W. T. K. Cheng

584 citations
26 papers · 463 indexed · h-index 13

W. T. K. Cheng

22 papers receiving 439 citations

Peers

W. T. K. Cheng
Comparison fields: 5 of 71
  • Reproductive Medicine 191
  • Public Health, Environmental and Occupational Health 217
  • Animal Science and Zoology 72
  • Genetics 136
  • Agronomy and Crop Science 32
Replace Maíra Bianchi Rodrigues Alves with:
Maíra Bianchi Rodrigues Alves Brazil
Ikko Kawashima Japan
Byeong-Chun Lee South Korea
Xiang‐Dong Zi China
A.A. Vireque Brazil
Weber Beringui Feitosa Brazil
Zofia E. Madeja Poland
Inês Cristina Giometti Brazil
W. T. K. Cheng relative to Maíra Bianchi Rodrigues Alves Brazil Maíra Bianchi Rodrigues Alves's profile →
Citations per field
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Maíra Bianchi Rodrigues Alves · 1×
Citations per year

Countries citing papers authored by W. T. K. Cheng

Since Specialization
Citations

This map shows the geographic impact of W. T. K. Cheng'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 W. T. K. Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites W. T. K. Cheng more than expected).

Fields of papers citing papers by W. T. K. Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by W. T. K. Cheng. 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 W. T. K. Cheng. The network helps show where W. T. K. Cheng may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20251
4 20250
5 20240
6 20246
7 201324
8 201129
9 20115
10 201024
11
Transposons as nonviral, integrating gene vector systems.
20091
12 200922
13 200858
14 200730
15 200726
16 200632
17 200519
18
(Hum. Gene Ther., 09(14):1995-2003)Use of Nonautologous Microencapsulated Fibroblasts in Growth Hormone Gene Therapy to Improve Growth of Midget Swine
19987
19 198685
20 198529

About W. T. K. Cheng

W. T. K. Cheng is a scholar working on Reproductive Medicine, Animal Science and Zoology and Genetics, having authored 26 papers that have together received 463 indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (8 papers), Sperm and Testicular Function (6 papers), Animal Genetics and Reproduction (6 papers), Pluripotent Stem Cells Research (3 papers), RNA modifications and cancer (3 papers), Ovarian function and disorders (2 papers), Molecular Biology Techniques and Applications (2 papers) and Peroxisome Proliferator-Activated Receptors (2 papers). The work is most often cited by research in Reproductive Medicine (191 citations), Public Health, Environmental and Occupational Health (217 citations) and Animal Science and Zoology (72 citations). W. T. K. Cheng has collaborated with scholars based in Taiwan, China and Slovakia. Frequent co-authors include D. G. Cran, C. C. Yang, Shinn‐Chih Wu, Caroline Brown, Ching‐Chi Hsu, Shih‐Torng Ding, Eric Lin, H. Sunny Sun, H. J. Mersmann and Yafei Hu. Their work appears in journals such as Journal of Dairy Science, Journal of Animal Science and Reproduction.

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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