G. Smith
Impact in
- Internal Medicine top 5%
- Venous Thromboembolism Diagnosis and Management
-
- Growth Hormone and Insulin-like Growth Factors
Papers in
- Equine 1
- Co-authors
- Daniel J. KnauerHoward M. TeminH. W. WhitlockMahshid MehdipourMohsen SharifiR. Curtis BayFred WagnerS. Percy Ivy
- Journals
- Clinical Cancer Research (3 papers)Journal of Cellular Physiology (3 papers)Tetrahedron Letters (3 papers)Acta Crystallographica Section C Crystal Structure Communications (3 papers)Journal of Clinical Oncology (3 papers)
- Partner nations
- United StatesUnited KingdomAustralia
In The Last Decade
G. Smith
48 papers receiving 817 citations
Peers
Comparison fields: 5 of 125
- Internal Medicine 95
- Endocrinology, Diabetes and Metabolism 245
- Emergency Medical Services 63
- Pharmacology 41
- Cancer Research 67
Countries citing papers authored by G. Smith
This map shows the geographic impact of G. Smith'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 G. Smith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Smith more than expected).
Fields of papers citing papers by G. Smith
This network shows the impact of papers produced by G. Smith. 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 G. Smith. The network helps show where G. Smith may publish in the future.
Co-authorship network
The 25 scholars most cited alongside G. Smith, 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 | 2024 | 2 | |
| 2 | 2024 | 4 | |
| 3 | 2021 | 1 | |
| 4 | 2021 | 0 | |
| 5 | 2019 | 5 | |
| 6 | 2018 | 2 | |
| 7 | 2016 | 21 | |
| 8 | 2015 | 11 | |
| 9 | 2015 | 2 | |
| 10 | 2014 | 6 | |
| 11 | 2013 | 2 | |
| 12 | 2010 | 92 | |
| 13 | 2008 | 20 | |
| 14 | 2007 | 0 | |
| 15 | 2006 | 1 | |
| 16 | 2000 | 11 | |
| 17 | 1989 | 10 | |
| 18 | Effect of a nutritional supplement containing N, N-Dimethylglycine (DMG) on the racing standardbred [Horses]. | 1982 | 7 |
| 19 | 1981 | 38 | |
| 20 | 1966 | 5 |
About G. Smith
G. Smith is a scholar working on Medical Laboratory Technology, Equine, Toxicology, Internal Medicine and Statistics and Probability, having authored 52 papers that have together received 873 indexed citations. Recurring topics across this work include Crystal structures of chemical compounds (6 papers), Statistical Methods in Clinical Trials (4 papers), Crystallography and molecular interactions (4 papers), Health Systems, Economic Evaluations, Quality of Life (3 papers), Cancer Genomics and Diagnostics (3 papers), Molecular Sensors and Ion Detection (3 papers), Animal Genetics and Reproduction (3 papers) and Synthesis and Properties of Aromatic Compounds (2 papers). The work is most often cited by research in Internal Medicine (95 citations), Endocrinology, Diabetes and Metabolism (245 citations), Emergency Medical Services (63 citations), Pharmacology (41 citations) and Cancer Research (67 citations). G. Smith has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Daniel J. Knauer, Howard M. Temin, H. W. Whitlock, Mahshid Mehdipour, Mohsen Sharifi, R. Curtis Bay, Fred Wagner, S. Percy Ivy, Pamela Jo Harris and Lixin Song. Their work appears in journals such as Clinical Cancer Research, Journal of Cellular Physiology, Tetrahedron Letters, Acta Crystallographica Section C Crystal Structure Communications and Journal of Clinical Oncology.
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.