R. Tang

20 total papers · 1.6k total citations
14 papers, 1.1k citations indexed

About

R. Tang is a scholar working on Oncology, Pathology and Forensic Medicine and Molecular Biology. According to data from OpenAlex, R. Tang has authored 14 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Oncology, 5 papers in Pathology and Forensic Medicine and 4 papers in Molecular Biology. Recurrent topics in R. Tang's work include Genetic factors in colorectal cancer (5 papers), Calcium signaling and nucleotide metabolism (3 papers) and Cancer-related gene regulation (3 papers). R. Tang is often cited by papers focused on Genetic factors in colorectal cancer (5 papers), Calcium signaling and nucleotide metabolism (3 papers) and Cancer-related gene regulation (3 papers). R. Tang collaborates with scholars based in Taiwan, United States and Germany. R. Tang's co-authors include Yuqi Kang, Hui Hui, Tariq M. Rana, Na Li, Kriti Agrawal, Lingling Wang, Sarah Huff, Gwendolyn González, Sandip Pravin Patel and Jiajun Yuan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The EMBO Journal and Scientific Reports.

In The Last Decade

R. Tang

14 papers receiving 1.1k citations

Hit Papers

ALKBH5 regulates anti–PD-... 2020 2026 2022 2024 2020 2020 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
R. Tang 744 467 343 141 125 14 1.1k
Nail Fatkhutdinov 795 1.1× 186 0.4× 337 1.0× 149 1.1× 23 0.2× 15 1.1k
Sheryl R. Krig 1.1k 1.5× 360 0.8× 232 0.7× 50 0.4× 57 0.5× 18 1.4k
Hoanh Tran 1.1k 1.4× 225 0.5× 282 0.8× 73 0.5× 102 0.8× 21 1.5k
Lu Zang 711 1.0× 444 1.0× 213 0.6× 71 0.5× 69 0.6× 25 914
Marsela Braunstein 633 0.9× 372 0.8× 445 1.3× 107 0.8× 74 0.6× 15 1.4k
Yuanbin Ru 842 1.1× 519 1.1× 352 1.0× 56 0.4× 182 1.5× 17 1.3k
Junbin Liao 693 0.9× 403 0.9× 210 0.6× 44 0.3× 72 0.6× 19 1.0k
Leizhen Wei 1.2k 1.6× 205 0.4× 464 1.4× 184 1.3× 51 0.4× 20 1.4k
Agnieszka Chryplewicz 988 1.3× 478 1.0× 277 0.8× 24 0.2× 44 0.4× 15 1.3k
Anna M. Chiarella 646 0.9× 280 0.6× 317 0.9× 53 0.4× 47 0.4× 13 952

Countries citing papers authored by R. Tang

Since Specialization
Citations

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

Fields of papers citing papers by R. Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R. Tang

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