Junqiang Dai
Impact in
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- Glioma Diagnosis and Treatment
Papers in
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- Gastric Cancer Management and Outcomes 6
- Oncology 11
- Co-authors
- K. Suzanne Scherf (4 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)Qianqian Yang (1 shared paper)Mingsheng Liu (2 shared papers)
- Journals
- INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY (4 papers)Supportive Care in Cancer (2 papers)Clinical Neurology and Neurosurgery (2 papers)Journal of Clinical Oncology (2 papers)Social Cognitive and Affective Neuroscience (2 papers)
- Partner nations
- United StatesChinaPakistan
In The Last Decade
Junqiang Dai
51 papers receiving 678 citations
Peers
Comparison fields: 5 of 104
- Cancer Research 115
- Genetics 66
- Oncology 132
- Pulmonary and Respiratory Medicine 147
- Molecular Biology 243
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 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 56 | |
| 2 | 2022 | 43 | |
| 3 | 2009 | 39 | |
| 4 | 2017 | 37 | |
| 5 | 2019 | 35 | |
| 6 | 2017 | 31 | |
| 7 | 2010 | 31 | |
| 8 | 2009 | 30 | |
| 9 | 2022 | 24 | |
| 10 | 2024 | 24 | |
| 11 | 2023 | 23 | |
| 12 | 2016 | 20 | |
| 13 | 2022 | 20 | |
| 14 | 2019 | 18 | |
| 15 | 2018 | 18 | |
| 16 | 2017 | 17 | |
| 17 | 2017 | 16 | |
| 18 | 2009 | 15 | |
| 19 | 2016 | 15 | |
| 20 | 2019 | 15 |
About Junqiang Dai
Junqiang Dai is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Molecular Biology, Cognitive Neuroscience and Cancer Research, having authored 54 papers that have together received 684 indexed citations. Recurring topics across this work include Face Recognition and Perception (7 papers), Gastric Cancer Management and Outcomes (6 papers), Antiplatelet Therapy and Cardiovascular Diseases (5 papers), Evolutionary Psychology and Human Behavior (5 papers), Neural and Behavioral Psychology Studies (5 papers), Glioma Diagnosis and Treatment (5 papers), Genomics and Phylogenetic Studies (4 papers) and MicroRNA in disease regulation (4 papers). The work is most often cited by research in Cancer Research (115 citations), Genetics (66 citations), Oncology (132 citations), Pulmonary and Respiratory Medicine (147 citations) and Molecular Biology (243 citations). Junqiang Dai has collaborated with scholars based in United States, China and Pakistan. Frequent co-authors include K. Suzanne Scherf, Xuesong Luo, Guoqiang Yuan, Chengxiang Fang, Hang Yin, Milind A. Phadnis, Qianqian Yang, Mingsheng Liu, Yang Wang and Yali Tang. Their work appears in journals such as INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY, Supportive Care in Cancer, Clinical Neurology and Neurosurgery, Journal of Clinical Oncology and Social Cognitive and Affective Neuroscience.
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.