D. J. Weiss
Impact in
- Genetics top 10%
- Mesenchymal stem cell research
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies
Papers in
-
- Malaria Research and Control 3
- Mosquito-borne diseases and control 1
-
- Viral Infections and Outbreaks Research 1
- Co-authors
- Sowmya Viswanathan (1 shared paper)David F. Stroncek (1 shared paper)Glyn Stacey (1 shared paper)Darwin J. Prockop (1 shared paper)Peiman Hematti (1 shared paper)Robert Deans (1 shared paper)Mahendra S. Rao (1 shared paper)Christopher Mason (1 shared paper)
- Journals
- BMC Medicine (1 paper)Experimental Lung Research (1 paper)Journal of The Royal Society Interface (1 paper)Stem Cells and Development (1 paper)Australian & New Zealand Journal of Psychiatry (1 paper)
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
D. J. Weiss
8 papers receiving 244 citations
Peers
Comparison fields: 5 of 75
- Genetics 71
- Modeling and Simulation 21
- Transportation 28
- Global and Planetary Change 33
- Health 11
Countries citing papers authored by D. J. Weiss
This map shows the geographic impact of D. J. Weiss'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. J. Weiss with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. J. Weiss more than expected).
Fields of papers citing papers by D. J. Weiss
This network shows the impact of papers produced by D. J. Weiss. 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. J. Weiss. The network helps show where D. J. Weiss may publish in the future.
Co-authors
The 25 scholars most cited alongside D. J. Weiss, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 97 | |
| 2 | 2015 | 67 | |
| 3 | 2019 | 39 | |
| 4 | 2019 | 38 | |
| 5 | 2020 | 4 | |
| 6 | 2023 | 4 | |
| 7 | 1994 | 3 | |
| 8 | 2022 | 1 | |
| 9 | 2025 | 0 |
About D. J. Weiss
D. J. Weiss is a scholar working on Public Health, Environmental and Occupational Health, Infectious Diseases, Organic Chemistry, Surgery and Molecular Biology, having authored 9 papers that have together received 253 indexed citations. Recurring topics across this work include Malaria Research and Control (3 papers), Glycosylation and Glycoproteins Research (1 paper), Suicide and Self-Harm Studies (1 paper), Mosquito-borne diseases and control (1 paper), COVID-19 epidemiological studies (1 paper), Viral Infections and Outbreaks Research (1 paper), Insect Pest Control Strategies (1 paper) and Urban Transport and Accessibility (1 paper). The work is most often cited by research in Genetics (71 citations), Modeling and Simulation (21 citations), Transportation (28 citations), Global and Planetary Change (33 citations) and Health (11 citations). D. J. Weiss has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Sowmya Viswanathan, David F. Stroncek, Glyn Stacey, Darwin J. Prockop, Peiman Hematti, Robert Deans, Mahendra S. Rao, Christopher Mason, Armand Keating and Tomas J. Bird. Their work appears in journals such as BMC Medicine, Experimental Lung Research, Journal of The Royal Society Interface, Stem Cells and Development and Australian & New Zealand Journal of Psychiatry.
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.