J. Smith
Impact in
- Genetics top 10%
- Chronic Lymphocytic Leukemia Research
- Virus-based gene therapy research
- Myeloproliferative Neoplasms: Diagnosis and Treatment
- Hemoglobinopathies and Related Disorders
- Hematology top 10%
Papers in
- Genetics 3
- Chronic Lymphocytic Leukemia Research 2
- Hemoglobinopathies and Related Disorders 1
- Co-authors
- Stephen A. Landaw (2 shared papers)Paulding Phelps (1 shared paper)Frederick R. Davey (2 shared papers)Anthony S. Kurec (2 shared papers)Arlan J. Gottlieb (2 shared papers)D.S. Latchman (1 shared paper)Caroline E. Lilley (1 shared paper)R. S. Coffin (1 shared paper)
- Journals
- American Journal of Hematology (2 papers)British Journal of Haematology (1 paper)American Journal of Perinatology (1 paper)New England Journal of Medicine (1 paper)American Journal of Clinical Pathology (1 paper)
- Partner nations
- United StatesUnited KingdomIndia
In The Last Decade
J. Smith
11 papers receiving 435 citations
Peers
Comparison fields: 5 of 78
- Genetics 141
- Hematology 76
- Nephrology 44
- Immunology 113
- Pathology and Forensic Medicine 70
Countries citing papers authored by J. Smith
This map shows the geographic impact of 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 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 J. Smith more than expected).
Fields of papers citing papers by J. Smith
This network shows the impact of papers produced by 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 J. Smith. The network helps show where J. Smith may publish in the future.
Co-authors
The 25 scholars most cited alongside J. 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 | 1978 | 165 | |
| 2 | 2000 | 95 | |
| 3 | 1992 | 57 | |
| 4 | 1972 | 40 | |
| 5 | 1987 | 33 | |
| 6 | 1987 | 26 | |
| 7 | 1992 | 19 | |
| 8 | 1985 | 13 | |
| 9 | 2010 | 11 | |
| 10 | 1969 | 2 | |
| 11 | 2019 | 1 |
About J. Smith
J. Smith is a scholar working on Genetics, Epidemiology, Immunology, Surgery and Molecular Biology, having authored 11 papers that have together received 462 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (2 papers), Immunodeficiency and Autoimmune Disorders (2 papers), Blood groups and transfusion (2 papers), Platelet Disorders and Treatments (2 papers), Clinical practice guidelines implementation (1 paper), Delphi Technique in Research (1 paper), Hemoglobinopathies and Related Disorders (1 paper) and Complement system in diseases (1 paper). The work is most often cited by research in Genetics (141 citations), Hematology (76 citations), Nephrology (44 citations), Immunology (113 citations) and Pathology and Forensic Medicine (70 citations). J. Smith has collaborated with scholars based in United States, United Kingdom and India. Frequent co-authors include Stephen A. Landaw, Paulding Phelps, Frederick R. Davey, Anthony S. Kurec, Arlan J. Gottlieb, D.S. Latchman, Caroline E. Lilley, R. S. Coffin, James A. Palmer and Mark J. Robinson. Their work appears in journals such as American Journal of Hematology, British Journal of Haematology, American Journal of Perinatology, New England Journal of Medicine and American Journal of Clinical Pathology.
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.