Jiabing Ji
Impact in
- Plant Science top 5%
- Plant Molecular Biology Research
- Plant-Microbe Interactions and Immunity
- Plant nutrient uptake and metabolism
- Immunology top 10%
- Immune Response and Inflammation
- interferon and immune responses
Papers in
-
- Plant Molecular Biology Research 3
- Genetics and Plant Breeding 2
- Plant-Microbe Interactions and Immunity 2
-
- Plant Gene Expression Analysis 2
- Plant Reproductive Biology 2
- RNA and protein synthesis mechanisms 1
- Co-authors
- Michael J. Scanlon (3 shared papers)Rena Shimizu (2 shared papers)Wolfgang Werr (1 shared paper)Judith Nardmann (1 shared paper)Daniel Koenig (1 shared paper)Josh Strable (1 shared paper)Neelima Sinha (1 shared paper)Rong‐Fu Wang (2 shared papers)
- Journals
- PLANT PHYSIOLOGY (2 papers)Analytical Biochemistry (1 paper)Theoretical and Applied Genetics (1 paper)Genetics (1 paper)Cell (1 paper)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Jiabing Ji
12 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 94
- Plant Science 715
- Immunology 272
- Molecular Biology 658
- Horticulture 5
- Genetics 116
Countries citing papers authored by Jiabing Ji
This map shows the geographic impact of Jiabing 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 Jiabing Ji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiabing Ji more than expected).
Fields of papers citing papers by Jiabing Ji
This network shows the impact of papers produced by Jiabing 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 Jiabing Ji. The network helps show where Jiabing Ji may publish in the future.
Co-authors
The 25 scholars most cited alongside Jiabing 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
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 365 | |
| 2 | 2009 | 214 | |
| 3 | 2004 | 189 | |
| 4 | 2015 | 113 | |
| 5 | 2008 | 110 | |
| 6 | 2014 | 58 | |
| 7 | 2012 | 41 | |
| 8 | 2010 | 41 | |
| 9 | 2011 | 23 | |
| 10 | 2012 | 17 | |
| 11 | 2014 | 5 | |
| 12 | 2012 | 1 | |
| 13 | 2012 | 1 |
About Jiabing Ji
Jiabing Ji is a scholar working on Plant Science, Molecular Biology, Genetics, Computational Mechanics and Numerical Analysis, having authored 13 papers that have together received 1.2k indexed citations. Recurring topics across this work include Genetic Mapping and Diversity in Plants and Animals (3 papers), Plant Molecular Biology Research (3 papers), Plant Gene Expression Analysis (2 papers), Plant Reproductive Biology (2 papers), Sparse and Compressive Sensing Techniques (2 papers), Genetics and Plant Breeding (2 papers), Plant-Microbe Interactions and Immunity (2 papers) and RNA and protein synthesis mechanisms (1 paper). The work is most often cited by research in Plant Science (715 citations), Immunology (272 citations), Molecular Biology (658 citations), Horticulture (5 citations) and Genetics (116 citations). Jiabing Ji has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Michael J. Scanlon, Rena Shimizu, Wolfgang Werr, Judith Nardmann, Daniel Koenig, Josh Strable, Neelima Sinha, Rong‐Fu Wang, Jun Cui and Xiaojun Xia. Their work appears in journals such as PLANT PHYSIOLOGY, Analytical Biochemistry, Theoretical and Applied Genetics, Genetics and 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.