Clara Lam
Impact in
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- Glioma Diagnosis and Treatment
- Myeloproliferative Neoplasms: Diagnosis and Treatment
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- Acute Myeloid Leukemia Research
Papers in
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- Advanced Breast Cancer Therapies 5
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- Acute Myeloid Leukemia Research 3
- Chronic Myeloid Leukemia Treatments 2
- Co-authors
- Martha S. Linet (3 shared papers)Diana R. Withrow (2 shared papers)Meredith S. Shiels (3 shared papers)Amy Berrington de González (2 shared papers)Graça M. Dores (4 shared papers)Margaret A. Tucker (4 shared papers)Rochelle E. Curtis (4 shared papers)Lindsay M. Morton (4 shared papers)
- Journals
- JNCI Monographs (4 papers)JCO Clinical Cancer Informatics (2 papers)Journal of Clinical Oncology (2 papers)Cancer (2 papers)JCO Oncology Practice (2 papers)
- Partner nations
- United StatesUnited KingdomJapan
In The Last Decade
Clara Lam
19 papers receiving 350 citations
Peers
Comparison fields: 5 of 52
- Genetics 52
- Hematology 52
- Endocrinology, Diabetes and Metabolism 75
- Oncology 74
- Health Informatics 3
Countries citing papers authored by Clara Lam
This map shows the geographic impact of Clara Lam'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 Clara Lam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Clara Lam more than expected).
Fields of papers citing papers by Clara Lam
This network shows the impact of papers produced by Clara Lam. 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 Clara Lam. The network helps show where Clara Lam may publish in the future.
Co-authors
The 25 scholars most cited alongside Clara Lam, 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 | 2018 | 124 | |
| 2 | 2019 | 90 | |
| 3 | 2018 | 31 | |
| 4 | 2015 | 28 | |
| 5 | 2016 | 26 | |
| 6 | 2018 | 13 | |
| 7 | 2019 | 10 | |
| 8 | 2019 | 9 | |
| 9 | 2019 | 4 | |
| 10 | 2020 | 4 | |
| 11 | 2021 | 3 | |
| 12 | 2020 | 3 | |
| 13 | 2020 | 2 | |
| 14 | 2015 | 1 | |
| 15 | 2023 | 1 | |
| 16 | 2024 | 1 | |
| 17 | 2015 | 1 | |
| 18 | 2023 | 1 | |
| 19 | Quality Assessment of Tumor Size Data Collection for Pancreatic and Breast Cancer in SEER. | 2018 | 1 |
| 20 | 2024 | 0 |
About Clara Lam
Clara Lam is a scholar working on Pulmonary and Respiratory Medicine, Hematology, Molecular Biology, Pathology and Forensic Medicine and Oncology, having authored 20 papers that have together received 353 indexed citations. Recurring topics across this work include Advanced Breast Cancer Therapies (5 papers), Acute Myeloid Leukemia Research (3 papers), Multiple and Secondary Primary Cancers (2 papers), Chronic Myeloid Leukemia Treatments (2 papers), Acute Lymphoblastic Leukemia research (2 papers), HER2/EGFR in Cancer Research (2 papers), Economic and Financial Impacts of Cancer (2 papers) and Cancer Genomics and Diagnostics (1 paper). The work is most often cited by research in Genetics (52 citations), Hematology (52 citations), Endocrinology, Diabetes and Metabolism (75 citations), Oncology (74 citations) and Health Informatics (3 citations). Clara Lam has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Martha S. Linet, Diana R. Withrow, Meredith S. Shiels, Amy Berrington de González, Graça M. Dores, Margaret A. Tucker, Rochelle E. Curtis, Lindsay M. Morton, Byron Sigel and Sara J. Schonfeld. Their work appears in journals such as JNCI Monographs, JCO Clinical Cancer Informatics, Journal of Clinical Oncology, Cancer and JCO Oncology Practice.
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.