David Pearson
Impact in
- Fuel Technology top 1%
- Coal and Coke Industries Research
- Geochemistry and Petrology top 10%
- Coal and Its By-products
Papers in
- Oncology 8
- CAR-T cell therapy research 5
- Drug Transport and Resistance Mechanisms 3
- Co-authors
- Y. T. John Kwong (2 shared papers)Paul C. Painter (1 shared paper)Randy W. Snyder (1 shared paper)S. Creaney (3 shared papers)Donald J. Cohen (4 shared papers)George M. Anderson (2 shared papers)R W Fuller (1 shared paper)Susan K. Hemrick-Luecke (1 shared paper)
- Journals
- Fuel (5 papers)Canadian Journal of Earth Sciences (3 papers)Science (3 papers)Drug Metabolism and Disposition (3 papers)Journal of Dental Research (2 papers)
- Partner nations
- United StatesSwitzerlandSpain
In The Last Decade
David Pearson
35 papers receiving 439 citations
Peers
Comparison fields: 5 of 112
- Fuel Technology 44
- Geochemistry and Petrology 66
- Ocean Engineering 103
- Analytical Chemistry 36
- Cellular and Molecular Neuroscience 57
Countries citing papers authored by David Pearson
This map shows the geographic impact of David Pearson'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 David Pearson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Pearson more than expected).
Fields of papers citing papers by David Pearson
This network shows the impact of papers produced by David Pearson. 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 David Pearson. The network helps show where David Pearson may publish in the future.
Co-authors
The 25 scholars most cited alongside David Pearson, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1980 | 103 | |
| 2 | 1983 | 43 | |
| 3 | 1979 | 38 | |
| 4 | 1980 | 28 | |
| 5 | 2022 | 27 | |
| 6 | 2023 | 27 | |
| 7 | 1984 | 19 | |
| 8 | 2018 | 18 | |
| 9 | 2017 | 16 | |
| 10 | 2023 | 12 | |
| 11 | 1980 | 12 | |
| 12 | 2018 | 12 | |
| 13 | 1991 | 12 | |
| 14 | 2017 | 10 | |
| 15 | 2017 | 8 | |
| 16 | 1980 | 8 | |
| 17 | 1974 | 7 | |
| 18 | 1981 | 7 | |
| 19 | 2017 | 7 | |
| 20 | 1995 | 7 |
About David Pearson
David Pearson is a scholar working on Oncology, Molecular Biology, Mechanics of Materials, Ocean Engineering and Pharmacology, having authored 36 papers that have together received 480 indexed citations. Recurring topics across this work include Hydrocarbon exploration and reservoir analysis (6 papers), Coal Properties and Utilization (6 papers), CAR-T cell therapy research (5 papers), Pharmacogenetics and Drug Metabolism (3 papers), Geological and Geochemical Analysis (3 papers), Coal and Coke Industries Research (3 papers), Drug Transport and Resistance Mechanisms (3 papers) and Geological formations and processes (2 papers). The work is most often cited by research in Fuel Technology (44 citations), Geochemistry and Petrology (66 citations), Ocean Engineering (103 citations), Analytical Chemistry (36 citations) and Cellular and Molecular Neuroscience (57 citations). David Pearson has collaborated with scholars based in United States, Switzerland and Spain. Frequent co-authors include Y. T. John Kwong, Paul C. Painter, Randy W. Snyder, S. Creaney, Donald J. Cohen, George M. Anderson, R W Fuller, Susan K. Hemrick-Luecke, Penny G. Threlkeld and Martin D. Hynes. Their work appears in journals such as Fuel, Canadian Journal of Earth Sciences, Science, Drug Metabolism and Disposition and Journal of Dental Research.
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.