Lawrence N. Button
Impact in
- Genetics top 10%
- Chronic Lymphocytic Leukemia Research
- Biochemistry top 10%
- Blood transfusion and management
Papers in
-
- Blood groups and transfusion 6
- Platelet Disorders and Treatments 2
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- Blood transfusion and management 5
- Co-authors
- William D. Kaplan (1 shared paper)Donald Küfe (1 shared paper)Lee M. Nadler (1 shared paper)Russell Hardy (1 shared paper)Stuart F. Schlossman (1 shared paper)Karen H. Antman (1 shared paper)Philip Stashenko (1 shared paper)John G. Gibson (4 shared papers)
- Journals
- Transfusion (4 papers)PEDIATRICS (2 papers)The American Journal of Cardiology (1 paper)Circulation (1 paper)Vox Sanguinis (1 paper)
- Partner nations
- United StatesCanadaNigeria
In The Last Decade
Lawrence N. Button
13 papers receiving 555 citations
Peers
Comparison fields: 5 of 83
- Genetics 141
- Biochemistry 71
- Radiology, Nuclear Medicine and Imaging 247
- Hematology 121
- Internal Medicine 20
Countries citing papers authored by Lawrence N. Button
This map shows the geographic impact of Lawrence N. Button'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 Lawrence N. Button with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lawrence N. Button more than expected).
Fields of papers citing papers by Lawrence N. Button
This network shows the impact of papers produced by Lawrence N. Button. 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 Lawrence N. Button. The network helps show where Lawrence N. Button may publish in the future.
Co-authors
The 18 scholars most cited alongside Lawrence N. Button, 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 | Serotherapy of a patient with a monoclonal antibody directed against a human lymphoma-associated antigen. | 1980 | 345 |
| 2 | 1970 | 79 | |
| 3 | 1961 | 44 | |
| 4 | 1965 | 44 | |
| 5 | 1971 | 44 | |
| 6 | 1957 | 28 | |
| 7 | Use of homologous platelet survival in differential diagnoses of chronic thrombocytopenia in childhood. | 1977 | 23 |
| 8 | 1965 | 22 | |
| 9 | 1977 | 20 | |
| 10 | 1977 | 13 | |
| 11 | 1966 | 7 | |
| 12 | 1963 | 4 | |
| 13 | 1957 | 2 | |
| 14 | 1985 | 1 |
About Lawrence N. Button
Lawrence N. Button is a scholar working on Hematology, Biochemistry, Internal Medicine, Management of Technology and Innovation and Surgery, having authored 14 papers that have together received 676 indexed citations. Recurring topics across this work include Blood groups and transfusion (6 papers), Blood transfusion and management (5 papers), Blood donation and transfusion practices (3 papers), Venous Thromboembolism Diagnosis and Management (3 papers), Hemoglobinopathies and Related Disorders (2 papers), Blood disorders and treatments (2 papers), Platelet Disorders and Treatments (2 papers) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Genetics (141 citations), Biochemistry (71 citations), Radiology, Nuclear Medicine and Imaging (247 citations), Hematology (121 citations) and Internal Medicine (20 citations). Lawrence N. Button has collaborated with scholars based in United States, Canada and Nigeria. Frequent co-authors include William D. Kaplan, Donald Küfe, Lee M. Nadler, Russell Hardy, Stuart F. Schlossman, Karen H. Antman, Philip Stashenko, John G. Gibson, David G. Nathan and Amnon Rosenthal. Their work appears in journals such as Transfusion, PEDIATRICS, The American Journal of Cardiology, Circulation and Vox Sanguinis.
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.