S. M. Lewis
- Hematology top 0.2%
- Genetics top 0.5%
- Physiology top 1%
- Immunology top 2%
- Pulmonary and Respiratory Medicine top 5%
- Co-authors
- J. V. DacieL. SzurPeter HillmenMonica BesslerLucio LuzzattoP. N. MarshallSharon A BentleyBrian S. Bull
- Topics
- Hemoglobinopathies and Related Disorders (43 papers)Erythrocyte Function and Pathophysiology (33 papers)Clinical Laboratory Practices and Quality Control (33 papers)
- Cited by
- HematologyGeneticsNephrology
- Partner nations
- United KingdomUnited StatesItaly
In The Last Decade
S. M. Lewis
201 papers receiving 5.2k citations
Hit Papers
Peers
Comparison fields: 5 of 157
- Hematology 2.1k
- Genetics 1.7k
- Physiology 1.4k
- Immunology 1.1k
- Pulmonary and Respiratory Medicine 752
Countries citing papers authored by S. M. Lewis
This map shows the geographic impact of S. M. Lewis'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 S. M. Lewis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. M. Lewis more than expected).
Fields of papers citing papers by S. M. Lewis
This network shows the impact of papers produced by S. M. Lewis. 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 S. M. Lewis. The network helps show where S. M. Lewis may publish in the future.
Co-authorship network of co-authors of S. M. Lewis
This figure shows the co-authorship network connecting the top 25 collaborators of S. M. Lewis. A scholar is included among the top collaborators of S. M. Lewis 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 S. M. Lewis. S. M. Lewis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 32 | |
| 2 | 41 | |
| 3 | International Council for Standardization in Haematology (ICSH) recommendations for single-use evacuated containers for blood specimen collection for hematological analyses | 2 |
| 4 | 1 | |
| 5 | 17 | |
| 6 | Patient survey of a pharmacist-managed anticoagulation clinic. | 11 |
| 7 | 182 | |
| 8 | 5 | |
| 9 | 1 | |
| 10 | 4 | |
| 11 | 1 | |
| 12 | 24 | |
| 13 | Myelofibrosis : pathophysiology and clinical management | 3 |
| 14 | 24 | |
| 15 | Recommended Method for Radioisotope Red-Cell Survival Studies | 34 |
| 16 | 8 | |
| 17 | 37 | |
| 18 | 24 | |
| 19 | 15 | |
| 20 | 24 |
About S. M. Lewis
S. M. Lewis is a scholar working on Genetics, Hematology and Physiology, having authored 206 papers that have together received 5.9k indexed citations. Recurring topics across this work include Hemoglobinopathies and Related Disorders (43 papers), Erythrocyte Function and Pathophysiology (33 papers) and Clinical Laboratory Practices and Quality Control (33 papers). The work is most often cited by research in Hematology (2.1k citations), Genetics (1.7k citations) and Nephrology (573 citations). S. M. Lewis has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include J. V. Dacie, L. Szur, Peter Hillmen, Monica Bessler, Lucio Luzzatto, P. N. Marshall, Sharon A Bentley, Brian S. Bull, J. M. England and John E. Pettit. Their work appears in journals such as Nature, New England Journal of Medicine and The Lancet.
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.