Tieming Ji
Impact in
- Plant Science top 5%
- Chromosomal and Genetic Variations
- Plant Disease Resistance and Genetics
- Plant Molecular Biology Research
- Legume Nitrogen Fixing Symbiosis
- Genetics top 5%
- Genetic Mapping and Diversity in Plants and Animals
Papers in
-
- Gene expression and cancer classification 5
- Epigenetics and DNA Methylation 4
- Genetics 16
- Genetic Mapping and Diversity in Plants and Animals 6
- Genetic Syndromes and Imprinting 5
- Co-authors
- Dan Nettleton (5 shared papers)Patrick S. Schnable (3 shared papers)Yan Fu (2 shared papers)Cheng‐Ting Yeh (2 shared papers)Kai Ying (2 shared papers)Yi Jia (2 shared papers)Rocío Melissa Rivera (8 shared papers)Darren E. Hagen (4 shared papers)
- Journals
- BMC Bioinformatics (3 papers)Statistical Applications in Genetics and Molecular Biology (3 papers)Epigenetics (2 papers)Scientific Reports (2 papers)The Plant Cell (2 papers)
- Partner nations
- United StatesChinaVietnam
In The Last Decade
Tieming Ji
44 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 96
- Plant Science 787
- Genetics 534
- Molecular Biology 628
- Pediatrics, Perinatology and Child Health 125
- Agronomy and Crop Science 63
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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 418 | |
| 2 | 2009 | 168 | |
| 3 | 2015 | 108 | |
| 4 | 2009 | 105 | |
| 5 | 2011 | 63 | |
| 6 | 2015 | 62 | |
| 7 | 2016 | 48 | |
| 8 | 2018 | 44 | |
| 9 | 2015 | 42 | |
| 10 | 2018 | 42 | |
| 11 | 2017 | 26 | |
| 12 | 2019 | 26 | |
| 13 | 2021 | 24 | |
| 14 | 2021 | 22 | |
| 15 | 2012 | 21 | |
| 16 | 2018 | 19 | |
| 17 | 2016 | 18 | |
| 18 | 2016 | 16 | |
| 19 | 2019 | 16 | |
| 20 | 2018 | 15 |
About Tieming Ji
Tieming Ji is a scholar working on Molecular Biology, Genetics, Plant Science, Pediatrics, Perinatology and Child Health and Cancer Research, having authored 44 papers that have together received 1.5k indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (11 papers), Plant Disease Resistance and Genetics (8 papers), Genetic Mapping and Diversity in Plants and Animals (6 papers), Gene expression and cancer classification (5 papers), Genetic Syndromes and Imprinting (5 papers), Epigenetics and DNA Methylation (4 papers), Plant Virus Research Studies (4 papers) and Birth, Development, and Health (4 papers). The work is most often cited by research in Plant Science (787 citations), Genetics (534 citations), Molecular Biology (628 citations), Pediatrics, Perinatology and Child Health (125 citations) and Agronomy and Crop Science (63 citations). Tieming Ji has collaborated with scholars based in United States, China and Vietnam. Frequent co-authors include Dan Nettleton, Patrick S. Schnable, Yan Fu, Cheng‐Ting Yeh, Kai Ying, Yi Jia, Rocío Melissa Rivera, Darren E. Hagen, Christine G. Elsik and Jeffrey A. Jeddeloh. Their work appears in journals such as BMC Bioinformatics, Statistical Applications in Genetics and Molecular Biology, Epigenetics, Scientific Reports and The Plant Cell.
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.