Fen Lan

696 citations
36 papers · 394 · h-index 12

Impact in

Papers in

    • Natural product bioactivities and synthesis 2
    • Immune Response and Inflammation 3
    • Galectins and Cancer Biology 2

Fen Lan

34 papers receiving 384 citations

Peers

Fen Lan
Comparison fields: 5 of 89
  • Microbiology 4
  • Immunology 98
  • Microbiology 26
  • Internal Medicine 15
  • Cancer Research 50
Replace Sumito Oguchi with:
Sumito Oguchi Japan
Masato Kakeda Japan
Walton J. Montegut United States
Zengding Zhou China
Zhixuan Zhang China
Theodore J. Standiford United States
Chunyan Zhang China
Elaine Hayes Ireland
Jun‐Kai Kao Taiwan
V. Hornsey United Kingdom
Fen Lan relative to Sumito Oguchi Japan Sumito Oguchi's profile →
Citations per field
00.5×6.4×
Sumito Oguchi · 1×
Citations per year

Countries citing papers authored by Fen Lan

Since Specialization
Citations

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

Fields of papers citing papers by Fen Lan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202142
2 202038
3 202133
4 201032
5 201631
6 201825
7 201420
8 201820
9 201614
10 201012
11 200912
12 202012
13 202110
14 201210
15 201410
16 201010
17
The role of endotoxin in the pathogenesis of experimental multiple system organ failure: a preliminary report.
19927
18 20156
19 20226
20 20196

About Fen Lan

Fen Lan is a scholar working on Molecular Biology, Immunology, Oncology, Pulmonary and Respiratory Medicine and Physiology, having authored 36 papers that have together received 394 indexed citations. Recurring topics across this work include Lung Cancer Diagnosis and Treatment (4 papers), Lung Cancer Treatments and Mutations (4 papers), Eosinophilic Disorders and Syndromes (3 papers), Immune Response and Inflammation (3 papers), Lung Cancer Research Studies (3 papers), Galectins and Cancer Biology (2 papers), Natural product bioactivities and synthesis (2 papers) and Asthma and respiratory diseases (2 papers). The work is most often cited by research in Microbiology (4 citations), Immunology (98 citations), Microbiology (26 citations), Internal Medicine (15 citations) and Cancer Research (50 citations). Fen Lan has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Huahao Shen, Shaobin Wang, Weining Xiong, Wen Li, Zhihua Chen, Yang Xia, Xiaoxia Lü, Guopeng Xu, Peng Zuo and Chao Cao. Their work appears in journals such as Frontiers in Oncology, Food Research International, Recent Patents on Anti-Cancer Drug Discovery, European Respiratory Journal and COPD Journal of Chronic Obstructive Pulmonary Disease.

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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