cody Parker 54 1.6× 21 0.8× 40 2.7× 5 0.6× 16 2.7× 4 62
Jérémy Choin 27 0.8× 5 0.2× 7 0.5× 4 0.5× 10 1.7× 4 54
Stéphanie Schiavinato 21 0.6× 8 0.3× 9 0.6× 14 1.8× 9 1.5× 8 35

Countries citing papers authored by Erika Tamm

Since Specialization
Citations

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

Fields of papers citing papers by Erika Tamm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Erika Tamm

This figure shows the co-authorship network connecting the top 25 collaborators of Erika Tamm. A scholar is included among the top collaborators of Erika Tamm 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 Erika Tamm. Erika Tamm 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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