Jun Teng
Impact in
- Genetics top 5%
- Genetic Associations and Epidemiology
- Genetic Mapping and Diversity in Plants and Animals
- Genetic and phenotypic traits in livestock
- Genomic variations and chromosomal abnormalities
- Molecular Biology top 10%
- Advanced biosensing and bioanalysis techniques
Papers in
-
- Advanced biosensing and bioanalysis techniques 11
- Genetics 14
- Genetic Mapping and Diversity in Plants and Animals 12
- Genetic and phenotypic traits in livestock 10
- Genetic Associations and Epidemiology 3
- Co-authors
- Neil Risch (2 shared papers)Wei Chen (13 shared papers)Yao Li (9 shared papers)Yingwang Ye (5 shared papers)Guodong Liu (4 shared papers)Daodong Pan (5 shared papers)Feng Xue (5 shared papers)David Siegmund (2 shared papers)
- Journals
- Biosensors and Bioelectronics (3 papers)Microchimica Acta (3 papers)Journal of Dairy Science (3 papers)Genome Research (2 papers)Microchemical Journal (1 paper)
- Partner nations
- ChinaUnited StatesBangladesh
In The Last Decade
Jun Teng
34 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 99
- Genetics 451
- Molecular Biology 737
- Biomedical Engineering 426
- Endocrinology 36
- Electrochemistry 42
Countries citing papers authored by Jun Teng
This map shows the geographic impact of Jun Teng'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 Jun Teng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Teng more than expected).
Fields of papers citing papers by Jun Teng
This network shows the impact of papers produced by Jun Teng. 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 Jun Teng. The network helps show where Jun Teng may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Teng, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 310 | |
| 2 | 2016 | 98 | |
| 3 | 1999 | 95 | |
| 4 | 2018 | 93 | |
| 5 | 2016 | 79 | |
| 6 | 2016 | 77 | |
| 7 | 2017 | 56 | |
| 8 | 2017 | 55 | |
| 9 | 2020 | 35 | |
| 10 | 2015 | 30 | |
| 11 | 1998 | 30 | |
| 12 | 2020 | 30 | |
| 13 | 2016 | 28 | |
| 14 | Combining information within and between pedigrees for mapping complex traits. | 1997 | 24 |
| 15 | 2022 | 23 | |
| 16 | 2014 | 23 | |
| 17 | 2023 | 19 | |
| 18 | 2020 | 18 | |
| 19 | 2016 | 13 | |
| 20 | 2021 | 12 |
About Jun Teng
Jun Teng is a scholar working on Molecular Biology, Genetics, Cancer Research, Biomedical Engineering and Plant Science, having authored 35 papers that have together received 1.2k indexed citations. Recurring topics across this work include Genetic Mapping and Diversity in Plants and Animals (12 papers), Biosensors and Analytical Detection (12 papers), Advanced biosensing and bioanalysis techniques (11 papers), Genetic and phenotypic traits in livestock (10 papers), Cancer-related molecular mechanisms research (9 papers), MicroRNA in disease regulation (4 papers), Genetic Associations and Epidemiology (3 papers) and Vibrio bacteria research studies (3 papers). The work is most often cited by research in Genetics (451 citations), Molecular Biology (737 citations), Biomedical Engineering (426 citations), Endocrinology (36 citations) and Electrochemistry (42 citations). Jun Teng has collaborated with scholars based in China, United States and Bangladesh. Frequent co-authors include Neil Risch, Wei Chen, Yao Li, Yingwang Ye, Guodong Liu, Daodong Pan, Feng Xue, David Siegmund, Baoguang Li and Chao Yan. Their work appears in journals such as Biosensors and Bioelectronics, Microchimica Acta, Journal of Dairy Science, Genome Research and Microchemical Journal.
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.