Leiping Fu

856 citations
14 papers · 651 · h-index 12

Impact in

    • Cancer, Hypoxia, and Metabolism
  • Epidemiology top 10%
    • Cervical Cancer and HPV Research
    • Hepatitis B Virus Studies

Papers in

    • Epigenetics and DNA Methylation 2
    • Renal and related cancers 2
    • Molecular Biology Techniques and Applications 2
    • Cancer, Hypoxia, and Metabolism 7

Leiping Fu

14 papers receiving 645 citations

Peers

Leiping Fu
Comparison fields: 5 of 70
  • Cancer Research 189
  • Epidemiology 311
  • Microbiology 43
  • Pulmonary and Respiratory Medicine 109
  • Molecular Biology 242
Replace Amira El‐Sherif with:
Amira El‐Sherif United Kingdom
Kerstin Pischinger Austria
Christine Carreira France
Sandra Kolkman-Uljee Netherlands
H Teshima Japan
Óscar Del Moral-Hernández Mexico
Nicole A. Spardy United States
Chenhao Zhou Australia
Elisabeth Schultheiss Switzerland
Selena Y. Lin United States
Leiping Fu relative to Amira El‐Sherif United Kingdom Amira El‐Sherif's profile →
Citations per field
00.5×4.2×
Amira El‐Sherif · 1×
Citations per year

Countries citing papers authored by Leiping Fu

Since Specialization
Citations

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

Fields of papers citing papers by Leiping Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2005131
2
Distribution of human papillomavirus types 16 and 18 variants in squamous cell carcinomas and adenocarcinomas of the cervix.
2003126
3 201477
4 201175
5 201055
6 201647
7 201334
8 201927
9 201526
10 201519
11 202414
12 200711
13 20046
14 20233

About Leiping Fu

Leiping Fu is a scholar working on Molecular Biology, Cancer Research, Epidemiology, Pulmonary and Respiratory Medicine and Ophthalmology, having authored 14 papers that have together received 651 indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (7 papers), Cervical Cancer and HPV Research (5 papers), Renal cell carcinoma treatment (3 papers), Epigenetics and DNA Methylation (2 papers), Hepatitis B Virus Studies (2 papers), Renal and related cancers (2 papers), Molecular Biology Techniques and Applications (2 papers) and Endometrial and Cervical Cancer Treatments (1 paper). The work is most often cited by research in Cancer Research (189 citations), Epidemiology (311 citations), Microbiology (43 citations), Pulmonary and Respiratory Medicine (109 citations) and Molecular Biology (242 citations). Leiping Fu has collaborated with scholars based in United States, Costa Rica and Netherlands. Frequent co-authors include Lorraine J. Gudas, David M. Nanus, Robert D. Burk, Masanori Terai, Zigui Chen, Denise R. Minton, Maria M. Shevchuk, Rolando Herrero, Nigel P. Mongan and Rob DeSalle. Their work appears in journals such as PLoS ONE, Cancer Research, The Journal of Infectious Diseases, Journal of Virology and Clinical Cancer Research.

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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