Ben Huang
Impact in
- Reproductive Medicine top 10%
- Sperm and Testicular Function
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- Reproductive Biology and Fertility
Papers in
-
- Pluripotent Stem Cells Research 21
- CRISPR and Genetic Engineering 9
- Renal and related cancers 5
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- Reproductive Biology and Fertility 18
- Co-authors
- Björn Oback (3 shared papers)Deshun Shi (18 shared papers)Vinod Verma (4 shared papers)Tong Li (2 shared papers)Mengmei Li (9 shared papers)Chunsheng Wang (3 shared papers)Kuiqing Cui (6 shared papers)Sarah Keatley (1 shared paper)
- Journals
- Reproduction in Domestic Animals (14 papers)Asian-Australasian Journal of Animal Sciences (2 papers)Frontiers in Cell and Developmental Biology (2 papers)Frontiers in Genetics (2 papers)Biochemical and Biophysical Research Communications (1 paper)
- Partner nations
- ChinaNew ZealandIndia
In The Last Decade
Ben Huang
41 papers receiving 439 citations
Peers
Comparison fields: 5 of 64
- Reproductive Medicine 62
- Public Health, Environmental and Occupational Health 150
- Genetics 143
- Molecular Biology 299
- Aging 5
Countries citing papers authored by Ben Huang
This map shows the geographic impact of Ben Huang'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 Ben Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ben Huang more than expected).
Fields of papers citing papers by Ben Huang
This network shows the impact of papers produced by Ben Huang. 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 Ben Huang. The network helps show where Ben Huang may publish in the future.
Co-authors
The 25 scholars most cited alongside Ben Huang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 62 | |
| 2 | 2013 | 34 | |
| 3 | 2008 | 30 | |
| 4 | 2008 | 29 | |
| 5 | 2013 | 25 | |
| 6 | 2021 | 24 | |
| 7 | 2023 | 19 | |
| 8 | 2021 | 15 | |
| 9 | 2018 | 15 | |
| 10 | 2020 | 15 | |
| 11 | 2019 | 14 | |
| 12 | 2019 | 14 | |
| 13 | 2007 | 13 | |
| 14 | 2020 | 10 | |
| 15 | 2017 | 10 | |
| 16 | 2024 | 10 | |
| 17 | 2015 | 8 | |
| 18 | 2017 | 8 | |
| 19 | 2008 | 8 | |
| 20 | 2018 | 7 |
About Ben Huang
Ben Huang is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Genetics, Cancer Research and Surgery, having authored 41 papers that have together received 444 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (21 papers), Reproductive Biology and Fertility (18 papers), Animal Genetics and Reproduction (12 papers), CRISPR and Genetic Engineering (9 papers), Renal and related cancers (5 papers), MicroRNA in disease regulation (5 papers), Cancer-related molecular mechanisms research (5 papers) and Sperm and Testicular Function (4 papers). The work is most often cited by research in Reproductive Medicine (62 citations), Public Health, Environmental and Occupational Health (150 citations), Genetics (143 citations), Molecular Biology (299 citations) and Aging (5 citations). Ben Huang has collaborated with scholars based in China, New Zealand and India. Frequent co-authors include Björn Oback, Deshun Shi, Vinod Verma, Tong Li, Mengmei Li, Chunsheng Wang, Kuiqing Cui, Sarah Keatley, Deshun Shi and Dandan Zhang. Their work appears in journals such as Reproduction in Domestic Animals, Asian-Australasian Journal of Animal Sciences, Frontiers in Cell and Developmental Biology, Frontiers in Genetics and Biochemical and Biophysical Research Communications.
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.