Hui Ling Han

87 papers receiving 4.1k citations

Peers

Hui Ling Han
Comparison fields: 5 of 96
  • Animal Science and Zoology 496
  • Pathology and Forensic Medicine 579
  • Endocrine and Autonomic Systems 77
  • Materials Chemistry 534
  • Molecular Biology 675
Replace Magdalena L. Circu with:
Magdalena L. Circu United States
Yongli Wang China
Yi Zheng China
Kyôko Takahashi Japan
Peng Chen China
Bowen Huang United States
Conrad Wagner United States
S. Harvey Mudd United States
Shashi Bala Singh India
Mantong Zhao China
Hui Ling Han relative to Magdalena L. Circu United States Magdalena L. Circu's profile →
Citations per field
00.5×2×4×6×8.2×
Magdalena L. Circu · 1×
Citations per year

Countries citing papers authored by Hui Ling Han

Since Specialization
Citations

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

Fields of papers citing papers by Hui Ling Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999351
2 2018344
3 1999260
4 2001253
5 2021232
6 2018160
7 2019152
8 2019145
9 2018128
10 2000120
11 2021119
12 2021112
13 2020101
14 201899
15 201793
16 202078
17 202174
18 201768
19 201868
20 202164

About Hui Ling Han

Hui Ling Han is a scholar working on Animal Science and Zoology, Molecular Biology, Materials Chemistry, Pathology and Forensic Medicine and Reproductive Medicine, having authored 89 papers that have together received 4.2k indexed citations. Recurring topics across this work include Animal Nutrition and Physiology (17 papers), Gut microbiota and health (16 papers), Carbon and Quantum Dots Applications (7 papers), Cardiac Ischemia and Reperfusion (4 papers), Molecular Sensors and Ion Detection (3 papers), Microbial Natural Products and Biosynthesis (3 papers), Sperm and Testicular Function (3 papers) and Plant Stress Responses and Tolerance (2 papers). The work is most often cited by research in Animal Science and Zoology (496 citations), Pathology and Forensic Medicine (579 citations), Endocrine and Autonomic Systems (77 citations), Materials Chemistry (534 citations) and Molecular Biology (675 citations). Hui Ling Han has collaborated with scholars based in China, United States and Belgium. Frequent co-authors include Jie Yin, Yulong Yin, Yu‐Ting Xuan, Roberto Bolli, Tiejun Li, Yuying Li, Chuan Dong, Shaomin Shuang, Ruqing Zhong and Bao Yi. Their work appears in journals such as International Journal of Molecular Sciences, Food & Function, Journal of Materials Chemistry B, The Journal of Nutritional Biochemistry and Frontiers in Nutrition.

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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