Xin Geng

76 total papers · 2.1k total citations
49 papers, 1.4k citations indexed

About

Xin Geng is a scholar working on Molecular Biology, Oncology and Global and Planetary Change. According to data from OpenAlex, Xin Geng has authored 49 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 17 papers in Oncology and 9 papers in Global and Planetary Change. Recurrent topics in Xin Geng's work include Lymphatic System and Diseases (15 papers), Developmental Biology and Gene Regulation (7 papers) and Land Use and Ecosystem Services (5 papers). Xin Geng is often cited by papers focused on Lymphatic System and Diseases (15 papers), Developmental Biology and Gene Regulation (7 papers) and Land Use and Ecosystem Services (5 papers). Xin Geng collaborates with scholars based in United States, China and South Korea. Xin Geng's co-authors include Guillermo Oliver, R. Sathish Srinivasan, Oleg V. Lagutin, Md. Riaj Mahamud, Boksik Cha, Yongsu Jeong, Douglas J. Epstein, Suraj Mukatira, Yingdi Wang and Ying Yang and has published in prestigious journals such as Journal of Clinical Investigation, Nature Genetics and Genes & Development.

In The Last Decade

Xin Geng

47 papers receiving 1.4k 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 Geng 797 526 243 204 179 49 1.4k
Chengjin Li 698 0.9× 175 0.3× 175 0.7× 64 0.3× 197 1.1× 53 1.8k
Pei Cheng 1.2k 1.5× 237 0.5× 201 0.8× 145 0.7× 63 0.4× 31 1.6k
Hiroyuki Nogawa 713 0.9× 112 0.2× 162 0.7× 393 1.9× 272 1.5× 49 1.5k
Annette Borchers 1.3k 1.6× 174 0.3× 265 1.1× 298 1.5× 99 0.6× 33 1.8k
Paul A. Reynolds 848 1.1× 260 0.5× 108 0.4× 359 1.8× 60 0.3× 59 1.7k
Eri Takahashi 604 0.8× 105 0.2× 106 0.4× 109 0.5× 96 0.5× 96 1.8k
Makoto Sano 596 0.7× 355 0.7× 138 0.6× 44 0.2× 106 0.6× 81 1.5k
Angela Jones 529 0.7× 236 0.4× 110 0.5× 96 0.5× 123 0.7× 51 1.5k
Raúl Cassia 759 1.0× 304 0.6× 86 0.4× 78 0.4× 46 0.3× 25 1.7k
Jacqueline F. Donoghue 532 0.7× 236 0.4× 76 0.3× 41 0.2× 49 0.3× 42 1.4k

Countries citing papers authored by Xin Geng

Since Specialization
Citations

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

Fields of papers citing papers by Xin Geng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xin Geng

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