Marque D. Todd
Impact in
- Hematology top 10%
- Erythropoietin and Anemia Treatment
- Iron Metabolism and Disorders
-
- Animal testing and alternatives
Papers in
- Oncology 4
- HER2/EGFR in Cancer Research 2
- Co-authors
- L.G. Leduc (1 shared paper)G. D. Ferroni (1 shared paper)C. Glenn Begley (1 shared paper)Steve Elliott (1 shared paper)Kevin Forsythe (1 shared paper)Angus M. Sinclair (1 shared paper)Susan J. Knox (1 shared paper)B L Seely (1 shared paper)
- Journals
- SLAS DISCOVERY (1 paper)mAbs (1 paper)Cancer (1 paper)Mutation Research/Genetic Toxicology and Environmental Mutagenesis (1 paper)Toxicologic Pathology (1 paper)
- Partner nations
- United StatesSwitzerlandGermany
In The Last Decade
Marque D. Todd
12 papers receiving 305 citations
Peers
Comparison fields: 5 of 87
- Hematology 75
- Small Animals 25
- Cancer Research 46
- Chemical Health and Safety 2
- Environmental Chemistry 28
Countries citing papers authored by Marque D. Todd
This map shows the geographic impact of Marque D. Todd'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 Marque D. Todd with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marque D. Todd more than expected).
Fields of papers citing papers by Marque D. Todd
This network shows the impact of papers produced by Marque D. Todd. 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 Marque D. Todd. The network helps show where Marque D. Todd may publish in the future.
Co-authors
The 25 scholars most cited alongside Marque D. Todd, 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 | 2007 | 79 | |
| 2 | 1998 | 52 | |
| 3 | 1986 | 46 | |
| 4 | Prolonged treatment of human osteoarthritic chondrocytes with insulin-like growth factor-I stimulates proteoglycan synthesis but not proteoglycan matrix accumulation in alginate cultures. | 2003 | 30 |
| 5 | 2017 | 20 | |
| 6 | 2014 | 19 | |
| 7 | 2020 | 17 | |
| 8 | 2010 | 16 | |
| 9 | 2011 | 15 | |
| 10 | 2010 | 13 | |
| 11 | 1999 | 11 | |
| 12 | 2010 | 9 |
About Marque D. Todd
Marque D. Todd is a scholar working on Molecular Biology, Oncology, Radiology, Nuclear Medicine and Imaging, Immunology and Cancer Research, having authored 12 papers that have together received 327 indexed citations. Recurring topics across this work include Biosimilars and Bioanalytical Methods (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Immunotoxicology and immune responses (2 papers), HER2/EGFR in Cancer Research (2 papers), Carcinogens and Genotoxicity Assessment (2 papers), Inflammatory mediators and NSAID effects (1 paper), Metal Extraction and Bioleaching (1 paper) and Computational Drug Discovery Methods (1 paper). The work is most often cited by research in Hematology (75 citations), Small Animals (25 citations), Cancer Research (46 citations), Chemical Health and Safety (2 citations) and Environmental Chemistry (28 citations). Marque D. Todd has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include L.G. Leduc, G. D. Ferroni, C. Glenn Begley, Steve Elliott, Kevin Forsythe, Angus M. Sinclair, Susan J. Knox, B L Seely, Richard F. Loeser and Xavier Gidrol. Their work appears in journals such as SLAS DISCOVERY, mAbs, Cancer, Mutation Research/Genetic Toxicology and Environmental Mutagenesis and Toxicologic Pathology.
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.