Nanxiang Ge

764 citations
18 papers · 201 indexed · h-index 8
Topics
Gene expression and cancer classification (4 papers)Water Quality Monitoring and Analysis (2 papers)Acute Myeloid Leukemia Research (2 papers)

In The Last Decade

Nanxiang Ge

18 papers receiving 189 citations

Peers

Nanxiang Ge
Comparison fields: 5 of 80
  • Molecular Biology 79
  • Analytical Chemistry 36
  • Plant Science 21
  • Hematology 19
  • Genetics 17
Replace Yan J Zhang with:
Yan J Zhang United States
Christophe Vanderaa Belgium
Zhongjing Su China
M. Juanita Martinez United States
T. Murlidharan Nair United States
Elia Mattarucchi Italy
Tiago M. Duarte Portugal
Olga Pawluczyk Canada
Yiwei Sun United States
Gift Nyamundanda United Kingdom
Nanxiang Ge relative to Yan J Zhang United States Yan J Zhang's profile →
Citations per field
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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

18 of 18 papers shown
#WorkIndexed citations
1 3
2 8
3 9
4 13
5 1
6 11
7 72
8
Prediction of IFN-gamma regulated gene transcription.
6
9
Design of diversity and focused combinatorial libraries in drug discovery.
7
10 5
11 2
12
6
13 2
14 11
15 33
16 3
17 4
18 5

About Nanxiang Ge

Nanxiang Ge is a scholar working on Statistics and Probability, Industrial and Manufacturing Engineering and Analytical Chemistry, having authored 18 papers that have together received 201 indexed citations. Recurring topics across this work include Gene expression and cancer classification (4 papers), Water Quality Monitoring and Analysis (2 papers) and Acute Myeloid Leukemia Research (2 papers). The work is most often cited by research in Analytical Chemistry (36 citations), Biophysics (12 citations) and Industrial and Manufacturing Engineering (16 citations). Nanxiang Ge has collaborated with scholars based in United States, France and Sweden. Frequent co-authors include Edward V. Thomas, Asher Zilberstein, Hong Liu, Charles B. Epstein, Paul S. Wright, Karen Wong, Steve Busch, Douglas G. Simpson, Hui Cao and Alan Saltzman. Their work appears in journals such as Journal of Clinical Oncology, Journal of the American Statistical Association and Technometrics.

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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