Stella Lam
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Oncology top 10%
- Chemokine receptors and signaling
- Cutaneous Melanoma Detection and Management
- Cancer Cells and Metastasis
Papers in
- Oncology 7
- Cancer Cells and Metastasis 3
- Cutaneous Melanoma Detection and Management 2
- Chemokine receptors and signaling 2
-
- Cancer Genomics and Diagnostics 2
- MicroRNA in disease regulation 2
- Cancer-related molecular mechanisms research 2
- Co-authors
- Dave S.�B. Hoon (10 shared papers)Leland J. Foshag (4 shared papers)Shigeshi Ono (3 shared papers)Roderick R. Turner (1 shared paper)Christine Kuo (1 shared paper)He-Jing Wang (1 shared paper)Joseph Kim (2 shared papers)Hiroya Takeuchi (1 shared paper)
- Journals
- Clinical Chemistry (1 paper)Journal of the American College of Surgeons (1 paper)Clinical Cancer Research (1 paper)Oncotarget (1 paper)Journal of Clinical Investigation (1 paper)
- Partner nations
- United StatesSingaporeAustralia
In The Last Decade
Stella Lam
10 papers receiving 693 citations
Peers
Comparison fields: 5 of 63
- Cancer Research 221
- Oncology 371
- Immunology 177
- Immunology and Allergy 29
- Molecular Biology 307
Countries citing papers authored by Stella Lam
This map shows the geographic impact of Stella 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 Stella Lam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stella Lam more than expected).
Fields of papers citing papers by Stella Lam
This network shows the impact of papers produced by Stella 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 Stella Lam. The network helps show where Stella Lam may publish in the future.
Co-authors
The 25 scholars most cited alongside Stella 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 | 2005 | 324 | |
| 2 | 2015 | 118 | |
| 3 | 2015 | 77 | |
| 4 | 2014 | 73 | |
| 5 | 2008 | 54 | |
| 6 | 2017 | 29 | |
| 7 | 2019 | 24 | |
| 8 | 2013 | 10 | |
| 9 | 2017 | 2 | |
| 10 | 2004 | 2 |
About Stella Lam
Stella Lam is a scholar working on Oncology, Cancer Research, Molecular Biology, Immunology and Immunology and Allergy, having authored 10 papers that have together received 713 indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (3 papers), Cancer Genomics and Diagnostics (2 papers), Immunotherapy and Immune Responses (2 papers), Cutaneous Melanoma Detection and Management (2 papers), Chemokine receptors and signaling (2 papers), MicroRNA in disease regulation (2 papers), Cancer-related molecular mechanisms research (2 papers) and Extracellular vesicles in disease (2 papers). The work is most often cited by research in Cancer Research (221 citations), Oncology (371 citations), Immunology (177 citations), Immunology and Allergy (29 citations) and Molecular Biology (307 citations). Stella Lam has collaborated with scholars based in United States, Singapore and Australia. Frequent co-authors include Dave S.�B. Hoon, Leland J. Foshag, Shigeshi Ono, Roderick R. Turner, Christine Kuo, He-Jing Wang, Joseph Kim, Hiroya Takeuchi, Anton J. Bilchik and Makoto Nagahara. Their work appears in journals such as Clinical Chemistry, Journal of the American College of Surgeons, Clinical Cancer Research, Oncotarget and Journal of Clinical Investigation.
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.