Nanhui Chen

637 citations
39 papers · 410 · h-index 14

Impact in

Papers in

Nanhui Chen

36 papers receiving 407 citations

Peers

Nanhui Chen
Comparison fields: 5 of 88
  • Developmental Neuroscience 35
  • Cancer Research 98
  • Neurology 53
  • Cellular and Molecular Neuroscience 89
  • Cognitive Neuroscience 81
Replace Xiaoting Wu with:
Xiaoting Wu China
Eleonora Franzoni Germany
Sarah M. Reinhard United States
Cliona O’Driscoll United States
Emanuela Pasciuto Belgium
Nicolas Pernet France
Katie Schaukowitch United States
Xinrong Li China
Eric K. Washburn United States
Dmitry Molotkov Finland
Nanhui Chen relative to Xiaoting Wu China Xiaoting Wu's profile →
Citations per field
00.5×1.5×1.8×
Xiaoting Wu · 1×
Citations per year

Countries citing papers authored by Nanhui Chen

Since Specialization
Citations

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

Fields of papers citing papers by Nanhui Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Nanhui Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Nanhui Chen Line = papers co-authored together Nanhui Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202062
2 201850
3 201530
4 200429
5 202124
6 202022
7 200120
8 202118
9 200416
10 201416
11 201114
12 201814
13 201913
14 202013
15 200111
16 20157
17 20207
18 20216
19 20215
20 20224

About Nanhui Chen

Nanhui Chen is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Cellular and Molecular Neuroscience, Cognitive Neuroscience and Cancer Research, having authored 39 papers that have together received 410 indexed citations. Recurring topics across this work include Ferroptosis and cancer prognosis (9 papers), Neuroscience and Neuropharmacology Research (6 papers), Neural dynamics and brain function (6 papers), Renal cell carcinoma treatment (5 papers), Memory and Neural Mechanisms (4 papers), Epigenetics and DNA Methylation (4 papers), Circular RNAs in diseases (3 papers) and RNA modifications and cancer (3 papers). The work is most often cited by research in Developmental Neuroscience (35 citations), Cancer Research (98 citations), Neurology (53 citations), Cellular and Molecular Neuroscience (89 citations) and Cognitive Neuroscience (81 citations). Nanhui Chen has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Huiming Jiang, Pei Wan, Haibin Chen, Xintian Hu, Lin Xu, Yuanye Ma, Tian‐Le Xu, Jun Cao, Min Jiang and Jie Feng. Their work appears in journals such as Scientific Reports, Aging, Frontiers in Genetics, PLoS ONE and Frontiers in Cell and Developmental Biology.

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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