Ching‐Fu Tu

634 citations
48 papers · 531 · h-index 12

Impact in

Papers in

    • Animal Genetics and Reproduction 20
    • Virus-based gene therapy research 13
    • Xenotransplantation and immune response 15
    • Pancreatic function and diabetes 5

Ching‐Fu Tu

45 papers receiving 505 citations

Peers

Ching‐Fu Tu
Comparison fields: 5 of 81
  • Genetics 246
  • Public Health, Environmental and Occupational Health 142
  • Molecular Biology 338
  • Animal Science and Zoology 40
  • Aging 6
Replace Joshua A. Benne with:
Joshua A. Benne United States
Peter M. Jobst United States
Junsong Shi China
Benjamin P. Beaton United States
Soichi KAGEYAMA Japan
Juana M. Flores Spain
Akira MINAMIHASHI Japan
Adrian Ángel Mutto Argentina
Luciana Relly Bertolini Brazil
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Citations per field
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Citations per year

Countries citing papers authored by Ching‐Fu Tu

Since Specialization
Citations

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

Fields of papers citing papers by Ching‐Fu Tu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200398
2 201645
3 201924
4 201323
5 201123
6 201320
7 201519
8 201319
9 200416
10 200616
11 201214
12 201313
13 200112
14 200212
15 200512
16 202211
17 200611
18 200011
19 201610
20 200810

About Ching‐Fu Tu

Ching‐Fu Tu is a scholar working on Genetics, Surgery, Molecular Biology, Public Health, Environmental and Occupational Health and Animal Science and Zoology, having authored 48 papers that have together received 531 indexed citations. Recurring topics across this work include Animal Genetics and Reproduction (20 papers), Xenotransplantation and immune response (15 papers), Virus-based gene therapy research (13 papers), Pluripotent Stem Cells Research (11 papers), CRISPR and Genetic Engineering (10 papers), Reproductive Biology and Fertility (7 papers), Viral Infectious Diseases and Gene Expression in Insects (6 papers) and Pancreatic function and diabetes (5 papers). The work is most often cited by research in Genetics (246 citations), Public Health, Environmental and Occupational Health (142 citations), Molecular Biology (338 citations), Animal Science and Zoology (40 citations) and Aging (6 citations). Ching‐Fu Tu has collaborated with scholars based in Taiwan, Japan and United States. Frequent co-authors include Chin-Kai Chuang, Kun‐Hsiung Lee, Chien‐Hong Chen, Yuling Sun, Shinn‐Chih Wu, J.W. Riesen, Thomas A Hoagland, Michele R. Barber, Xiangzhong Yang and Winston Teng-Kuei Cheng. Their work appears in journals such as Xenotransplantation, Journal of Biomedical Science, Animal Reproduction Science, Theriogenology and Animal Bioscience.

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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