Suzanne J. Smith
- Pulmonary and Respiratory Medicine top 10%
- Pathology and Forensic Medicine top 5%
- Surgery
- Molecular Biology
- Pharmacology top 10%
- Co-authors
- Francis J. KeefeDavid S. CaldwellAlec J. MegibowS C HoriiDonald H. HulnickM A BosniakB N RaghavendraJamie L. Studts
- Topics
- Renal and related cancers (5 papers)Pediatric Urology and Nephrology Studies (5 papers)Fibromyalgia and Chronic Fatigue Syndrome Research (3 papers)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Suzanne J. Smith
29 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 88
- Pulmonary and Respiratory Medicine 325
- Pathology and Forensic Medicine 252
- Surgery 218
- Molecular Biology 190
- Pharmacology 154
Countries citing papers authored by Suzanne J. Smith
This map shows the geographic impact of Suzanne J. 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 Suzanne J. Smith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suzanne J. Smith more than expected).
Fields of papers citing papers by Suzanne J. Smith
This network shows the impact of papers produced by Suzanne J. 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 Suzanne J. Smith. The network helps show where Suzanne J. Smith may publish in the future.
Co-authorship network of co-authors of Suzanne J. Smith
This figure shows the co-authorship network connecting the top 25 collaborators of Suzanne J. Smith. A scholar is included among the top collaborators of Suzanne J. Smith based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Suzanne J. Smith. Suzanne J. Smith is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 4 | |
| 3 | 4 | |
| 4 | 4 | |
| 5 | 13 | |
| 6 | 49 | |
| 7 | 63 | |
| 8 | 144 | |
| 9 | 27 | |
| 10 | 111 | |
| 11 | 12 | |
| 12 | 23 | |
| 13 | 286 | |
| 14 | 4 | |
| 15 | 2 | |
| 16 | The U.S. National Reference Preparation for alpha-fetoprotein in mid-pregnancy maternal serum. | 3 |
| 17 | 13 | |
| 18 | 9 | |
| 19 | 3 | |
| 20 | 23 |
About Suzanne J. Smith
Suzanne J. Smith is a scholar working on Urology, Pediatrics, Perinatology and Child Health and Applied Psychology, having authored 30 papers that have together received 1.1k indexed citations. Recurring topics across this work include Renal and related cancers (5 papers), Pediatric Urology and Nephrology Studies (5 papers) and Fibromyalgia and Chronic Fatigue Syndrome Research (3 papers). The work is most often cited by research in Dermatology (128 citations), Pathology and Forensic Medicine (252 citations) and Pulmonary and Respiratory Medicine (325 citations). Suzanne J. Smith has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Francis J. Keefe, David S. Caldwell, Alec J. Megibow, S C Horii, Donald H. Hulnick, M A Bosniak, B N Raghavendra, Jamie L. Studts, Angela L.H. Buffington and Jessica Gibson. Their work appears in journals such as Nature Medicine, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.
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.