Xiaohan Chen

228 papers receiving 6.5k citations

Peers

Xiaohan Chen
Comparison fields: 5 of 162
  • Neurology 1.8k
  • Aquatic Science 519
  • Epidemiology 1.4k
  • Emergency Medicine 365
  • Catalysis 291
Replace Yongjian Liu with:
Yongjian Liu China
John H. Phillips United States
Takashi Matsui Japan
Ying Wang China
Qin Zhou China
Kenichi Ishibashi Japan
Qun Wang China
Kiichi Hirota Japan
Z. Cohen Israel
Ji‐Eun Kim South Korea
Xiaohan Chen relative to Yongjian Liu China Yongjian Liu's profile →
Citations per field
00.5×10×15×18.3×
Yongjian Liu · 1×
Citations per year

Countries citing papers authored by Xiaohan Chen

Since Specialization
Citations

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

Fields of papers citing papers by Xiaohan Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Xiaohan 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 Xiaohan Chen Line = papers co-authored together Xiaohan Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 241 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997369
2 2007295
3 2004220
4 2011192
5 2004177
6 1997176
7 2003172
8 2000171
9 1999156
10 2006139
11 1998125
12 2015122
13 2022120
14 2002118
15 2014117
16 2013115
17 1998109
18 2014108
19 2013106
20 2004103

About Xiaohan Chen

Xiaohan Chen is a scholar working on Molecular Biology, Biomedical Engineering, Materials Chemistry, Immunology and Neurology, having authored 241 papers that have together received 6.6k indexed citations. Recurring topics across this work include Nanopore and Nanochannel Transport Studies (23 papers), Traumatic Brain Injury and Neurovascular Disturbances (18 papers), Aquaculture Nutrition and Growth (17 papers), Invertebrate Immune Response Mechanisms (17 papers), Advanced biosensing and bioanalysis techniques (14 papers), Catalytic Processes in Materials Science (14 papers), Ion-surface interactions and analysis (13 papers) and Aquaculture disease management and microbiota (13 papers). The work is most often cited by research in Neurology (1.8k citations), Aquatic Science (519 citations), Epidemiology (1.4k citations), Emergency Medicine (365 citations) and Catalysis (291 citations). Xiaohan Chen has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Douglas H. Smith, David F. Meaney, David I. Graham, Tracy K. McIntosh, Kevin D. Browne, John Q. Trojanowski, Akira Iwata, Xiyun Guan, John A. Wolf and Youwen Zhang. Their work appears in journals such as Fish & Shellfish Immunology, Journal of Neurotrauma, Biosensors and Bioelectronics, Journal of Neuropathology & Experimental Neurology and Analytica Chimica Acta.

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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