Ping Dai
Impact in
- Biophysics top 5%
- Spectroscopy Techniques in Biomedical and Chemical Research
- Analytical Chemistry top 5%
Papers in
-
- Analytical chemistry methods development 9
- Spectroscopy and Chemometric Analyses 4
-
- Analytical Chemistry and Sensors 7
- Co-authors
- Tetsuro Takamatsu (22 shared papers)Yoshinori Harada (21 shared papers)Yukimasa Takeda (9 shared papers)Shenguang Ge (14 shared papers)Takuo Nakagami (3 shared papers)Jinghua Yu (15 shared papers)Toshikazu Yoshikawa (7 shared papers)Hideo Tanaka (5 shared papers)
- Journals
- Scientific Reports (10 papers)Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy (3 papers)Neurochemical Research (3 papers)International Journal of Molecular Sciences (3 papers)Biosensors and Bioelectronics (2 papers)
- Partner nations
- ChinaJapanUnited States
In The Last Decade
Ping Dai
81 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 128
- Biophysics 103
- Analytical Chemistry 100
- Molecular Biology 574
- Developmental Neuroscience 30
- Rehabilitation 45
Countries citing papers authored by Ping Dai
This map shows the geographic impact of Ping 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 Ping Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ping Dai more than expected).
Fields of papers citing papers by Ping Dai
This network shows the impact of papers produced by Ping 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 Ping Dai. The network helps show where Ping Dai may publish in the future.
Co-authors
The 25 scholars most cited alongside Ping 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 87 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 97 | |
| 2 | 2007 | 90 | |
| 3 | 2009 | 60 | |
| 4 | 2005 | 52 | |
| 5 | 2015 | 48 | |
| 6 | 2018 | 48 | |
| 7 | 2016 | 45 | |
| 8 | 2010 | 38 | |
| 9 | 2009 | 36 | |
| 10 | 2013 | 36 | |
| 11 | 2023 | 36 | |
| 12 | 2022 | 34 | |
| 13 | 2017 | 34 | |
| 14 | 2012 | 33 | |
| 15 | 2009 | 33 | |
| 16 | 2014 | 30 | |
| 17 | 2009 | 30 | |
| 18 | 2013 | 29 | |
| 19 | 2007 | 28 | |
| 20 | 2013 | 28 |
About Ping Dai
Ping Dai is a scholar working on Analytical Chemistry, Bioengineering, Molecular Biology, Cell Biology and Cellular and Molecular Neuroscience, having authored 87 papers that have together received 1.5k indexed citations. Recurring topics across this work include Analytical chemistry methods development (9 papers), Adipose Tissue and Metabolism (8 papers), Analytical Chemistry and Sensors (7 papers), Nerve injury and regeneration (7 papers), Muscle metabolism and nutrition (6 papers), Pluripotent Stem Cells Research (5 papers), RNA Interference and Gene Delivery (5 papers) and Spectroscopy and Chemometric Analyses (4 papers). The work is most often cited by research in Biophysics (103 citations), Analytical Chemistry (100 citations), Molecular Biology (574 citations), Developmental Neuroscience (30 citations) and Rehabilitation (45 citations). Ping Dai has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Tetsuro Takamatsu, Yoshinori Harada, Yukimasa Takeda, Shenguang Ge, Takuo Nakagami, Jinghua Yu, Toshikazu Yoshikawa, Hideo Tanaka, Masahito Oyamada and Yoshihisa Yamaoka. Their work appears in journals such as Scientific Reports, Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy, Neurochemical Research, International Journal of Molecular Sciences and Biosensors and Bioelectronics.
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.