Hu Tan
Impact in
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- Prenatal Screening and Diagnostics
- Fetal and Pediatric Neurological Disorders
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- Genomic variations and chromosomal abnormalities
- Genomics and Rare Diseases
- Genetics and Neurodevelopmental Disorders
- Neurogenetic and Muscular Disorders Research
Papers in
- Genetics 10
- Connective tissue disorders research 3
- Genomics and Rare Diseases 3
- Neurogenetic and Muscular Disorders Research 3
- Genomic variations and chromosomal abnormalities 2
- Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities 2
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- Congenital heart defects research 2
- Co-authors
- Lingqian Wu (22 shared papers)Siyuan Linpeng (8 shared papers)David S. Cram (1 shared paper)Hongmin Zhu (1 shared paper)Fuli Yu (1 shared paper)Feng Tian (1 shared paper)Mengnan Xu (1 shared paper)Desheng Liang (18 shared papers)
In The Last Decade
Hu Tan
29 papers receiving 308 citations
Hu Tan's Hit Papers
Peers
Comparison fields: 5 of 45
- Pediatrics, Perinatology and Child Health 165
- Genetics 95
- Genetics 13
- Clinical Biochemistry 8
- Cancer Research 13
Countries citing papers authored by Hu Tan
This map shows the geographic impact of Hu Tan'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 Hu Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hu Tan more than expected).
Fields of papers citing papers by Hu Tan
This network shows the impact of papers produced by Hu Tan. 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 Hu Tan. The network helps show where Hu Tan may publish in the future.
Co-authors
The 25 scholars most cited alongside Hu Tan, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Clinical utility of noninvasive prenatal screening for expanded chromosome disease syndromes Hit paper breakdown → | 2019 | 168 |
| 2 | 2020 | 14 | |
| 3 | 2016 | 13 | |
| 4 | 2017 | 12 | |
| 5 | 2019 | 11 | |
| 6 | 2018 | 10 | |
| 7 | 2016 | 7 | |
| 8 | 2018 | 7 | |
| 9 | 2018 | 6 | |
| 10 | 2018 | 6 | |
| 11 | 2016 | 5 | |
| 12 | 2015 | 5 | |
| 13 | 2019 | 5 | |
| 14 | 2019 | 5 | |
| 15 | 2015 | 4 | |
| 16 | 2016 | 4 | |
| 17 | 2019 | 4 | |
| 18 | 2020 | 3 | |
| 19 | 2020 | 3 | |
| 20 | 2020 | 3 |
About Hu Tan
Hu Tan is a scholar working on Genetics, Molecular Biology, Genetics, Nephrology and Surgery, having authored 30 papers that have together received 310 indexed citations. Recurring topics across this work include Connective tissue disorders research (3 papers), Genomics and Rare Diseases (3 papers), Neurogenetic and Muscular Disorders Research (3 papers), Congenital heart defects research (2 papers), Genomic variations and chromosomal abnormalities (2 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (2 papers), Prenatal Screening and Diagnostics (2 papers) and Genetic factors in colorectal cancer (2 papers). The work is most often cited by research in Pediatrics, Perinatology and Child Health (165 citations), Genetics (95 citations), Genetics (13 citations), Clinical Biochemistry (8 citations) and Cancer Research (13 citations). Hu Tan has collaborated with scholars based in China, Malaysia and Australia. Frequent co-authors include Lingqian Wu, Siyuan Linpeng, David S. Cram, Hongmin Zhu, Fuli Yu, Feng Tian, Mengnan Xu, Desheng Liang, Yu Zhang and Hua Wang. Their work appears in journals such as Gene, Clinica Chimica Acta, European Journal of Medical Genetics, Nephrology and Eye.
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.