Tamara V. Tsoi

25 total papers · 1.5k total citations
21 papers, 830 citations indexed

About

Tamara V. Tsoi is a scholar working on Pollution, Molecular Biology and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Tamara V. Tsoi has authored 21 papers receiving a total of 830 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Pollution, 10 papers in Molecular Biology and 5 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Tamara V. Tsoi's work include Microbial bioremediation and biosurfactants (14 papers), Bacterial Genetics and Biotechnology (5 papers) and Environmental remediation with nanomaterials (5 papers). Tamara V. Tsoi is often cited by papers focused on Microbial bioremediation and biosurfactants (14 papers), Bacterial Genetics and Biotechnology (5 papers) and Environmental remediation with nanomaterials (5 papers). Tamara V. Tsoi collaborates with scholars based in United States, France and Belgium. Tamara V. Tsoi's co-authors include James M. Tiedje, John F. Quensen, Vincent J. Denef, Jorge L. Mazza Rodrigues, O. V. Mal’tseva, Joonhong Park, J.M. Tiedje, Syed A. Hashsham, Е. Г. Плотникова and Christine Florizone and has published in prestigious journals such as Environmental Science & Technology, PLoS ONE and Applied and Environmental Microbiology.

In The Last Decade

Tamara V. Tsoi

20 papers receiving 808 citations

Author Peers

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

Author Last Decade Papers Cites
Tamara V. Tsoi 499 393 251 194 117 21 830
Malcolm S. Shields 513 1.0× 411 1.0× 204 0.8× 156 0.8× 116 1.0× 27 974
R. Campbell Wyndham 607 1.2× 405 1.0× 268 1.1× 180 0.9× 83 0.7× 30 1.0k
S W Hooper 417 0.8× 316 0.8× 178 0.7× 158 0.8× 88 0.8× 13 716
O. V. Mal’tseva 470 0.9× 269 0.7× 124 0.5× 133 0.7× 80 0.7× 34 763
Hohzoh Kiyohara 638 1.3× 347 0.9× 145 0.6× 220 1.1× 60 0.5× 21 796
Benoît Stenuit 298 0.6× 287 0.7× 192 0.8× 116 0.6× 79 0.7× 26 789
Frens Pries 553 1.1× 607 1.5× 128 0.5× 108 0.6× 122 1.0× 20 1.0k
H. L. Fredrickson 390 0.8× 352 0.9× 220 0.9× 127 0.7× 91 0.8× 22 928
Mike Cassidy 379 0.8× 321 0.8× 145 0.6× 127 0.7× 161 1.4× 21 969
Noboru Takizawa 440 0.9× 346 0.9× 114 0.5× 120 0.6× 66 0.6× 26 767

Countries citing papers authored by Tamara V. Tsoi

Since Specialization
Citations

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

Fields of papers citing papers by Tamara V. Tsoi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tamara V. Tsoi. 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 Tamara V. Tsoi. The network helps show where Tamara V. Tsoi may publish in the future.

Co-authorship network of co-authors of Tamara V. Tsoi

This figure shows the co-authorship network connecting the top 25 collaborators of Tamara V. Tsoi. A scholar is included among the top collaborators of Tamara V. Tsoi 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 Tamara V. Tsoi. Tamara V. Tsoi 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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