Rachel Tam

39 total papers · 2.4k total citations
16 papers, 1.4k citations indexed

About

Rachel Tam is a scholar working on Oncology, Cancer Research and Pathology and Forensic Medicine. According to data from OpenAlex, Rachel Tam has authored 16 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Oncology, 5 papers in Cancer Research and 4 papers in Pathology and Forensic Medicine. Recurrent topics in Rachel Tam's work include Cancer Genomics and Diagnostics (5 papers), Genetic factors in colorectal cancer (4 papers) and Colorectal Cancer Treatments and Studies (4 papers). Rachel Tam is often cited by papers focused on Cancer Genomics and Diagnostics (5 papers), Genetic factors in colorectal cancer (4 papers) and Colorectal Cancer Treatments and Studies (4 papers). Rachel Tam collaborates with scholars based in United States, France and Germany. Rachel Tam's co-authors include Ron Mittler, Karen Schlauch, Diego Fernando Marmolejo Cortes, Miguel Ángel Medina Torres, Gad Miller, Jeffery L. Dangl, Vladimir Shulaev, Nobuhiro Suzuki, Omar Kabbarah and Xueping Qu and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Rachel Tam

15 papers receiving 1.4k citations

Hit Papers

The Plant NADPH Oxidase R... 2009 2026 2014 2020 2009 250 500 750

Author Peers

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

Author Last Decade Papers Cites
Rachel Tam 896 558 291 162 140 16 1.4k
Rikard Erlandsson 604 0.7× 905 1.6× 124 0.4× 69 0.4× 209 1.5× 22 1.3k
Sanjeev K. Baniwal 523 0.6× 1.3k 2.3× 392 1.3× 35 0.2× 218 1.6× 24 1.8k
Guangwu Guo 321 0.4× 815 1.5× 185 0.6× 49 0.3× 241 1.7× 20 1.4k
Yunyun Su 318 0.4× 503 0.9× 283 1.0× 136 0.8× 120 0.9× 36 1.3k
Aidan J. McFall 482 0.5× 894 1.6× 344 1.2× 66 0.4× 169 1.2× 9 1.6k
Pietri Puustinen 324 0.4× 912 1.6× 287 1.0× 49 0.3× 147 1.1× 17 1.5k
Christopher G. Love 461 0.5× 610 1.1× 191 0.7× 89 0.5× 124 0.9× 45 1.2k
Jeffrey Chu 197 0.2× 552 1.0× 143 0.5× 69 0.4× 123 0.9× 30 1.1k
Meng Qiao 893 1.0× 1.3k 2.2× 156 0.5× 35 0.2× 164 1.2× 25 1.7k
Rosa Farrás 546 0.6× 1.0k 1.8× 257 0.9× 34 0.2× 134 1.0× 37 1.4k

Countries citing papers authored by Rachel Tam

Since Specialization
Citations

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

Fields of papers citing papers by Rachel Tam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rachel Tam

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