Yi‐Ping Fu

60 papers receiving 1.5k citations

Peers

Yi‐Ping Fu
Comparison fields: 5 of 119
  • Cancer Research 155
  • Hematology 113
  • Molecular Biology 635
  • Pulmonary and Respiratory Medicine 272
  • Physiology 194
Replace Heidi Rossmann with:
Heidi Rossmann Germany
Guenter Daum United States
Minako Ishibashi Japan
Silke Haerteis Germany
Gabrielle Paulsson‐Berne Sweden
Victoria Hoffmann United States
Tonya Watkins United States
Rok Humar Switzerland
Jane McHowat United States
Jan Hilpert Germany
Yi‐Ping Fu relative to Heidi Rossmann Germany Heidi Rossmann's profile →
Citations per field
00.5×1.6×
Heidi Rossmann · 1×
Citations per year

Countries citing papers authored by Yi‐Ping Fu

Since Specialization
Citations

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

Fields of papers citing papers by Yi‐Ping Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Breast cancer risk associated with genotypic polymorphism of the nonhomologous end-joining genes: a multigenic study on cancer susceptibility.
2003159
2 2003131
3 2000107
4 2000102
5 2010102
6 200497
7 200679
8 199261
9 199461
10 200946
11 200742
12 200441
13 202034
14 201033
15 200230
16 199529
17 199728
18 201128
19 201027
20 201826

About Yi‐Ping Fu

Yi‐Ping Fu is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Genetics, Surgery and Hematology, having authored 61 papers that have together received 1.6k indexed citations. Recurring topics across this work include Erythrocyte Function and Pathophysiology (7 papers), Blood properties and coagulation (7 papers), Hemoglobinopathies and Related Disorders (4 papers), Williams Syndrome Research (4 papers), Platelet Disorders and Treatments (3 papers), RNA Research and Splicing (3 papers), Prostate Cancer Treatment and Research (3 papers) and Epigenetics and DNA Methylation (3 papers). The work is most often cited by research in Cancer Research (155 citations), Hematology (113 citations), Molecular Biology (635 citations), Pulmonary and Respiratory Medicine (272 citations) and Physiology (194 citations). Yi‐Ping Fu has collaborated with scholars based in United States, Taiwan and China. Frequent co-authors include Gerd Grieninger, Chun‐Wen Cheng, Pei‐Ei Wu, Jyh‐Cherng Yu, Chen‐Yang Shen, Jia‐Ching Shieh, Paul Kogut, Blanca Camoretti-Mercado, Julian Solway and Andrew J. Halayko. Their work appears in journals such as Blood, Genome biology, Clinica Chimica Acta, Cochrane Database of Systematic Reviews and American Journal of Respiratory Cell and Molecular 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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