Susan S. Leong
- Cancer Research top 5%
- Cancer, Hypoxia, and Metabolism 2
- Oncology top 5%
- Cancer Treatment and Pharmacology 2
- Molecular Biology top 5%
- Glycosylation and Glycoproteins Research 2
-
- Immunotherapy and Immune Responses 4
-
- Neuroendocrine Tumor Research Advances 3
-
- Chronic Lymphocytic Leukemia Research 2
-
- Erythrocyte Function and Pathophysiology 2
-
- Chronic Myeloid Leukemia Treatments 2
- Co-authors
- Julius S. HoroszewiczT. Ming ChuE. A. MirandHannah RosenthalJames P. KarrElzbieta KawinskiG P MurphyLawrence D. Papsidero
- Journals
- Science (1 paper)Journal of Biological Chemistry (2 papers)The Journal of Clinical Endocrinology & Metabolism (1 paper)
- Partner nations
- United StatesHong Kong
In The Last Decade
Susan S. Leong
26 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Pulmonary and Respiratory Medicine 1.1k
- Cancer Research 395
- Endocrinology, Diabetes and Metabolism 392
- Oncology 627
- Molecular Biology 1.4k
Countries citing papers authored by Susan S. Leong
This map shows the geographic impact of Susan S. Leong'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 Susan S. Leong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Susan S. Leong more than expected).
Fields of papers citing papers by Susan S. Leong
This network shows the impact of papers produced by Susan S. Leong. 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 Susan S. Leong. The network helps show where Susan S. Leong may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Susan S. Leong, 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 | 1988 | 33 | |
| 2 | 1987 | 13 | |
| 3 | 1987 | 46 | |
| 4 | 1986 | 21 | |
| 5 | 1986 | 3 | |
| 6 | 1986 | 27 | |
| 7 | 1985 | 76 | |
| 8 | 1985 | 7 | |
| 9 | 1984 | 52 | |
| 10 | 1984 | 2 | |
| 11 | 1983 | 12 | |
| 12 | LNCaP model of human prostatic carcinoma.breakdown → | 1983 | 1528 |
| 13 | 1982 | 137 | |
| 14 | 1981 | 159 | |
| 15 | The LNCaP cell line--a new model for studies on human prostatic carcinoma.breakdown → | 1980 | 450 |
| 16 | 1979 | 8 | |
| 17 | Circulating colony-forming cells in different stages of chronic myelocytic leukemia. | 1979 | 15 |
| 18 | 1979 | 9 | |
| 19 | 1978 | 39 | |
| 20 | 1977 | 4 |
About Susan S. Leong
Susan S. Leong is a scholar working on Hematology, Genetics and Oncology, having authored 26 papers that have together received 2.9k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (4 papers), Neuroendocrine Tumor Research Advances (3 papers), Glycosylation and Glycoproteins Research (2 papers), Chronic Lymphocytic Leukemia Research (2 papers), Cancer, Hypoxia, and Metabolism (2 papers), Erythrocyte Function and Pathophysiology (2 papers), Cancer Treatment and Pharmacology (2 papers) and Chronic Myeloid Leukemia Treatments (2 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (1.1k citations), Cancer Research (395 citations) and Endocrinology, Diabetes and Metabolism (392 citations). Susan S. Leong has collaborated with scholars based in United States and Hong Kong. Frequent co-authors include Julius S. Horoszewicz, T. Ming Chu, E. A. Mirand, Hannah Rosenthal, James P. Karr, Elzbieta Kawinski, G P Murphy, Lawrence D. Papsidero, William A. Carter and A A Sandberg. Their work appears in journals such as Science, Journal of Biological Chemistry and The Journal of Clinical Endocrinology & Metabolism.
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.