Jianfeng Lan

828 citations
26 papers · 512 · h-index 11

Impact in

  • Aging top 5%
    • Genetics, Aging, and Longevity in Model Organisms
    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 and COVID-19 Research
    • SARS-CoV-2 detection and testing

Papers in

    • Genetics, Aging, and Longevity in Model Organisms 7
    • COVID-19 Clinical Research Studies 4
    • SARS-CoV-2 and COVID-19 Research 3

Jianfeng Lan

25 papers receiving 500 citations

Peers

Jianfeng Lan
Comparison fields: 5 of 109
  • Aging 57
  • Infectious Diseases 191
  • Neurology 88
  • Periodontics 25
  • Complementary and alternative medicine 24
Replace Mei Hu with:
Mei Hu China
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Sara Svensson Akusjärvi Sweden
Nour K. Younis Lebanon
Michelle Chang United States
Hamed Valizadeh Iran
Dongxia Wang China
Mahnaz Ghaebi Iran
Weitao Chen China
Ana Mendes‐Frias Portugal
Jianfeng Lan relative to Mei Hu China Mei Hu's profile →
Citations per field
00.5×6.3×
Mei Hu · 1×
Citations per year

Countries citing papers authored by Jianfeng Lan

Since Specialization
Citations

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

Fields of papers citing papers by Jianfeng Lan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020163
2 202183
3 201950
4 202236
5 202028
6 201626
7 201821
8 202017
9 202316
10 202413
11 202311
12 20249
13 20238
14 20158
15 20205
16 20204
17 20224
18 20252
19 20172
20 20241

About Jianfeng Lan

Jianfeng Lan is a scholar working on Aging, Infectious Diseases, Physiology, Molecular Biology and Endocrine and Autonomic Systems, having authored 26 papers that have together received 512 indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (7 papers), Spaceflight effects on biology (5 papers), COVID-19 Clinical Research Studies (4 papers), Circadian rhythm and melatonin (4 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Long-Term Effects of COVID-19 (2 papers), ZnO doping and properties (2 papers) and 3D Printing in Biomedical Research (2 papers). The work is most often cited by research in Aging (57 citations), Infectious Diseases (191 citations), Neurology (88 citations), Periodontics (25 citations) and Complementary and alternative medicine (24 citations). Jianfeng Lan has collaborated with scholars based in China, United States and Belarus. Frequent co-authors include Guoyu Tan, Yingxia Liu, Di Chen, Jing Yuan, Xiaohe Li, Yanchao Pan, Yanhua Liang, Shanglong Kou, Lei Liu and Lijiao Zeng. Their work appears in journals such as Inflammation Research, Colloids and Surfaces A Physicochemical and Engineering Aspects, Applied Surface Science, Ceramics International and Frontiers in Cell and Developmental Biology.

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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