L.R. Silverman
Impact in
- Hematology top 5%
- Acute Myeloid Leukemia Research
- Hematopoietic Stem Cell Transplantation
- Chronic Myeloid Leukemia Treatments
- Genetics top 5%
- Myeloproliferative Neoplasms: Diagnosis and Treatment
Papers in
- Hematology 16
- Acute Myeloid Leukemia Research 13
- Chronic Myeloid Leukemia Treatments 5
- Multiple Myeloma Research and Treatments 2
- Genetics 10
- Myeloproliferative Neoplasms: Diagnosis and Treatment 7
- Chronic Lymphocytic Leukemia Research 3
- Co-authors
- Suzanne J. Baker (1 shared paper)E. Premkumar Reddy (1 shared paper)Shashi Jatiani (1 shared paper)Pierre Fenaux (9 shared papers)Alan F. List (7 shared papers)Eva Hellström‐Lindberg (8 shared papers)Valeria Santini (7 shared papers)John M. Bennett (4 shared papers)
- Journals
- Journal of Clinical Oncology (6 papers)Leukemia Research (6 papers)Haematologica (2 papers)Genes & Cancer (1 paper)Blood (1 paper)
- Partner nations
- United StatesItalyAustralia
In The Last Decade
L.R. Silverman
18 papers receiving 500 citations
Peers
Comparison fields: 5 of 68
- Hematology 320
- Genetics 150
- Oncology 100
- Molecular Biology 187
- Biological Psychiatry 6
Countries citing papers authored by L.R. Silverman
This map shows the geographic impact of L.R. Silverman'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 L.R. Silverman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites L.R. Silverman more than expected).
Fields of papers citing papers by L.R. Silverman
This network shows the impact of papers produced by L.R. Silverman. 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 L.R. Silverman. The network helps show where L.R. Silverman may publish in the future.
Co-authors
The 25 scholars most cited alongside L.R. Silverman, 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 | 2010 | 184 | |
| 2 | 2013 | 105 | |
| 3 | 2007 | 75 | |
| 4 | 2008 | 39 | |
| 5 | 2008 | 36 | |
| 6 | 2009 | 12 | |
| 7 | 1999 | 11 | |
| 8 | 2013 | 11 | |
| 9 | 2010 | 11 | |
| 10 | 2008 | 8 | |
| 11 | 2013 | 5 | |
| 12 | 1997 | 5 | |
| 13 | 2009 | 4 | |
| 14 | 2010 | 3 | |
| 15 | 2008 | 2 | |
| 16 | 2015 | 1 | |
| 17 | 2015 | 1 | |
| 18 | 2009 | 1 |
About L.R. Silverman
L.R. Silverman is a scholar working on Hematology, Genetics, Molecular Biology, Epidemiology and Infectious Diseases, having authored 18 papers that have together received 514 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (13 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (7 papers), Chronic Myeloid Leukemia Treatments (5 papers), Pneumocystis jirovecii pneumonia detection and treatment (3 papers), Chronic Lymphocytic Leukemia Research (3 papers), Histone Deacetylase Inhibitors Research (2 papers), Multiple Myeloma Research and Treatments (2 papers) and Immunodeficiency and Autoimmune Disorders (2 papers). The work is most often cited by research in Hematology (320 citations), Genetics (150 citations), Oncology (100 citations), Molecular Biology (187 citations) and Biological Psychiatry (6 citations). L.R. Silverman has collaborated with scholars based in United States, Italy and Australia. Frequent co-authors include Suzanne J. Baker, E. Premkumar Reddy, Shashi Jatiani, Pierre Fenaux, Alan F. List, Eva Hellström‐Lindberg, Valeria Santini, John M. Bennett, C.L. Beach and John F. Seymour. Their work appears in journals such as Journal of Clinical Oncology, Leukemia Research, Haematologica, Genes & Cancer and Blood.
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.