Tieming Ji
Impact in
- Plant Science top 5%
- Chromosomal and Genetic Variations
- Plant Disease Resistance and Genetics
- Plant Molecular Biology Research
- Plant Virus Research Studies
- Genetics top 5%
- Genetic Mapping and Diversity in Plants and Animals
Papers in ⓘ
- Genetics 18
- Genetic Mapping and Diversity in Plants and Animals 8
- Genetic Syndromes and Imprinting 5
- Genetic and phenotypic traits in livestock 4
- Co-authors
- Dan Nettleton (5 shared papers)Patrick S. Schnable (3 shared papers)Kai Ying (2 shared papers)Yan Fu (2 shared papers)Cheng‐Ting Yeh (2 shared papers)Rocío Melissa Rivera (8 shared papers)Yi Jia (2 shared papers)Darren E. Hagen (4 shared papers)
- Journals
- Statistical Applications in Genetics and Molecular Biology (3 papers)BMC Bioinformatics (3 papers)Cellular Reprogramming (2 papers)Scientific Reports (2 papers)Biology of Reproduction (2 papers)
- Partner nations
- United StatesChinaVietnam
In The Last Decade
Tieming Ji
42 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 97
- Plant Science 770
- Genetics 519
- Molecular Biology 641
- Pediatrics, Perinatology and Child Health 132
- Agronomy and Crop Science 53
Countries citing papers authored by Tieming Ji
This map shows the geographic impact of Tieming Ji'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 Tieming Ji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tieming Ji more than expected).
Fields of papers citing papers by Tieming Ji
This network shows the impact of papers produced by Tieming Ji. 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 Tieming Ji. The network helps show where Tieming Ji may publish in the future.
Co-authors
The 25 scholars most cited alongside Tieming Ji, 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 378 | |
| 2 | 2009 | 161 | |
| 3 | 2015 | 106 | |
| 4 | 2009 | 94 | |
| 5 | 2015 | 58 | |
| 6 | 2011 | 56 | |
| 7 | 2016 | 44 | |
| 8 | 2018 | 42 | |
| 9 | 2018 | 40 | |
| 10 | 2015 | 35 | |
| 11 | 2019 | 26 | |
| 12 | 2017 | 24 | |
| 13 | 2021 | 21 | |
| 14 | 2021 | 21 | |
| 15 | 2012 | 20 | |
| 16 | 2018 | 19 | |
| 17 | 2016 | 17 | |
| 18 | 2019 | 16 | |
| 19 | 2018 | 14 | |
| 20 | 2022 | 14 |
About Tieming Ji
Tieming Ji is a scholar working on Genetics, Cancer Research, Plant Science, Molecular Biology and Obstetrics and Gynecology, having authored 42 papers that have together received 1.4k indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (11 papers), Genetic Mapping and Diversity in Plants and Animals (8 papers), Plant Disease Resistance and Genetics (8 papers), Gene expression and cancer classification (6 papers), Genetic Syndromes and Imprinting (5 papers), Genetic and phenotypic traits in livestock (4 papers), Plant Virus Research Studies (4 papers) and Epigenetics and DNA Methylation (4 papers). The work is most often cited by research in Plant Science (770 citations), Genetics (519 citations), Molecular Biology (641 citations), Pediatrics, Perinatology and Child Health (132 citations) and Agronomy and Crop Science (53 citations). Tieming Ji has collaborated with scholars based in United States, China and Vietnam. Frequent co-authors include Dan Nettleton, Patrick S. Schnable, Kai Ying, Yan Fu, Cheng‐Ting Yeh, Rocío Melissa Rivera, Yi Jia, Darren E. Hagen, Christine G. Elsik and A. Leonardo Iniguez. Their work appears in journals such as Statistical Applications in Genetics and Molecular Biology, BMC Bioinformatics, Cellular Reprogramming, Scientific Reports and Biology of 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.