Diana Wang
Impact in
- Behavioral Neuroscience top 10%
- Stress Responses and Cortisol
- Aquatic Science top 10%
- Echinoderm biology and ecology
Papers in
-
- Receptor Mechanisms and Signaling 2
- Health 4
- Health disparities and outcomes 4
- Co-authors
- Robert D. Burke (14 shared papers)Nivedita K. Pandit (1 shared paper)A.B. Boraston (2 shared papers)M.A. Higgins (1 shared paper)A. Lammerts van Bueren (1 shared paper)Tara L. Gruenewald (2 shared papers)Shunsuke Yaguchi (2 shared papers)Yoko Nakajima (2 shared papers)
- Journals
- Developmental Biology (3 papers)PLoS ONE (2 papers)Journal of Investigative Dermatology (2 papers)Cell (1 paper)Psychosomatic Medicine (1 paper)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Diana Wang
39 papers receiving 831 citations
Peers
Comparison fields: 5 of 128
- Behavioral Neuroscience 39
- Aquatic Science 59
- Neuropsychology and Physiological Psychology 10
- Biological Psychiatry 14
- Biotechnology 46
Countries citing papers authored by Diana Wang
This map shows the geographic impact of Diana Wang'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 Diana Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Diana Wang more than expected).
Fields of papers citing papers by Diana Wang
This network shows the impact of papers produced by Diana Wang. 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 Diana Wang. The network helps show where Diana Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Diana Wang, 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 73 | |
| 2 | 1998 | 72 | |
| 3 | 2006 | 62 | |
| 4 | 2006 | 49 | |
| 5 | 2004 | 44 | |
| 6 | 2007 | 44 | |
| 7 | 2015 | 42 | |
| 8 | 2022 | 37 | |
| 9 | 2007 | 33 | |
| 10 | 2009 | 30 | |
| 11 | 2000 | 27 | |
| 12 | 2020 | 27 | |
| 13 | 2006 | 25 | |
| 14 | 1998 | 24 | |
| 15 | 2000 | 24 | |
| 16 | 2017 | 21 | |
| 17 | 2020 | 21 | |
| 18 | 2020 | 20 | |
| 19 | 2000 | 20 | |
| 20 | 2003 | 19 |
About Diana Wang
Diana Wang is a scholar working on Molecular Biology, Health, Social Psychology, Immunology and Allergy and Organic Chemistry, having authored 41 papers that have together received 850 indexed citations. Recurring topics across this work include Health disparities and outcomes (4 papers), Cell Adhesion Molecules Research (4 papers), Psychological Well-being and Life Satisfaction (3 papers), Functional Brain Connectivity Studies (3 papers), Stress Responses and Cortisol (3 papers), Marine Biology and Environmental Chemistry (2 papers), Pneumonia and Respiratory Infections (2 papers) and Receptor Mechanisms and Signaling (2 papers). The work is most often cited by research in Behavioral Neuroscience (39 citations), Aquatic Science (59 citations), Neuropsychology and Physiological Psychology (10 citations), Biological Psychiatry (14 citations) and Biotechnology (46 citations). Diana Wang has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Robert D. Burke, Nivedita K. Pandit, A.B. Boraston, M.A. Higgins, A. Lammerts van Bueren, Tara L. Gruenewald, Shunsuke Yaguchi, Yoko Nakajima, Naoyuki Murabe and Lisa C. Osborne. Their work appears in journals such as Developmental Biology, PLoS ONE, Journal of Investigative Dermatology, Cell and Psychosomatic Medicine.
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.