CL Reading
Impact in
- Hematology top 5%
- Acute Myeloid Leukemia Research
- Hematopoietic Stem Cell Transplantation
- Multiple Myeloma Research and Treatments
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- Virus-based gene therapy research
Papers in
-
- Hematopoietic Stem Cell Transplantation 4
- Acute Myeloid Leukemia Research 1
-
- Breast Cancer Treatment Studies 1
- Co-authors
- AB Deisseroth (3 shared papers)David F. Claxton (2 shared papers)Douglas E. Williams (1 shared paper)Kateri Ann Moore (1 shared paper)YO Huh (2 shared papers)EH Estey (1 shared paper)Leon W.M.M. Terstappen (1 shared paper)Szilvia Baron (1 shared paper)
- Journals
- Blood (6 papers)PubMed (4 papers)
- Partner nations
- United StatesJapan
In The Last Decade
CL Reading
10 papers receiving 526 citations
Peers
Comparison fields: 5 of 36
- Hematology 320
- Genetics 108
- Emergency Medicine 16
- Public Health, Environmental and Occupational Health 65
- Oncology 40
Countries citing papers authored by CL Reading
This map shows the geographic impact of CL Reading'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 CL Reading with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites CL Reading more than expected).
Fields of papers citing papers by CL Reading
This network shows the impact of papers produced by CL Reading. 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 CL Reading. The network helps show where CL Reading may publish in the future.
Co-authors
The 25 scholars most cited alongside CL Reading, 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 | 1993 | 159 | |
| 2 | 1992 | 128 | |
| 3 | 1992 | 86 | |
| 4 | 1996 | 68 | |
| 5 | 1990 | 45 | |
| 6 | The role of autologous bone marrow transplantation in various malignancies. | 1984 | 36 |
| 7 | In vivo and in vitro production and detection of monoclonal antibodies to surface components on metastatic variants of murine tumor cells. | 1981 | 21 |
| 8 | 1987 | 15 | |
| 9 | A monoclonal antibody cocktail for detection of micrometastatic tumor cells in the bone marrow of breast cancer patients. | 1989 | 12 |
| 10 | Analysis of peripheral blood granulocyte-macrophage colony growth by limiting dilution assay. | 1989 | 2 |
About CL Reading
CL Reading is a scholar working on Hematology, Cancer Research, Radiology, Nuclear Medicine and Imaging, Oncology and Genetics, having authored 10 papers that have together received 572 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (4 papers), Retinoids in leukemia and cellular processes (1 paper), Cancer Cells and Metastasis (1 paper), Virus-based gene therapy research (1 paper), Monoclonal and Polyclonal Antibodies Research (1 paper), Acute Myeloid Leukemia Research (1 paper), Breast Cancer Treatment Studies (1 paper) and Metastasis and carcinoma case studies (1 paper). The work is most often cited by research in Hematology (320 citations), Genetics (108 citations), Emergency Medicine (16 citations), Public Health, Environmental and Occupational Health (65 citations) and Oncology (40 citations). CL Reading has collaborated with scholars based in United States and Japan. Frequent co-authors include AB Deisseroth, David F. Claxton, Douglas E. Williams, Kateri Ann Moore, YO Huh, EH Estey, Leon W.M.M. Terstappen, Szilvia Baron, Sundar Jagannath and José Manuel Trujillo. Their work appears in journals such as Blood and PubMed.
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.