Xin Sheng

225 total papers · 8.2k total citations
39 papers, 1.2k citations indexed

About

Xin Sheng is a scholar working on Genetics, Molecular Biology and Oncology. According to data from OpenAlex, Xin Sheng has authored 39 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Genetics, 14 papers in Molecular Biology and 9 papers in Oncology. Recurrent topics in Xin Sheng's work include Genetic Associations and Epidemiology (13 papers), Epigenetics and DNA Methylation (6 papers) and Metal complexes synthesis and properties (5 papers). Xin Sheng is often cited by papers focused on Genetic Associations and Epidemiology (13 papers), Epigenetics and DNA Methylation (6 papers) and Metal complexes synthesis and properties (5 papers). Xin Sheng collaborates with scholars based in United States, China and United Kingdom. Xin Sheng's co-authors include Christopher A. Haiman, Loı̈c Le Marchand, Ying Shao, Fang Liu, Brian E. Henderson, Laurence N. Kolonel, Daniel O. Stram, Xiaomin Lu, Benhong Peng and Guo Wei and has published in prestigious journals such as Nature Genetics, Blood and PLoS ONE.

In The Last Decade

Xin Sheng

37 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
Xin Sheng 486 320 298 172 147 39 1.2k
Joshua A. Roth 310 0.6× 555 1.7× 156 0.5× 230 1.3× 105 0.7× 71 1.4k
Naseem Ahmed 448 0.9× 216 0.7× 110 0.4× 75 0.4× 239 1.6× 75 1.4k
Della Makower 440 0.9× 677 2.1× 170 0.6× 288 1.7× 39 0.3× 54 1.2k
Estefanía Carrasco‐García 811 1.7× 382 1.2× 71 0.2× 412 2.4× 63 0.4× 37 1.3k
David L. Emerson 525 1.1× 260 0.8× 63 0.2× 70 0.4× 118 0.8× 45 1.2k
Jing Zhou 420 0.9× 242 0.8× 82 0.3× 154 0.9× 19 0.1× 72 1.0k
B.M.J. Cantwell 337 0.7× 420 1.3× 159 0.5× 109 0.6× 39 0.3× 52 1.1k
Naoki Agata 772 1.6× 355 1.1× 44 0.1× 293 1.7× 156 1.1× 28 1.3k
Yude Chen 291 0.6× 314 1.0× 62 0.2× 194 1.1× 21 0.1× 25 1.1k
M. Ricci 874 1.8× 368 1.1× 88 0.3× 325 1.9× 65 0.4× 32 1.4k

Countries citing papers authored by Xin Sheng

Since Specialization
Citations

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

Fields of papers citing papers by Xin Sheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xin Sheng

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