Stephen Lim
Impact in
- Genetics top 5%
- Glioma Diagnosis and Treatment
-
- Pituitary Gland Disorders and Treatments
- Growth Hormone and Insulin-like Growth Factors
Papers in
- Hematology 24
- Multiple Myeloma Research and Treatments 19
- Chronic Myeloid Leukemia Treatments 7
- Oncology 17
- CAR-T cell therapy research 11
- Co-authors
- Anthony P. Heaney (1 shared paper)Hrayr K. Shahinian (1 shared paper)William H. Yong (1 shared paper)Jie Zhang (1 shared paper)Rakesh Awasthi (1 shared paper)Harald J. Maier (4 shared papers)Vivien Bonert (1 shared paper)Serguei Bannykh (1 shared paper)
- Journals
- Blood (12 papers)Journal of Clinical Oncology (4 papers)Cancer (2 papers)Hematological Oncology (1 paper)Experimental Hematology (1 paper)
- Partner nations
- United StatesSwitzerlandIndia
In The Last Decade
Stephen Lim
48 papers receiving 583 citations
Peers
Comparison fields: 5 of 56
- Genetics 146
- Endocrinology, Diabetes and Metabolism 201
- Hematology 119
- Oncology 169
- Cancer Research 38
Countries citing papers authored by Stephen Lim
This map shows the geographic impact of Stephen Lim'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 Stephen Lim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen Lim more than expected).
Fields of papers citing papers by Stephen Lim
This network shows the impact of papers produced by Stephen Lim. 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 Stephen Lim. The network helps show where Stephen Lim may publish in the future.
Co-authors
The 25 scholars most cited alongside Stephen Lim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 144 | |
| 2 | 2012 | 72 | |
| 3 | 2013 | 68 | |
| 4 | 2023 | 59 | |
| 5 | 2007 | 29 | |
| 6 | 2020 | 25 | |
| 7 | 2000 | 18 | |
| 8 | 2022 | 15 | |
| 9 | 2002 | 13 | |
| 10 | 2014 | 12 | |
| 11 | Mutation detection using plasma circulating tumor DNA (ctDNA) in a cohort of asymptomatic adults at increased risk for cancer. | 2018 | 12 |
| 12 | 2017 | 11 | |
| 13 | 2021 | 10 | |
| 14 | 2011 | 9 | |
| 15 | 2020 | 9 | |
| 16 | 2022 | 9 | |
| 17 | 2022 | 9 | |
| 18 | 1998 | 7 | |
| 19 | 2022 | 7 | |
| 20 | 1996 | 6 |
About Stephen Lim
Stephen Lim is a scholar working on Hematology, Oncology, Molecular Biology, Genetics and Immunology, having authored 50 papers that have together received 607 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (19 papers), CAR-T cell therapy research (11 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (8 papers), Chronic Myeloid Leukemia Treatments (7 papers), Protein Degradation and Inhibitors (4 papers), Chronic Lymphocytic Leukemia Research (4 papers), Immunotherapy and Immune Responses (3 papers) and Biosimilars and Bioanalytical Methods (3 papers). The work is most often cited by research in Genetics (146 citations), Endocrinology, Diabetes and Metabolism (201 citations), Hematology (119 citations), Oncology (169 citations) and Cancer Research (38 citations). Stephen Lim has collaborated with scholars based in United States, Switzerland and India. Frequent co-authors include Anthony P. Heaney, Hrayr K. Shahinian, William H. Yong, Jie Zhang, Rakesh Awasthi, Harald J. Maier, Vivien Bonert, Serguei Bannykh, Adam N. Mamelak and Anat Ben-Shlomo. Their work appears in journals such as Blood, Journal of Clinical Oncology, Cancer, Hematological Oncology and Experimental Hematology.
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.