Han Yan

1.3k citations
38 papers · 1.0k · h-index 15

Impact in

Papers in

Han Yan

35 papers receiving 1.0k citations

Peers

Han Yan
Comparison fields: 5 of 125
  • Complementary and alternative medicine 185
  • Pharmacology 366
  • Neurology 69
  • Computational Theory and Mathematics 123
  • Soil Science 67
Replace Muhammed Khairujjaman Mazumder with:
Muhammed Khairujjaman Mazumder India
Young-In Park South Korea
Wenxiang Fan China
Xufei Chen China
Satoshi Yano Japan
Barry W. Wilson United States
Shahzada Mudasir Rashid India
Dongmei Qi China
Baocai Li China
Tânia Martins Portugal
Han Yan relative to Muhammed Khairujjaman Mazumder India Muhammed Khairujjaman Mazumder's profile →
Citations per field
00.5×4.1×
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 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006393
2 200892
3 202267
4 200767
5 200466
6 202059
7
Treating senile dementia with traditional Chinese medicine.
200733
8 202028
9 201124
10 201523
11 202117
12 200717
13 202017
14 202416
15 202014
16 202213
17 202113
18 201511
19 200110
20 201210

About Han Yan

Han Yan is a scholar working on Plant Science, Nature and Landscape Conservation, Biomedical Engineering, Pharmacology and Molecular Biology, having authored 38 papers that have together received 1.0k indexed citations. Recurring topics across this work include Ecology and Vegetation Dynamics Studies (6 papers), Phase Equilibria and Thermodynamics (5 papers), Cholinesterase and Neurodegenerative Diseases (5 papers), Mycorrhizal Fungi and Plant Interactions (4 papers), Computational Drug Discovery Methods (4 papers), Alzheimer's disease research and treatments (3 papers), Traditional Chinese Medicine Analysis (3 papers) and Soil Carbon and Nitrogen Dynamics (3 papers). The work is most often cited by research in Complementary and alternative medicine (185 citations), Pharmacology (366 citations), Neurology (69 citations), Computational Theory and Mathematics (123 citations) and Soil Science (67 citations). Han Yan has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Rui Wang, Xi-Can Tang, Xi Tang, Haiyan Zhang, Liang Kou, Lei Jiang, Xiaoli Fu, Shenggong Li, Li Tang and Xin Gao. Their work appears in journals such as Energy Sources Part A Recovery Utilization and Environmental Effects, The Journal of Chemical Thermodynamics, International Journal of Refrigeration, Nature Communications and Applied Thermal Engineering.

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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