Renkuan Tang

78 total papers · 1.2k total citations
37 papers, 527 citations indexed

About

Renkuan Tang is a scholar working on Genetics, Molecular Biology and Archeology. According to data from OpenAlex, Renkuan Tang has authored 37 papers receiving a total of 527 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Genetics, 15 papers in Molecular Biology and 6 papers in Archeology. Recurrent topics in Renkuan Tang's work include Forensic and Genetic Research (13 papers), Genetic diversity and population structure (10 papers) and Forensic Anthropology and Bioarchaeology Studies (6 papers). Renkuan Tang is often cited by papers focused on Forensic and Genetic Research (13 papers), Genetic diversity and population structure (10 papers) and Forensic Anthropology and Bioarchaeology Studies (6 papers). Renkuan Tang collaborates with scholars based in China, Singapore and United Kingdom. Renkuan Tang's co-authors include Jianbo Li, Guanglin He, Xing Zou, Ying Zhu, Mengge Wang, Yongguo Li, Ailong Huang, Zheng Wang, Lan‐Hai Wei and Chuan‐Chao Wang and has published in prestigious journals such as PLoS ONE, The International Journal of Biochemistry & Cell Biology and Toxicology and Applied Pharmacology.

In The Last Decade

Renkuan Tang

34 papers receiving 518 citations

Author Peers

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

Author						Papers	Cites
Renkuan Tang	232	183	85	82	52	37	527
Sho Manabe	246 1.1×	159 0.9×	149 1.8×	44 0.5×	42 0.8×	26	490
Shengping Hu	294 1.3×	119 0.7×	57 0.7×	60 0.7×	66 1.3×	27	533
Amel Benammar-Elgaaïed	182 0.8×	225 1.2×	43 0.5×	43 0.5×	61 1.2×	44	575
Shogo Kasuda	202 0.9×	76 0.4×	42 0.5×	86 1.0×	72 1.4×	54	580
Maristella Steri	210 0.9×	113 0.6×	27 0.3×	27 0.3×	118 2.3×	24	505
Agnese Re	258 1.1×	36 0.2×	23 0.3×	23 0.3×	88 1.7×	28	457
Avinash Thakur	271 1.2×	73 0.4×	41 0.5×	40 0.5×	43 0.8×	40	558
G. Martínez-Cortés	186 0.8×	304 1.7×	26 0.3×	16 0.2×	21 0.4×	30	529
Gandham SriLakshmi Bhavani	274 1.2×	301 1.6×	47 0.6×	25 0.3×	36 0.7×	45	536
Hongsheng Yang	223 1.0×	93 0.5×	61 0.7×	109 1.3×	112 2.2×	31	489

Countries citing papers authored by Renkuan Tang

Since Specialization

Citations

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

Fields of papers citing papers by Renkuan Tang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Renkuan Tang

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