Qi Ding
Impact in
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- Neurobiology and Insect Physiology Research
- Insect Science top 5%
- Insect Utilization and Effects
Papers in
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- Hedgehog Signaling Pathway Studies 4
- Epigenetics and DNA Methylation 2
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- Neurobiology and Insect Physiology Research 7
- Co-authors
- Rong Mo (2 shared papers)Jun Motoyama (2 shared papers)Stephen S. Tobe (7 shared papers)Chi‐chung Hui (2 shared papers)Hiroshi Sasaki (2 shared papers)Martin Post (1 shared paper)Jason Liu (1 shared paper)William G. Bendena (3 shared papers)
- Journals
- Journal of Insect Physiology (2 papers)Proceedings of the National Academy of Sciences (2 papers)Nature Genetics (1 paper)Current Biology (1 paper)European Journal of Biochemistry (1 paper)
- Partner nations
- CanadaChinaUnited States
In The Last Decade
Qi Ding
23 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 88
- Cellular and Molecular Neuroscience 474
- Insect Science 240
- Molecular Biology 1.2k
- Genetics 497
- Developmental Neuroscience 66
Countries citing papers authored by Qi Ding
This map shows the geographic impact of Qi Ding'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 Qi Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qi Ding more than expected).
Fields of papers citing papers by Qi Ding
This network shows the impact of papers produced by Qi Ding. 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 Qi Ding. The network helps show where Qi Ding may publish in the future.
Co-authors
The 25 scholars most cited alongside Qi Ding, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 426 | |
| 2 | 1998 | 375 | |
| 3 | 1999 | 178 | |
| 4 | 1993 | 145 | |
| 5 | 2001 | 103 | |
| 6 | 1999 | 77 | |
| 7 | 1991 | 71 | |
| 8 | 1995 | 70 | |
| 9 | 2012 | 68 | |
| 10 | 1995 | 61 | |
| 11 | 2013 | 60 | |
| 12 | 2021 | 35 | |
| 13 | 2007 | 31 | |
| 14 | 2016 | 26 | |
| 15 | 1991 | 25 | |
| 16 | 2021 | 22 | |
| 17 | 2021 | 21 | |
| 18 | 1994 | 21 | |
| 19 | 2024 | 10 | |
| 20 | 2009 | 7 |
About Qi Ding
Qi Ding is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Genetics, Health, Toxicology and Mutagenesis and Insect Science, having authored 24 papers that have together received 1.8k indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (7 papers), Insect and Arachnid Ecology and Behavior (5 papers), Hedgehog Signaling Pathway Studies (4 papers), Insect Utilization and Effects (3 papers), Epigenetics and DNA Methylation (2 papers), Toxic Organic Pollutants Impact (2 papers), Cancer-related molecular mechanisms research (2 papers) and Effects and risks of endocrine disrupting chemicals (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (474 citations), Insect Science (240 citations), Molecular Biology (1.2k citations), Genetics (497 citations) and Developmental Neuroscience (66 citations). Qi Ding has collaborated with scholars based in Canada, China and United States. Frequent co-authors include Rong Mo, Jun Motoyama, Stephen S. Tobe, Chi‐chung Hui, Hiroshi Sasaki, Martin Post, Jason Liu, William G. Bendena, Chi-chung Hui and Janet Rossant. Their work appears in journals such as Journal of Insect Physiology, Proceedings of the National Academy of Sciences, Nature Genetics, Current Biology and European Journal of Biochemistry.
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.