Ching‐Fu Tu

618 citations
48 papers · 503 · h-index 13

Impact in

Papers in

    • CRISPR and Genetic Engineering 11
    • Pluripotent Stem Cells Research 11
    • Viral Infectious Diseases and Gene Expression in Insects 7
    • Animal Genetics and Reproduction 21
    • Virus-based gene therapy research 15

Ching‐Fu Tu

46 papers receiving 486 citations

Peers

Ching‐Fu Tu
Comparison fields: 5 of 82
  • Genetics 236
  • Public Health, Environmental and Occupational Health 142
  • Molecular Biology 334
  • Animal Science and Zoology 37
  • Aging 5
Replace Joshua A. Benne with:
Joshua A. Benne United States
Peter Jobst United States
Junsong Shi China
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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 200396
2 201638
3 201923
4 201321
5 201120
6 201320
7 201319
8 201519
9 200416
10 200615
11 201213
12 201312
13 200512
14 200112
15 200611
16 200011
17 200810
18 20229
19 20179
20 20029

About Ching‐Fu Tu

Ching‐Fu Tu is a scholar working on Molecular Biology, Genetics, Surgery, Public Health, Environmental and Occupational Health and Animal Science and Zoology, having authored 48 papers that have together received 503 indexed citations. Recurring topics across this work include Animal Genetics and Reproduction (21 papers), Virus-based gene therapy research (15 papers), Xenotransplantation and immune response (15 papers), CRISPR and Genetic Engineering (11 papers), Pluripotent Stem Cells Research (11 papers), Reproductive Biology and Fertility (7 papers), Viral Infectious Diseases and Gene Expression in Insects (7 papers) and Pancreatic function and diabetes (5 papers). The work is most often cited by research in Genetics (236 citations), Public Health, Environmental and Occupational Health (142 citations), Molecular Biology (334 citations), Animal Science and Zoology (37 citations) and Aging (5 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, Shinn‐Chih Wu, Chien‐Hong Chen, Michele Barber, Xiuchun Tian, J.W. Riesen, T.A. Hoagland, Jang-Won Lee and Yuling Sun. Their work appears in journals such as Theriogenology, Animal Reproduction Science, Animal Bioscience, Xenotransplantation and Journal of Biomedical Science.

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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