Xi Lan

1.0k citations
48 papers · 795 · h-index 15

Impact in

    • Animal Virus Infections Studies
  • Neurology top 10%
    • Intracerebral and Subarachnoid Hemorrhage Research
    • Neuroinflammation and Neurodegeneration Mechanisms

Papers in

Xi Lan

45 papers receiving 776 citations

Peers

Xi Lan
Comparison fields: 5 of 102
  • Animal Science and Zoology 157
  • Neurology 100
  • Neurology 158
  • Infectious Diseases 154
  • Agronomy and Crop Science 64
Replace Zihong Chen with:
Zihong Chen China
Mihály Albert Hungary
Zhongxia Li China
Nengzhang Li China
Liwei Li China
Okjin Kim South Korea
Yaoyao Xia China
Angelo Peli Italy
Xi Lan relative to Zihong Chen China Zihong Chen's profile →
Citations per field
00.5×7.5×
Zihong Chen · 1×
Citations per year

Countries citing papers authored by Xi Lan

Since Specialization
Citations

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

Fields of papers citing papers by Xi Lan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201194
2 201882
3 201573
4 201652
5 201250
6 202340
7 202338
8 201037
9 201834
10 201126
11 202019
12 202217
13 202015
14 200814
15 202114
16 201913
17 201013
18 201112
19 201612
20 201011

About Xi Lan

Xi Lan is a scholar working on Infectious Diseases, Animal Science and Zoology, Cardiology and Cardiovascular Medicine, Molecular Biology and Genetics, having authored 48 papers that have together received 795 indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (17 papers), Animal Virus Infections Studies (12 papers), Viral Infections and Immunology Research (10 papers), Virus-based gene therapy research (6 papers), Animal Nutrition and Physiology (4 papers), Hepatitis Viruses Studies and Epidemiology (4 papers), Immune Response and Inflammation (3 papers) and Rabies epidemiology and control (3 papers). The work is most often cited by research in Animal Science and Zoology (157 citations), Neurology (100 citations), Neurology (158 citations), Infectious Diseases (154 citations) and Agronomy and Crop Science (64 citations). Xi Lan has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Xiaoning Han, Jian Wang, Xi Liu, Jixing Liu, Guanhua Du, Jian Ying, Bin Yang, Haiguang Yang, Rui Liu and Tiantai Zhang. Their work appears in journals such as Archives of Virology, Journal of Cerebral Blood Flow & Metabolism, Infection Genetics and Evolution, Virus Genes and Frontiers in Microbiology.

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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