R. Neal Smith
- Surgery top 1%
- Immunology top 1%
- Transplantation top 0.2%
- Molecular Biology top 10%
- Genetics top 2%
- Co-authors
- Robert B. ColvinHugh AuchinclossMohamed H. SayeghAtul K. BhanAtsushi MizoguchiA. Benedict CosimiWilliam RosnerTatsuo Kawai
- Topics
- Renal Transplantation Outcomes and Treatments (31 papers)Organ Transplantation Techniques and Outcomes (21 papers)Transplantation: Methods and Outcomes (17 papers)
- Cited by
- TransplantationImmunologySurgery
- Journals
- New England Journal of MedicineJournal of Biological ChemistryJournal of Clinical Investigation
- Partner nations
- United StatesCanadaJapan
In The Last Decade
R. Neal Smith
98 papers receiving 5.5k citations
Hit Papers
Peers
Comparison fields: 5 of 122
- Surgery 2.1k
- Immunology 1.8k
- Transplantation 1.4k
- Molecular Biology 1000
- Genetics 842
Countries citing papers authored by R. Neal Smith
This map shows the geographic impact of R. Neal 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 R. Neal Smith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. Neal Smith more than expected).
Fields of papers citing papers by R. Neal Smith
This network shows the impact of papers produced by R. Neal 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 R. Neal Smith. The network helps show where R. Neal Smith may publish in the future.
Co-authorship network of co-authors of R. Neal Smith
This figure shows the co-authorship network connecting the top 25 collaborators of R. Neal Smith. A scholar is included among the top collaborators of R. Neal 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 R. Neal Smith. R. Neal 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 | 3 | |
| 2 | 16 | |
| 3 | 23 | |
| 4 | 37 | |
| 5 | 114 | |
| 6 | 11 | |
| 7 | 43 | |
| 8 | 1 | |
| 9 | 48 | |
| 10 | 77 | |
| 11 | 56 | |
| 12 | 83 | |
| 13 | 68 | |
| 14 | 37 | |
| 15 | 57 | |
| 16 | 68 | |
| 17 | 74 | |
| 18 | 18 | |
| 19 | Report of the 20th Workshop of the AIDPIT Study Group (Artificial Insulin Delivery Systems, Pancreas and Islet Transplantation). | 0 |
| 20 | 119 |
About R. Neal Smith
R. Neal Smith is a scholar working on Transplantation, Immunology and Surgery, having authored 100 papers that have together received 5.7k indexed citations. Recurring topics across this work include Renal Transplantation Outcomes and Treatments (31 papers), Organ Transplantation Techniques and Outcomes (21 papers) and Transplantation: Methods and Outcomes (17 papers). The work is most often cited by research in Transplantation (1.4k citations), Immunology (1.8k citations) and Surgery (2.1k citations). R. Neal Smith has collaborated with scholars based in United States, Canada and Japan. Frequent co-authors include Robert B. Colvin, Hugh Auchincloss, Mohamed H. Sayegh, Atul K. Bhan, Atsushi Mizoguchi, A. Benedict Cosimi, William Rosner, Tatsuo Kawai, Frederic I. Preffer and Mohammed Javeed Ansari. Their work appears in journals such as New England Journal of Medicine, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.