Chi Han

1.7k citations
35 papers · 1.2k indexed · 1 hit paper · h-index 15

Impact in

Papers in

Chi Han

31 papers receiving 1.2k citations

Hit Papers

Active biointegrated living electronics for managing inflammation 2024 · 77 citations
77202420262025255075

Peers

Chi Han
Comparison fields: 5 of 107
  • Applied Microbiology and Biotechnology 139
  • Biochemistry 354
  • Pathology and Forensic Medicine 497
  • Molecular Medicine 95
  • Biological Psychiatry 28
Replace Mou-Tuan Huang with:
Mou-Tuan Huang United States
Y R Lou United States
Piwen Wang United States
Thomas Ferraro United States
Harriet L. Zuckerbraun United States
Mitsuaki Sano Japan
Diwakar Aggarwal India
Tyler Calway United States
You-Rong Lou United States
Manicka V. Vadhanam United States
Chi Han relative to Mou-Tuan Huang United States Mou-Tuan Huang's profile →
Citations per field
00.5×9.0×
Mou-Tuan Huang · 1×
Citations per year

Countries citing papers authored by Chi Han

Since Specialization
Citations

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

Fields of papers citing papers by Chi Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20250
4 20240
5 20241
6 20241
7 202415
8 202439
9 20243
10 20232
11 202279
12 20227
13 202217
14 20070
15 2002180
16 200014
17 199941
18 199976
19 199922
20 199539

About Chi Han

Chi Han is a scholar working on Applied Microbiology and Biotechnology, Pathology and Forensic Medicine, Periodontics, Computer Graphics and Computer-Aided Design and Organic Chemistry, having authored 35 papers that have together received 1.2k indexed citations. Recurring topics across this work include Tea Polyphenols and Effects (10 papers), Topic Modeling (4 papers), Natural Language Processing Techniques (4 papers), Cancer-related Molecular Pathways (3 papers), Genomics, phytochemicals, and oxidative stress (2 papers), Ubiquitin and proteasome pathways (2 papers), Multimodal Machine Learning Applications (2 papers) and Advanced Sensor and Energy Harvesting Materials (2 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (139 citations), Biochemistry (354 citations), Pathology and Forensic Medicine (497 citations), Molecular Medicine (95 citations) and Biological Psychiatry (28 citations). Chi Han has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Yong Xu, Junshi Chen, Shantu Amin, Chi‐Tang Ho, Fung‐Lung Chung, Junshi Chen, Ning Li, Ning Li, Zheng Sun and Yunfei Du. Their work appears in journals such as Nutrition and Cancer, RSC Medicinal Chemistry, Poultry Science, Smart Materials and Structures and Journal of the American Chemical Society.

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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