Lan Fu

615 citations
33 papers · 412 · h-index 11

Impact in

Papers in

    • Cancer survivorship and care 14
    • Lymphatic System and Diseases 3
    • Pancreatitis Pathology and Treatment 2
    • Hemodynamic Monitoring and Therapy 2

Lan Fu

32 papers receiving 405 citations

Peers

Lan Fu
Comparison fields: 5 of 104
  • Clinical Psychology 125
  • Toxicology 20
  • Oncology 109
  • Applied Psychology 18
  • General Health Professions 89
Replace Chao-Ming Hung with:
Chao-Ming Hung Taiwan
Hongmei Tao China
Christian Keinki Germany
Anna Lewandowska Poland
William Smith United States
Sun-Mi Cho South Korea
Momen Elshazley Japan
Jenny Jakobsson Sweden
Jeffrey Zuber United States
Xiaosong Yu China
Lan Fu relative to Chao-Ming Hung Taiwan Chao-Ming Hung's profile →
Citations per field
00.5×2.7×
Chao-Ming Hung · 1×
Citations per year

Countries citing papers authored by Lan Fu

Since Specialization
Citations

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

Fields of papers citing papers by Lan Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020135
2 201845
3 201938
4 202327
5 201821
6 201915
7 202014
8 202213
9 202311
10 202410
11 201710
12 20229
13 20179
14 20248
15 20247
16 20235
17 20245
18 20124
19 20234
20 20244

About Lan Fu

Lan Fu is a scholar working on Oncology, Surgery, Molecular Biology, General Health Professions and Sociology and Political Science, having authored 33 papers that have together received 412 indexed citations. Recurring topics across this work include Cancer survivorship and care (14 papers), Family Support in Illness (5 papers), Childhood Cancer Survivors' Quality of Life (4 papers), Lymphatic System and Diseases (3 papers), Cancer-related cognitive impairment studies (3 papers), Cell death mechanisms and regulation (3 papers), Pancreatitis Pathology and Treatment (2 papers) and Hemodynamic Monitoring and Therapy (2 papers). The work is most often cited by research in Clinical Psychology (125 citations), Toxicology (20 citations), Oncology (109 citations), Applied Psychology (18 citations) and General Health Professions (89 citations). Lan Fu has collaborated with scholars based in China and United States. Frequent co-authors include Junying Li, Tao Lin, Huaxin Hou, Danrong Li, Wei Tian, Huaying Chen, Lei Ye, Rong Deng, Yuhong Zhou and Mei Feng. Their work appears in journals such as Journal of Clinical Nursing, BMJ Open, Scientific Reports, Frontiers in Psychiatry and Journal of Medical Primatology.

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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