Tiehua Chen

480 citations
28 papers · 358 · h-index 7

Impact in

Papers in

Tiehua Chen

23 papers receiving 354 citations

Peers

Tiehua Chen
Comparison fields: 5 of 57
  • Hematology 72
  • Cell Biology 64
  • Oncology 74
  • Molecular Biology 190
  • Cancer Research 35
Replace Katie Glen with:
Katie Glen United Kingdom
Maria Lioumi United Kingdom
Jung Ahn United States
Elias Orouji United States
Thomas Zerjatke Germany
Wenbao Yu United States
Andréa Alex Schiavo Belgium
Huanming Xu China
Giacoma De Tullio Italy
Sonia Poirault‐Chassac France
Tiehua Chen relative to Katie Glen United Kingdom Katie Glen's profile →
Citations per field
00.5×
Katie Glen · 1×
Citations per year

Countries citing papers authored by Tiehua Chen

Since Specialization
Citations

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

Fields of papers citing papers by Tiehua Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013239
2 201427
3 200516
4 202210
5 20078
6 20128
7 20147
8 20025
9 20105
10 20075
11 20224
12 20084
13 20084
14 20133
15 20073
16 20082
17 20092
18 20181
19 20071
20 20091

About Tiehua Chen

Tiehua Chen is a scholar working on Mechanical Engineering, Control and Systems Engineering, Molecular Biology, Cellular and Molecular Neuroscience and Neurology, having authored 28 papers that have together received 358 indexed citations. Recurring topics across this work include Teleoperation and Haptic Systems (10 papers), Industrial Technology and Control Systems (4 papers), Ion channel regulation and function (4 papers), Cardiac electrophysiology and arrhythmias (3 papers), Hydraulic and Pneumatic Systems (3 papers), Virtual Reality Applications and Impacts (2 papers), Intracranial Aneurysms: Treatment and Complications (2 papers) and Occupational Health and Safety Research (2 papers). The work is most often cited by research in Hematology (72 citations), Cell Biology (64 citations), Oncology (74 citations), Molecular Biology (190 citations) and Cancer Research (35 citations). Tiehua Chen has collaborated with scholars based in China, United States and Belgium. Frequent co-authors include Maurizio Zangari, Wei Xiong, Shashirekha Shetty, Guido Tricot, He Wang, Wen Zhou, Hongwei Xu, David J. Bearss, Zhaoyang Zeng and Ye Yang. Their work appears in journals such as American Journal of Physiology-Heart and Circulatory Physiology, The FASEB Journal, Journal of Alloys and Compounds, Cancer Cell and Human Molecular Genetics.

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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