Junqiang Dai
Impact in
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- Cancer-related molecular mechanisms research
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- Glioma Diagnosis and Treatment
Papers in
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- Gastric Cancer Management and Outcomes 5
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- Genomics and Phylogenetic Studies 4
- Co-authors
- K. Suzanne Scherf (4 shared papers)Liang Niu (11 shared papers)Xuesong Luo (3 shared papers)Guoqiang Yuan (10 shared papers)Chengxiang Fang (2 shared papers)Hang Yin (5 shared papers)Milind A. Phadnis (12 shared papers)Yinian Zhang (4 shared papers)
- Journals
- INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY (4 papers)Social Cognitive and Affective Neuroscience (2 papers)Clinical Neurology and Neurosurgery (2 papers)Journal of Clinical Oncology (2 papers)Supportive Care in Cancer (2 papers)
- Partner nations
- United StatesChina
In The Last Decade
Junqiang Dai
50 papers receiving 722 citations
Peers
Comparison fields: 5 of 102
- Cancer Research 93
- Genetics 44
- Pulmonary and Respiratory Medicine 129
- Oncology 110
- Cognitive Neuroscience 62
Countries citing papers authored by Junqiang Dai
This map shows the geographic impact of Junqiang 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 Junqiang Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junqiang Dai more than expected).
Fields of papers citing papers by Junqiang Dai
This network shows the impact of papers produced by Junqiang 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 Junqiang Dai. The network helps show where Junqiang Dai may publish in the future.
Co-authors
The 25 scholars most cited alongside Junqiang 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
Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 58 | |
| 2 | 2022 | 51 | |
| 3 | 2009 | 39 | |
| 4 | 2017 | 37 | |
| 5 | 2019 | 35 | |
| 6 | 2017 | 33 | |
| 7 | 2010 | 32 | |
| 8 | 2009 | 30 | |
| 9 | 2024 | 29 | |
| 10 | 2022 | 29 | |
| 11 | 2023 | 25 | |
| 12 | 2022 | 21 | |
| 13 | 2018 | 20 | |
| 14 | 2016 | 20 | |
| 15 | 2019 | 18 | |
| 16 | 2017 | 18 | |
| 17 | 2017 | 16 | |
| 18 | 2016 | 16 | |
| 19 | 2009 | 15 | |
| 20 | 2024 | 15 |
About Junqiang Dai
Junqiang Dai is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Cognitive Neuroscience, Cancer Research and Oncology, having authored 52 papers that have together received 729 indexed citations. Recurring topics across this work include Face Recognition and Perception (7 papers), Neural and Behavioral Psychology Studies (5 papers), Gastric Cancer Management and Outcomes (5 papers), Evolutionary Psychology and Human Behavior (5 papers), Antiplatelet Therapy and Cardiovascular Diseases (5 papers), Cancer-related molecular mechanisms research (4 papers), Pancreatic and Hepatic Oncology Research (4 papers) and Genomics and Phylogenetic Studies (4 papers). The work is most often cited by research in Cancer Research (93 citations), Genetics (44 citations), Pulmonary and Respiratory Medicine (129 citations), Oncology (110 citations) and Cognitive Neuroscience (62 citations). Junqiang Dai has collaborated with scholars based in United States and China. Frequent co-authors include K. Suzanne Scherf, Liang Niu, Xuesong Luo, Guoqiang Yuan, Chengxiang Fang, Hang Yin, Milind A. Phadnis, Yinian Zhang, Eva H. Telzer and Yawen Pan. Their work appears in journals such as INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY, Social Cognitive and Affective Neuroscience, Clinical Neurology and Neurosurgery, Journal of Clinical Oncology and Supportive Care in Cancer.
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.