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 16
- Genetic Mapping and Diversity in Plants and Animals 6
- Genetic Syndromes and Imprinting 5
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- Chromosomal and Genetic Variations 12
- Plant Disease Resistance and Genetics 9
- Plant Virus Research Studies 5
- Co-authors
- Dan S. Nettleton (5 shared papers)Patrick S. Schnable (3 shared papers)Cheng‐Ting Yeh (2 shared papers)Kai Ying (2 shared papers)Yan Fu (2 shared papers)Yi Ming Jia (2 shared papers)Rocío Melissa Rivera (8 shared papers)Darren E. Hagen (4 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (3 papers)BMC Bioinformatics (3 papers)Statistical Applications in Genetics and Molecular Biology (3 papers)Cellular Reprogramming (2 papers)The Plant Cell (2 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Tieming Ji
45 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 97
- Plant Science 849
- Genetics 570
- Molecular Biology 663
- Pediatrics, Perinatology and Child Health 127
- Agronomy and Crop Science 64
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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 431 | |
| 2 | 2009 | 167 | |
| 3 | 2015 | 110 | |
| 4 | 2009 | 107 | |
| 5 | 2015 | 65 | |
| 6 | 2011 | 63 | |
| 7 | 2021 | 52 | |
| 8 | 2016 | 48 | |
| 9 | 2018 | 46 | |
| 10 | 2018 | 45 | |
| 11 | 2015 | 43 | |
| 12 | 2019 | 28 | |
| 13 | 2017 | 26 | |
| 14 | 2021 | 25 | |
| 15 | 2021 | 23 | |
| 16 | 2012 | 21 | |
| 17 | 2018 | 19 | |
| 18 | 2019 | 17 | |
| 19 | 2016 | 17 | |
| 20 | 2020 | 16 |
About Tieming Ji
Tieming Ji is a scholar working on Genetics, Plant Science, Molecular Biology, Cancer Research and Pediatrics, Perinatology and Child Health, having authored 45 papers that have together received 1.6k indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (12 papers), Plant Disease Resistance and Genetics (9 papers), Genetic Mapping and Diversity in Plants and Animals (6 papers), Plant Virus Research Studies (5 papers), Gene expression and cancer classification (5 papers), Genetic Syndromes and Imprinting (5 papers), Birth, Development, and Health (4 papers) and Epigenetics and DNA Methylation (4 papers). The work is most often cited by research in Plant Science (849 citations), Genetics (570 citations), Molecular Biology (663 citations), Pediatrics, Perinatology and Child Health (127 citations) and Agronomy and Crop Science (64 citations). Tieming Ji has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Dan S. Nettleton, Patrick S. Schnable, Cheng‐Ting Yeh, Kai Ying, Yan Fu, Yi Ming Jia, Rocío Melissa Rivera, Darren E. Hagen, W. Brad Barbazuk and Jeffrey A. Jeddeloh. Their work appears in journals such as Proceedings of the National Academy of Sciences, BMC Bioinformatics, Statistical Applications in Genetics and Molecular Biology, Cellular Reprogramming 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.