Han Yan

1.3k citations
39 papers · 988 · h-index 14

Impact in

Papers in

Han Yan

36 papers receiving 968 citations

Peers

Han Yan
Comparison fields: 5 of 126
  • Complementary and alternative medicine 194
  • Pharmacology 364
  • Neurology 84
  • Computational Theory and Mathematics 129
  • Soil Science 66
Replace Muhammed Khairujjaman Mazumder with:
Muhammed Khairujjaman Mazumder India
Satoshi Yano Japan
Xufei Chen China
Dongmei Qi China
Baocai Li China
Sonia Sanz Muñoz Australia
Dongxiao Sun United States
Barry W. Wilson United States
Jianli Yang China
P.J. Houghton United Kingdom
Han Yan relative to Muhammed Khairujjaman Mazumder India Muhammed Khairujjaman Mazumder's profile →
Citations per field
00.5×8.3×
Muhammed Khairujjaman Mazumder · 1×
Citations per year

Countries citing papers authored by Han Yan

Since Specialization
Citations

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

Fields of papers citing papers by Han Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Han Yan, 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 Han Yan Line = papers co-authored together Han Yan 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 2006366
2 200884
3 200466
4 200760
5 202056
6 202254
7
Treating senile dementia with traditional Chinese medicine.
200733
8 202028
9 201123
10 201522
11 202117
12 200717
13 202017
14 202014
15 202413
16 202113
17 202212
18 201511
19 201210
20 201610

About Han Yan

Han Yan is a scholar working on Plant Science, Nature and Landscape Conservation, Biomedical Engineering, Pharmacology and Molecular Biology, having authored 39 papers that have together received 988 indexed citations. Recurring topics across this work include Ecology and Vegetation Dynamics Studies (6 papers), Cholinesterase and Neurodegenerative Diseases (5 papers), Phase Equilibria and Thermodynamics (5 papers), Computational Drug Discovery Methods (4 papers), Mycorrhizal Fungi and Plant Interactions (4 papers), Alzheimer's disease research and treatments (3 papers), Plant Parasitism and Resistance (3 papers) and Traditional Chinese Medicine Analysis (3 papers). The work is most often cited by research in Complementary and alternative medicine (194 citations), Pharmacology (364 citations), Neurology (84 citations), Computational Theory and Mathematics (129 citations) and Soil Science (66 citations). Han Yan has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Xi-Can Tang, Rui Wang, Xi Tang, Haiyan Zhang, Shenggong Li, Xiaoli Fu, Li Tang, Xin Gao, Lei Jiang and Liang Kou. Their work appears in journals such as Energy Sources Part A Recovery Utilization and Environmental Effects, Nature Communications, International Journal of Refrigeration, The Journal of Chemical Thermodynamics and Functional Ecology.

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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