SS Clark
Impact in
- Hematology top 2%
- Chronic Myeloid Leukemia Treatments
- Acute Myeloid Leukemia Research
- Hematopoietic Stem Cell Transplantation
- Genetics top 5%
- Chronic Lymphocytic Leukemia Research
Papers in
-
- Chronic Myeloid Leukemia Treatments 8
- Genetics 4
- Chronic Lymphocytic Leukemia Research 4
- Co-authors
- Owen N. Witte (3 shared papers)Ernest S. Kawasaki (2 shared papers)Richard E. Champlin (1 shared paper)Mazie Coyne (1 shared paper)Frank McCormick (1 shared paper)Stephen D. Smith (1 shared paper)Charles L. Sawyers (1 shared paper)RE Champlin (1 shared paper)
- Journals
- Blood (5 papers)Leukemia (3 papers)Proceedings of the National Academy of Sciences (2 papers)Journal of Virology (1 paper)PubMed (1 paper)
- Partner nations
- United StatesSwitzerland
In The Last Decade
SS Clark
12 papers receiving 852 citations
SS Clark's Hit Papers
Peers
Comparison fields: 5 of 82
- Hematology 455
- Genetics 226
- Rheumatology 108
- Public Health, Environmental and Occupational Health 198
- Immunology 142
Countries citing papers authored by SS Clark
This map shows the geographic impact of SS Clark'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 SS Clark with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites SS Clark more than expected).
Fields of papers citing papers by SS Clark
This network shows the impact of papers produced by SS Clark. 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 SS Clark. The network helps show where SS Clark may publish in the future.
Co-authors
The 21 scholars most cited alongside SS Clark, 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 | Diagnosis of chronic myeloid and acute lymphocytic leukemias by detection of leukemia-specific mRNA sequences amplified in vitro. Hit paper breakdown → | 1988 | 603 |
| 2 | 1990 | 111 | |
| 3 | 1994 | 43 | |
| 4 | 2002 | 30 | |
| 5 | 1989 | 26 | |
| 6 | 1999 | 25 | |
| 7 | 1993 | 20 | |
| 8 | Simultaneous expression of RBTN-2 and BCR-ABL oncogenes in a T-ALL with a t(11;14)(p13;q11) and a late-appearing Philadelphia chromosome. | 1994 | 12 |
| 9 | 1994 | 5 | |
| 10 | 1997 | 3 | |
| 11 | 1989 | 1 | |
| 12 | 1994 | 1 |
About SS Clark
SS Clark is a scholar working on Hematology, Genetics, Immunology, Pathology and Forensic Medicine and Public Health, Environmental and Occupational Health, having authored 12 papers that have together received 880 indexed citations. Recurring topics across this work include Chronic Myeloid Leukemia Treatments (8 papers), Chronic Lymphocytic Leukemia Research (4 papers), Lymphoma Diagnosis and Treatment (3 papers), Acute Lymphoblastic Leukemia research (3 papers), T-cell and Retrovirus Studies (2 papers), CAR-T cell therapy research (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Hematology (455 citations), Genetics (226 citations), Rheumatology (108 citations), Public Health, Environmental and Occupational Health (198 citations) and Immunology (142 citations). SS Clark has collaborated with scholars based in United States and Switzerland. Frequent co-authors include Owen N. Witte, Ernest S. Kawasaki, Richard E. Champlin, Mazie Coyne, Frank McCormick, Stephen D. Smith, Charles L. Sawyers, RE Champlin, Marco Fizzotti and Gareth Jenkins. Their work appears in journals such as Blood, Leukemia, Proceedings of the National Academy of Sciences, Journal of Virology 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.