Ji-da Dai
Impact in
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- Neurobiology and Insect Physiology Research
- Insect Science top 5%
- Insect Utilization and Effects
- Insect and Pesticide Research
Papers in
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- Neurobiology and Insect Physiology Research 13
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- Insect Resistance and Genetics 3
- Developmental Biology and Gene Regulation 2
- Co-authors
- Lawrence I. Gilbert (10 shared papers)James T. Warren (4 shared papers)Akira Mizoguchi (3 shared papers)L Gilbert (1 shared paper)Negusse Habtemichael (1 shared paper)Jasmine Wismar (1 shared paper)Elisabeth Gateff (1 shared paper)Shin’Ichiro Satake (1 shared paper)
- Journals
- Insect Biochemistry and Molecular Biology (3 papers)Developmental Biology (3 papers)Cell and Tissue Research (2 papers)Development Genes and Evolution (1 paper)General and Comparative Endocrinology (1 paper)
- Partner nations
- United StatesJapanGermany
In The Last Decade
Ji-da Dai
13 papers receiving 380 citations
Peers
Comparison fields: 5 of 45
- Cellular and Molecular Neuroscience 303
- Insect Science 144
- Aging 15
- Ecology, Evolution, Behavior and Systematics 88
- Genetics 117
Countries citing papers authored by Ji-da Dai
This map shows the geographic impact of Ji-da Dai'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 Ji-da Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ji-da Dai more than expected).
Fields of papers citing papers by Ji-da Dai
This network shows the impact of papers produced by Ji-da Dai. 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 Ji-da Dai. The network helps show where Ji-da Dai may publish in the future.
Co-authors
The 12 scholars most cited alongside Ji-da Dai, 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 | 1991 | 91 | |
| 2 | 1997 | 70 | |
| 3 | 2000 | 47 | |
| 4 | 1996 | 39 | |
| 5 | 1995 | 32 | |
| 6 | 1994 | 29 | |
| 7 | 1999 | 24 | |
| 8 | 1991 | 16 | |
| 9 | 1998 | 14 | |
| 10 | 1999 | 11 | |
| 11 | 1993 | 8 | |
| 12 | 1991 | 3 | |
| 13 | 1992 | 2 | |
| 14 | 2021 | 0 |
About Ji-da Dai
Ji-da Dai is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Genetics, Insect Science and Ecology, Evolution, Behavior and Systematics, having authored 14 papers that have together received 386 indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (13 papers), Insect Utilization and Effects (5 papers), Insect and Arachnid Ecology and Behavior (4 papers), Insect Resistance and Genetics (3 papers), Antioxidant Activity and Oxidative Stress (2 papers), Developmental Biology and Gene Regulation (2 papers), Invertebrate Immune Response Mechanisms (1 paper) and Plant and animal studies (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (303 citations), Insect Science (144 citations), Aging (15 citations), Ecology, Evolution, Behavior and Systematics (88 citations) and Genetics (117 citations). Ji-da Dai has collaborated with scholars based in United States, Japan and Germany. Frequent co-authors include Lawrence I. Gilbert, James T. Warren, Akira Mizoguchi, L Gilbert, Negusse Habtemichael, Jasmine Wismar, Elisabeth Gateff, Shin’Ichiro Satake, Hironori Ishizaki and Vincent C. Henrich. Their work appears in journals such as Insect Biochemistry and Molecular Biology, Developmental Biology, Cell and Tissue Research, Development Genes and Evolution and General and Comparative Endocrinology.
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.