D. Neil Watkins
- Molecular Biology top 0.5%
- Oncology top 0.5%
- Cancer Research top 1%
- Genetics top 1%
- Pulmonary and Respiratory Medicine top 2%
- Co-authors
- David M. BermanStephen B. BaylinPhilip A. BeachyCraig D. PeacockJames G. HermanSunil KarhadkarBaolin WangKornel E. Schuebel
- Topics
- Hedgehog Signaling Pathway Studies (35 papers)Epigenetics and DNA Methylation (34 papers)Lung Cancer Research Studies (15 papers)
- Partner nations
- AustraliaUnited StatesHong Kong
In The Last Decade
D. Neil Watkins
158 papers receiving 11.8k citations
Hit Papers
Peers
Comparison fields: 5 of 176
- Molecular Biology 8.3k
- Oncology 3.5k
- Cancer Research 1.4k
- Genetics 1.2k
- Pulmonary and Respiratory Medicine 1.1k
Countries citing papers authored by D. Neil Watkins
This map shows the geographic impact of D. Neil Watkins'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 D. Neil Watkins with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Neil Watkins more than expected).
Fields of papers citing papers by D. Neil Watkins
This network shows the impact of papers produced by D. Neil Watkins. 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 D. Neil Watkins. The network helps show where D. Neil Watkins may publish in the future.
Co-authorship network of co-authors of D. Neil Watkins
This figure shows the co-authorship network connecting the top 25 collaborators of D. Neil Watkins. A scholar is included among the top collaborators of D. Neil Watkins based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with D. Neil Watkins. D. Neil Watkins is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 85 | |
| 4 | 3 | |
| 5 | 41 | |
| 6 | 74 | |
| 7 | 10 | |
| 8 | 74 | |
| 9 | 34 | |
| 10 | 149 | |
| 11 | 337 | |
| 12 | 23 | |
| 13 | 162 | |
| 14 | Adaptation to a Sibling Culture: The Satisfaction and Persistence Intentions of Mainland Chinese Postgraduate Students at a Hong Kong University | 1 |
| 15 | Cognitive and Affective Outcomes of Person–Environment Fit to a Critical Constructivist Learning Environment: A Hong Kong Investigation | 2 |
| 16 | 1 | |
| 17 | 139 | |
| 18 | The Self-Conceptions of Malaysian Adolescents--Assessment and Cross-Cultural Comparisons | 5 |
| 19 | How Universal Are Student Conceptions of Learning?--A Nepalese Investigation | 29 |
| 20 | Cross-cultural assessment of self-esteem : a Nepalese investigation | 26 |
About D. Neil Watkins
D. Neil Watkins is a scholar working on Oncology, Molecular Biology and Education, having authored 161 papers that have together received 12.1k indexed citations. Recurring topics across this work include Hedgehog Signaling Pathway Studies (35 papers), Epigenetics and DNA Methylation (34 papers) and Lung Cancer Research Studies (15 papers). The work is most often cited by research in Oncology (3.5k citations), Molecular Biology (8.3k citations) and Cancer Research (1.4k citations). D. Neil Watkins has collaborated with scholars based in Australia, United States and Hong Kong. Frequent co-authors include David M. Berman, Stephen B. Baylin, Philip A. Beachy, Craig D. Peacock, James G. Herman, Sunil Karhadkar, Baolin Wang, Kornel E. Schuebel, Philip J. Thompson and Kimberly J. Briggs. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.