Todd M. Martin
- Computational Theory and Mathematics top 0.5%
- Molecular Biology
- Health, Toxicology and Mutagenesis top 2%
- Plant Science top 10%
- Environmental Chemistry top 5%
- Co-authors
- Douglas M. YoungPaul HartenAlexander TropshaHao ZhuDouglas YoungMace G. BarronRaghuraman VenkatapathyIra Herskowitz
- Topics
- Computational Drug Discovery Methods (18 papers)Chemistry and Chemical Engineering (8 papers)Analytical Chemistry and Chromatography (7 papers)
- Cited by
- Computational Theory and MathematicsChemical Health and SafetyHealth, Toxicology and Mutagenesis
- Journals
- CellChemospherePolymer
- Partner nations
- United StatesItalyGhana
In The Last Decade
Todd M. Martin
42 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 155
- Computational Theory and Mathematics 772
- Molecular Biology 665
- Health, Toxicology and Mutagenesis 421
- Plant Science 287
- Environmental Chemistry 230
Countries citing papers authored by Todd M. Martin
This map shows the geographic impact of Todd M. 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 Todd M. Martin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Todd M. Martin more than expected).
Fields of papers citing papers by Todd M. Martin
This network shows the impact of papers produced by Todd M. 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 Todd M. Martin. The network helps show where Todd M. Martin may publish in the future.
Co-authorship network of co-authors of Todd M. Martin
This figure shows the co-authorship network connecting the top 25 collaborators of Todd M. Martin. A scholar is included among the top collaborators of Todd M. 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 Todd M. Martin. Todd M. 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 | 1 | |
| 2 | 9 | |
| 3 | 5 | |
| 4 | 16 | |
| 5 | 27 | |
| 6 | 3 | |
| 7 | 5 | |
| 8 | 11 | |
| 9 | 18 | |
| 10 | 91 | |
| 11 | 87 | |
| 12 | 23 | |
| 13 | 96 | |
| 14 | 90 | |
| 15 | 3 | |
| 16 | Financial Prudence and Next Generation Financial Strain | 47 |
| 17 | 41 | |
| 18 | 5 | |
| 19 | 23 | |
| 20 | 333 |
About Todd M. Martin
Todd M. Martin is a scholar working on Chemical Health and Safety, Computational Theory and Mathematics and Environmental Chemistry, having authored 43 papers that have together received 2.1k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (18 papers), Chemistry and Chemical Engineering (8 papers) and Analytical Chemistry and Chromatography (7 papers). The work is most often cited by research in Computational Theory and Mathematics (772 citations), Chemical Health and Safety (25 citations) and Health, Toxicology and Mutagenesis (421 citations). Todd M. Martin has collaborated with scholars based in United States, Italy and Ghana. Frequent co-authors include Douglas M. Young, Paul Harten, Alexander Tropsha, Hao Zhu, Douglas Young, Mace G. Barron, Raghuraman Venkatapathy, Ira Herskowitz, Marlis Dahl and Flora Banuett. Their work appears in journals such as Cell, Chemosphere and Polymer.
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.