Diane Wang
Impact in
- Oncology top 5%
- PARP inhibition in cancer therapy
- Health Informatics top 5%
Papers in
-
- Rice Cultivation and Yield Improvement 14
- Greenhouse Technology and Climate Control 6
- Oncology 24
- CAR-T cell therapy research 6
- Co-authors
- Susan R. McCouch (13 shared papers)Mark R. Middleton (2 shared papers)Ruth Plummer (2 shared papers)Richard H. Wilson (2 shared papers)R. Dewji (2 shared papers)Hilary Calvert (2 shared papers)Nicola J. Curtin (2 shared papers)Xiangdong Wang (7 shared papers)
- Journals
- The Journal of Clinical Pharmacology (5 papers)Ophthalmic Plastic and Reconstructive Surgery (5 papers)New Phytologist (4 papers)Blood (4 papers)Investigative Ophthalmology & Visual Science (4 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Diane Wang
91 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 138
- Oncology 662
- Health Informatics 27
- Plant Science 695
- Genetics 489
- Ophthalmology 125
Countries citing papers authored by Diane Wang
This map shows the geographic impact of Diane 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 Diane Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Diane Wang more than expected).
Fields of papers citing papers by Diane Wang
This network shows the impact of papers produced by Diane 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 Diane Wang. The network helps show where Diane Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Diane 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 102 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 298 | |
| 2 | 2015 | 161 | |
| 3 | 2010 | 144 | |
| 4 | 2013 | 143 | |
| 5 | 2015 | 106 | |
| 6 | 2012 | 98 | |
| 7 | 2017 | 81 | |
| 8 | 2019 | 71 | |
| 9 | 2017 | 58 | |
| 10 | 2018 | 56 | |
| 11 | 2016 | 52 | |
| 12 | 2020 | 49 | |
| 13 | 2010 | 45 | |
| 14 | 2010 | 44 | |
| 15 | 2010 | 43 | |
| 16 | 2016 | 42 | |
| 17 | 2010 | 41 | |
| 18 | 2023 | 36 | |
| 19 | 2017 | 36 | |
| 20 | 2016 | 34 |
About Diane Wang
Diane Wang is a scholar working on Plant Science, Oncology, Pulmonary and Respiratory Medicine, Genetics and Molecular Biology, having authored 102 papers that have together received 2.2k indexed citations. Recurring topics across this work include Genetic Mapping and Diversity in Plants and Animals (18 papers), Rice Cultivation and Yield Improvement (14 papers), Advanced Breast Cancer Therapies (11 papers), Multiple Myeloma Research and Treatments (7 papers), Glaucoma and retinal disorders (7 papers), CAR-T cell therapy research (6 papers), Greenhouse Technology and Climate Control (6 papers) and Chronic Lymphocytic Leukemia Research (6 papers). The work is most often cited by research in Oncology (662 citations), Health Informatics (27 citations), Plant Science (695 citations), Genetics (489 citations) and Ophthalmology (125 citations). Diane Wang has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Susan R. McCouch, Mark R. Middleton, Ruth Plummer, Richard H. Wilson, R. Dewji, Hilary Calvert, Nicola J. Curtin, Xiangdong Wang, Chunxue Bai and Xiangdong Wang. Their work appears in journals such as The Journal of Clinical Pharmacology, Ophthalmic Plastic and Reconstructive Surgery, New Phytologist, Blood and Investigative Ophthalmology & Visual Science.
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.