Todd Seeley
Impact in
- Cancer Research top 5%
- Cancer, Hypoxia, and Metabolism
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- Connective Tissue Growth Factor Research
- Mitochondrial Function and Pathology
Papers in
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- Cancer, Hypoxia, and Metabolism 4
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- Systemic Sclerosis and Related Diseases 4
- Co-authors
- Mark D. SternlichtPeppi KoivunenJohanna MyllyharjuMaija HirsiläKari I. KivirikkoGuangjie GuoQingjian WangWilliam R. Usinger
- Journals
- Journal of Pharmacology and Experimental Therapeutics (1 paper)JNCI Journal of the National Cancer Institute (1 paper)Journal of Molecular and Cellular Cardiology (1 paper)European Respiratory Journal (1 paper)Respiratory Research (1 paper)
- Partner nations
- United StatesGermanyFinland
In The Last Decade
Todd Seeley
16 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 96
- Cancer Research 413
- Molecular Biology 685
- Hematology 88
- Oncology 207
- Cell Biology 106
Countries citing papers authored by Todd Seeley
This map shows the geographic impact of Todd Seeley'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 Seeley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Todd Seeley more than expected).
Fields of papers citing papers by Todd Seeley
This network shows the impact of papers produced by Todd Seeley. 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 Seeley. The network helps show where Todd Seeley may publish in the future.
Co-authors
The 25 scholars most cited alongside Todd Seeley, 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 | 2023 | 1 | |
| 2 | 2020 | 47 | |
| 3 | 2020 | 2 | |
| 4 | 2019 | 54 | |
| 5 | 2018 | 20 | |
| 6 | 2017 | 45 | |
| 7 | 2017 | 3 | |
| 8 | 2016 | 122 | |
| 9 | 2015 | 27 | |
| 10 | 2013 | 199 | |
| 11 | 2011 | 3 | |
| 12 | 2011 | 249 | |
| 13 | 2005 | 259 | |
| 14 | 2005 | 177 | |
| 15 | 1999 | 44 | |
| 16 | 1983 | 72 |
About Todd Seeley
Todd Seeley is a scholar working on Cancer Research, Pathology and Forensic Medicine, Molecular Biology, Hematology and Biochemistry, having authored 16 papers that have together received 1.3k indexed citations. Recurring topics across this work include Connective Tissue Growth Factor Research (9 papers), Cancer, Hypoxia, and Metabolism (4 papers), Systemic Sclerosis and Related Diseases (4 papers), Fibroblast Growth Factor Research (3 papers), Connective tissue disorders research (3 papers), Erythropoietin and Anemia Treatment (2 papers), Biomarkers in Disease Mechanisms (2 papers) and Pulmonary Hypertension Research and Treatments (2 papers). The work is most often cited by research in Cancer Research (413 citations), Molecular Biology (685 citations), Hematology (88 citations), Oncology (207 citations) and Cell Biology (106 citations). Todd Seeley has collaborated with scholars based in United States, Germany and Finland. Frequent co-authors include Mark D. Sternlicht, Peppi Koivunen, Johanna Myllyharju, Maija Hirsilä, Kari I. Kivirikko, Guangjie Guo, Qingjian Wang, William R. Usinger, Noëlynn Oliver and Weihua Zhang. Their work appears in journals such as Journal of Pharmacology and Experimental Therapeutics, JNCI Journal of the National Cancer Institute, Journal of Molecular and Cellular Cardiology, European Respiratory Journal and Respiratory 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.