Clara Lam
Impact in
-
- BRCA gene mutations in cancer
-
- Acute Myeloid Leukemia Research
Papers in ⓘ
- Oncology 8
- HER2/EGFR in Cancer Research 3
- Cancer Treatment and Pharmacology 2
-
- Acute Myeloid Leukemia Research 3
- Co-authors
- Martha S. Linet (3 shared papers)Diana R. Withrow (2 shared papers)Amy Berrington de González (2 shared papers)Meredith S. Shiels (3 shared papers)Lindsay M. Morton (4 shared papers)Rochelle E. Curtis (4 shared papers)Graça M. Dores (4 shared papers)Margaret A. Tucker (4 shared papers)
- Journals
- JNCI Monographs (4 papers)Cancer (2 papers)JCO Oncology Practice (2 papers)Journal of Clinical Oncology (2 papers)JCO Clinical Cancer Informatics (2 papers)
- Partner nations
- United StatesUnited KingdomJapan
In The Last Decade
Clara Lam
19 papers receiving 336 citations
Peers
Comparison fields: 5 of 63
- Genetics 54
- Hematology 55
- Oncology 127
- Endocrinology, Diabetes and Metabolism 75
- 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 | 119 | |
| 2 | 2019 | 85 | |
| 3 | 2018 | 29 | |
| 4 | 2015 | 27 | |
| 5 | 2016 | 26 | |
| 6 | 2018 | 13 | |
| 7 | 2019 | 9 | |
| 8 | 2019 | 9 | |
| 9 | 2019 | 4 | |
| 10 | 2020 | 4 | |
| 11 | 2020 | 3 | |
| 12 | 2021 | 3 | |
| 13 | 2020 | 2 | |
| 14 | 2023 | 1 | |
| 15 | 2015 | 1 | |
| 16 | 2023 | 1 | |
| 17 | 2015 | 1 | |
| 18 | 2024 | 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 Oncology, Hematology, Pulmonary and Respiratory Medicine, Cancer Research and Genetics, having authored 20 papers that have together received 339 indexed citations. Recurring topics across this work include Advanced Breast Cancer Therapies (5 papers), Economic and Financial Impacts of Cancer (4 papers), Acute Myeloid Leukemia Research (3 papers), Acute Lymphoblastic Leukemia research (3 papers), HER2/EGFR in Cancer Research (3 papers), Cancer Treatment and Pharmacology (2 papers), Lymphoma Diagnosis and Treatment (2 papers) and Cancer Genomics and Diagnostics (2 papers). The work is most often cited by research in Genetics (54 citations), Hematology (55 citations), Oncology (127 citations), Endocrinology, Diabetes and Metabolism (75 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, Amy Berrington de González, Meredith S. Shiels, Lindsay M. Morton, Rochelle E. Curtis, Graça M. Dores, Margaret A. Tucker, Byron Sigel and Sara J. Schonfeld. Their work appears in journals such as JNCI Monographs, Cancer, JCO Oncology Practice, Journal of Clinical Oncology and JCO Clinical Cancer Informatics.
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.