Kayan Tam

28 total papers · 1.1k total citations
18 papers, 767 citations indexed

About

Kayan Tam is a scholar working on Molecular Biology, Infectious Diseases and Genetics. According to data from OpenAlex, Kayan Tam has authored 18 papers receiving a total of 767 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 7 papers in Infectious Diseases and 4 papers in Genetics. Recurrent topics in Kayan Tam's work include Antimicrobial Resistance in Staphylococcus (7 papers), Biochemical and Structural Characterization (3 papers) and Bacterial Genetics and Biotechnology (3 papers). Kayan Tam is often cited by papers focused on Antimicrobial Resistance in Staphylococcus (7 papers), Biochemical and Structural Characterization (3 papers) and Bacterial Genetics and Biotechnology (3 papers). Kayan Tam collaborates with scholars based in United States, Czechia and Canada. Kayan Tam's co-authors include Victor J. Torres, Beatrix Ueberheide, Feng‐Xia Liang, Krystal L. Ching, Derya Unutmaz, Ken Cadwell, Avantika Dhabaria, Matthew D. Keller, Scott I. Simon and Ying I. Wang and has published in prestigious journals such as Nature, The Journal of Experimental Medicine and Circulation Research.

In The Last Decade

Kayan Tam

16 papers receiving 758 citations

Hit Papers

Staphylococcus aureusSecr... 2019 2026 2021 2023 2019 50 100 150 200 250

Author Peers

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

Author Last Decade Papers Cites
Kayan Tam 442 282 163 89 83 18 767
Manli Na 523 1.2× 267 0.9× 235 1.4× 74 0.8× 73 0.9× 23 868
Krzysztof Guzik 375 0.8× 265 0.9× 258 1.6× 42 0.5× 114 1.4× 20 767
Pär Larsson 445 1.0× 147 0.5× 172 1.1× 59 0.7× 28 0.3× 26 852
Nilesh J. Bokil 393 0.9× 93 0.3× 167 1.0× 61 0.7× 31 0.4× 22 902
Youhui Si 299 0.7× 140 0.5× 223 1.4× 56 0.6× 59 0.7× 39 722
Go Kamoshida 232 0.5× 193 0.7× 226 1.4× 43 0.5× 76 0.9× 32 654
Juan Sabatté 265 0.6× 120 0.4× 402 2.5× 72 0.8× 51 0.6× 28 833
Nan Qi 404 0.9× 238 0.8× 395 2.4× 51 0.6× 19 0.2× 30 893
Christopher Mehlin 544 1.2× 147 0.5× 251 1.5× 50 0.6× 84 1.0× 22 873
Gabriella Garufi 419 0.9× 146 0.5× 88 0.5× 107 1.2× 60 0.7× 17 768

Countries citing papers authored by Kayan Tam

Since Specialization
Citations

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

Fields of papers citing papers by Kayan Tam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kayan Tam

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