Stephen M. Roper
Impact in
- Toxicology top 10%
- Forensic Toxicology and Drug Analysis
- Ophthalmology top 10%
- Drug-Induced Ocular Toxicity
Papers in
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- Mitochondrial Function and Pathology 2
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- Forensic Toxicology and Drug Analysis 6
- Co-authors
- J.A. Henry (1 shared paper)Christopher W Farnsworth (10 shared papers)Dennis J. Dietzen (10 shared papers)Melissa M. Budelier (2 shared papers)Ryan M. Nunley (1 shared paper)Robert L. Barrack (1 shared paper)Sridevi Devaraj (6 shared papers)Jing Cao (3 shared papers)
- Journals
- American Journal of Clinical Pathology (4 papers)Clinical Biochemistry (3 papers)Clinical Chemistry (2 papers)mSphere (2 papers)Journal of Analytical Toxicology (2 papers)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Stephen M. Roper
35 papers receiving 249 citations
Peers
Comparison fields: 5 of 70
- Toxicology 24
- Ophthalmology 24
- Pharmacology 22
- Health Informatics 3
- Clinical Biochemistry 12
Countries citing papers authored by Stephen M. Roper
This map shows the geographic impact of Stephen M. Roper'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 Stephen M. Roper with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen M. Roper more than expected).
Fields of papers citing papers by Stephen M. Roper
This network shows the impact of papers produced by Stephen M. Roper. 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 Stephen M. Roper. The network helps show where Stephen M. Roper may publish in the future.
Co-authors
The 25 scholars most cited alongside Stephen M. Roper, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1985 | 76 | |
| 2 | 2021 | 22 | |
| 3 | 2020 | 20 | |
| 4 | 2020 | 17 | |
| 5 | 2013 | 15 | |
| 6 | 2014 | 10 | |
| 7 | 2023 | 9 | |
| 8 | 2021 | 9 | |
| 9 | 2022 | 8 | |
| 10 | 2021 | 7 | |
| 11 | 2023 | 6 | |
| 12 | 2017 | 6 | |
| 13 | 2021 | 5 | |
| 14 | 2012 | 5 | |
| 15 | 2024 | 4 | |
| 16 | 2024 | 3 | |
| 17 | 2017 | 3 | |
| 18 | 2025 | 3 | |
| 19 | 2016 | 3 | |
| 20 | 2021 | 2 |
About Stephen M. Roper
Stephen M. Roper is a scholar working on Molecular Biology, Toxicology, Clinical Biochemistry, Surgery and Pediatrics, Perinatology and Child Health, having authored 38 papers that have together received 255 indexed citations. Recurring topics across this work include Forensic Toxicology and Drug Analysis (6 papers), Metabolism and Genetic Disorders (5 papers), Neonatal Health and Biochemistry (3 papers), Respiratory viral infections research (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Mass Spectrometry Techniques and Applications (2 papers), Mitochondrial Function and Pathology (2 papers) and COVID-19 Clinical Research Studies (2 papers). The work is most often cited by research in Toxicology (24 citations), Ophthalmology (24 citations), Pharmacology (22 citations), Health Informatics (3 citations) and Clinical Biochemistry (12 citations). Stephen M. Roper has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include J.A. Henry, Christopher W Farnsworth, Dennis J. Dietzen, Melissa M. Budelier, Ryan M. Nunley, Robert L. Barrack, Sridevi Devaraj, Jing Cao, Toby N. Barrack and Charles M. Lawrie. Their work appears in journals such as American Journal of Clinical Pathology, Clinical Biochemistry, Clinical Chemistry, mSphere and Journal of Analytical Toxicology.
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.