Steven Tessier
Impact in
-
- Spine and Intervertebral Disc Pathology
- Pharmacology top 10%
- Musculoskeletal pain and rehabilitation
Papers in
-
- Spine and Intervertebral Disc Pathology 7
-
- Musculoskeletal pain and rehabilitation 4
- Co-authors
- Makarand V. Risbud (7 shared papers)Irving M. Shapiro (5 shared papers)Hyowon Choi (1 shared paper)Elizabeth S. Silagi (1 shared paper)Nancy Pleshko (1 shared paper)Emanuel J. Novais (2 shared papers)Victoria A. Tran (1 shared paper)Vedavathi Madhu (1 shared paper)
- Journals
- Matrix Biology (2 papers)Blood (2 papers)European Cells and Materials (1 paper)Blood Advances (1 paper)JCI Insight (1 paper)
- Partner nations
- United StatesHong KongAustralia
In The Last Decade
Steven Tessier
18 papers receiving 305 citations
Peers
Comparison fields: 5 of 49
- Pathology and Forensic Medicine 215
- Pharmacology 118
- Rheumatology 45
- Small Animals 22
- Orthopedics and Sports Medicine 16
Countries citing papers authored by Steven Tessier
This map shows the geographic impact of Steven Tessier'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 Steven Tessier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steven Tessier more than expected).
Fields of papers citing papers by Steven Tessier
This network shows the impact of papers produced by Steven Tessier. 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 Steven Tessier. The network helps show where Steven Tessier may publish in the future.
Co-authors
The 25 scholars most cited alongside Steven Tessier, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 99 | |
| 2 | 2021 | 52 | |
| 3 | 2019 | 47 | |
| 4 | 2020 | 27 | |
| 5 | 2020 | 25 | |
| 6 | 2019 | 18 | |
| 7 | 2021 | 14 | |
| 8 | 2022 | 5 | |
| 9 | 2021 | 5 | |
| 10 | 2022 | 4 | |
| 11 | 2022 | 2 | |
| 12 | 2022 | 2 | |
| 13 | 2024 | 2 | |
| 14 | 2025 | 1 | |
| 15 | 2024 | 1 | |
| 16 | 2023 | 1 | |
| 17 | 2023 | 1 | |
| 18 | 2023 | 1 | |
| 19 | 2025 | 0 | |
| 20 | 2024 | 0 |
About Steven Tessier
Steven Tessier is a scholar working on Pathology and Forensic Medicine, Pharmacology, Surgery, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 24 papers that have together received 307 indexed citations. Recurring topics across this work include Spine and Intervertebral Disc Pathology (7 papers), Plant Toxicity and Pharmacological Properties (4 papers), Musculoskeletal pain and rehabilitation (4 papers), Aldose Reductase and Taurine (3 papers), Infective Endocarditis Diagnosis and Management (3 papers), Osteoarthritis Treatment and Mechanisms (2 papers), Histiocytic Disorders and Treatments (2 papers) and Acute Myeloid Leukemia Research (2 papers). The work is most often cited by research in Pathology and Forensic Medicine (215 citations), Pharmacology (118 citations), Rheumatology (45 citations), Small Animals (22 citations) and Orthopedics and Sports Medicine (16 citations). Steven Tessier has collaborated with scholars based in United States, Hong Kong and Australia. Frequent co-authors include Makarand V. Risbud, Irving M. Shapiro, Hyowon Choi, Elizabeth S. Silagi, Nancy Pleshko, Emanuel J. Novais, Victoria A. Tran, Vedavathi Madhu, Zariel I. Johnson and Vyl Leung. Their work appears in journals such as Matrix Biology, Blood, European Cells and Materials, Blood Advances and JCI Insight.
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.