Ling Jia
Impact in
- Molecular Medicine top 10%
Papers in
-
- Insect Resistance and Genetics 5
- Genomics and Chromatin Dynamics 5
-
- Weed Control and Herbicide Applications 5
- Co-authors
- Ningjia He (6 shared papers)Fei Ye (5 shared papers)Ying Fu (5 shared papers)Zhonghuai Xiang (5 shared papers)Lixia Zhao (3 shared papers)Stephen Small (4 shared papers)Xiwu Qi (3 shared papers)Dayan Zhang (2 shared papers)
- Journals
- Journal of Agricultural and Food Chemistry (4 papers)Genes & Development (2 papers)Bioorganic Chemistry (2 papers)Frontiers in Microbiology (2 papers)Insects (2 papers)
- Partner nations
- ChinaUnited StatesEthiopia
In The Last Decade
Ling Jia
56 papers receiving 843 citations
Peers
Comparison fields: 5 of 114
- Aging 17
- Molecular Medicine 38
- Pollution 89
- Plant Science 246
- Molecular Biology 428
Countries citing papers authored by Ling Jia
This map shows the geographic impact of Ling Jia'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 Ling Jia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ling Jia more than expected).
Fields of papers citing papers by Ling Jia
This network shows the impact of papers produced by Ling Jia. 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 Ling Jia. The network helps show where Ling Jia may publish in the future.
Co-authors
The 25 scholars most cited alongside Ling Jia, 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 62 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 114 | |
| 2 | 2014 | 75 | |
| 3 | 2022 | 69 | |
| 4 | 2013 | 54 | |
| 5 | 2021 | 46 | |
| 6 | 2018 | 45 | |
| 7 | 2014 | 44 | |
| 8 | 2011 | 31 | |
| 9 | 2015 | 30 | |
| 10 | 2019 | 20 | |
| 11 | 2011 | 20 | |
| 12 | 2018 | 19 | |
| 13 | 2022 | 19 | |
| 14 | 2023 | 18 | |
| 15 | 2022 | 15 | |
| 16 | 2022 | 15 | |
| 17 | 2019 | 14 | |
| 18 | 2023 | 13 | |
| 19 | 2022 | 13 | |
| 20 | 2020 | 12 |
About Ling Jia
Ling Jia is a scholar working on Molecular Biology, Plant Science, Molecular Medicine, Immunology and Insect Science, having authored 62 papers that have together received 856 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (7 papers), Invertebrate Immune Response Mechanisms (6 papers), Insect Resistance and Genetics (5 papers), Genomics and Chromatin Dynamics (5 papers), Pesticide and Herbicide Environmental Studies (5 papers), Weed Control and Herbicide Applications (5 papers), Silkworms and Sericulture Research (4 papers) and Silk-based biomaterials and applications (4 papers). The work is most often cited by research in Aging (17 citations), Molecular Medicine (38 citations), Pollution (89 citations), Plant Science (246 citations) and Molecular Biology (428 citations). Ling Jia has collaborated with scholars based in China, United States and Ethiopia. Frequent co-authors include Ningjia He, Fei Ye, Ying Fu, Zhonghuai Xiang, Lixia Zhao, Stephen Small, Xiwu Qi, Dayan Zhang, Bi Ma and Paolo Struffi. Their work appears in journals such as Journal of Agricultural and Food Chemistry, Genes & Development, Bioorganic Chemistry, Frontiers in Microbiology and Insects.
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.