David W. Martin
- Molecular Biology top 10%
- Global and Planetary Change top 2%
- Atmospheric Science top 5%
- Ecology top 5%
- Genetics top 10%
- Co-authors
- Erwin W. GelfandTerry McLendonRicardo Mata‐GonzálezDean SchollGordon M. TomkinsDaryl K. GrannerE. Brad ThompsonHerbert H. Samuels
- Topics
- Climate variability and models (13 papers)Tropical and Extratropical Cyclones Research (10 papers)Plant Water Relations and Carbon Dynamics (10 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
David W. Martin
117 papers receiving 3.3k citations
Hit Papers
Peers
Comparison fields: 5 of 193
- Molecular Biology 1.0k
- Global and Planetary Change 976
- Atmospheric Science 654
- Ecology 591
- Genetics 282
Countries citing papers authored by David W. Martin
This map shows the geographic impact of David W. Martin'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 W. Martin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David W. Martin more than expected).
Fields of papers citing papers by David W. Martin
This network shows the impact of papers produced by David W. Martin. 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 W. Martin. The network helps show where David W. Martin may publish in the future.
Co-authorship network of co-authors of David W. Martin
This figure shows the co-authorship network connecting the top 25 collaborators of David W. Martin. A scholar is included among the top collaborators of David W. Martin 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 David W. Martin. David W. Martin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 11 | |
| 3 | 73 | |
| 4 | 31 | |
| 5 | 15 | |
| 6 | The relevance of lean thinking to sustainable improvement of public office buildings in Nigeria | 2 |
| 7 | 14 | |
| 8 | 16 | |
| 9 | 148 | |
| 10 | 328 | |
| 11 | Sensibilidad del género Enterococcus a nuevos antimicrobianos | 4 |
| 12 | 3 | |
| 13 | 27 | |
| 14 | 27 | |
| 15 | 1 | |
| 16 | Implications of Executive Order 12.291 for Discretion in Environmental Regulation | 1 |
| 17 | 6 | |
| 18 | Control of Specific Gene Expression in Higher Organismsbreakdown → | 454 |
| 19 | 6 | |
| 20 | The ionization by H + ions in the energy range 0.15 - 1.1 MeV | 2 |
About David W. Martin
David W. Martin is a scholar working on Applied Microbiology and Biotechnology, Global and Planetary Change and Atmospheric Science, having authored 128 papers that have together received 3.6k indexed citations. Recurring topics across this work include Climate variability and models (13 papers), Tropical and Extratropical Cyclones Research (10 papers) and Plant Water Relations and Carbon Dynamics (10 papers). The work is most often cited by research in Global and Planetary Change (976 citations), Atmospheric Science (654 citations) and Physiology (118 citations). David W. Martin has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Erwin W. Gelfand, Terry McLendon, Ricardo Mata‐González, Dean Scholl, Gordon M. Tomkins, Daryl K. Granner, E. Brad Thompson, Herbert H. Samuels, Thomas Gelehrter and Elke Naumburg. Their work appears in journals such as Science, Cell 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.