Nanxiang Ge

26 total papers · 759 total citations
18 papers, 201 citations indexed

About

Nanxiang Ge is a scholar working on Molecular Biology, Genetics and Industrial and Manufacturing Engineering. According to data from OpenAlex, Nanxiang Ge has authored 18 papers receiving a total of 201 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 3 papers in Genetics and 2 papers in Industrial and Manufacturing Engineering. Recurrent topics in Nanxiang Ge's work include Gene expression and cancer classification (4 papers), Spectroscopy and Chemometric Analyses (2 papers) and Acute Myeloid Leukemia Research (2 papers). Nanxiang Ge is often cited by papers focused on Gene expression and cancer classification (4 papers), Spectroscopy and Chemometric Analyses (2 papers) and Acute Myeloid Leukemia Research (2 papers). Nanxiang Ge collaborates with scholars based in United States, France and Germany. Nanxiang Ge's co-authors include Edward V. Thomas, Hong Liu, Asher Zilberstein, Charles B. Epstein, Paul S. Wright, Xin Zhang, Douglas G. Simpson, Alan Saltzman, Karen Wong and Jie‐Yi Lin and has published in prestigious journals such as Journal of Clinical Oncology, Journal of the American Statistical Association and Technometrics.

In The Last Decade

Nanxiang Ge

18 papers receiving 189 citations

Author Peers

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

Author Last Decade Papers Cites
Nanxiang Ge 79 36 21 19 17 18 201
Radana Brumarová 121 1.5× 9 0.3× 8 0.4× 14 0.7× 7 0.4× 20 191
Christophe Vanderaa 117 1.5× 6 0.2× 39 1.9× 9 0.5× 7 0.4× 16 289
Lijuan Du 130 1.6× 34 0.9× 2 0.1× 8 0.4× 8 0.5× 19 232
Peter van Amsterdam 100 1.3× 12 0.3× 5 0.2× 6 0.3× 12 0.7× 17 288
Effrossyni Boutou 154 1.9× 9 0.3× 15 0.7× 43 2.3× 34 2.0× 25 272
Giulio Spinozzi 143 1.8× 7 0.2× 59 2.8× 36 1.9× 79 4.6× 16 230
Xianbin Cheng 62 0.8× 54 1.5× 96 4.6× 11 0.6× 1 0.1× 21 272
Yiwei Sun 200 2.5× 4 0.1× 19 0.9× 12 0.6× 14 0.8× 11 267
Rong‐Sheng Yang 216 2.7× 6 0.2× 11 0.5× 5 0.3× 13 0.8× 19 272
W. B. Qian 75 0.9× 4 0.1× 24 1.1× 12 0.6× 42 2.5× 21 216

Countries citing papers authored by Nanxiang Ge

Since Specialization
Citations

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

Fields of papers citing papers by Nanxiang Ge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nanxiang Ge

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