Lee Sam
Impact in
- Cancer Research top 5%
- Cancer Genomics and Diagnostics
- Cancer-related molecular mechanisms research
- Molecular Biology top 10%
- Bioinformatics and Genomic Networks
- RNA modifications and cancer
- RNA Research and Splicing
- Genomics and Phylogenetic Studies
- Gene expression and cancer classification
- Molecular Biology Techniques and Applications
Papers in
-
- Bioinformatics and Genomic Networks 6
- Gene expression and cancer classification 5
- Biomedical Text Mining and Ontologies 4
- Microbial Metabolic Engineering and Bioproduction 2
- Single-cell and spatial transcriptomics 1
- Machine Learning in Bioinformatics 1
- Co-authors
- Xuhong Cao (2 shared papers)Christopher A. Maher (2 shared papers)Chandan Kumar‐Sinha (2 shared papers)Arul M. Chinnaiyan (2 shared papers)Shanker Kalyana‐Sundaram (1 shared paper)Xiaojun Jing (1 shared paper)Terrence R. Barrette (1 shared paper)Bo Han (1 shared paper)
- Journals
- BMC Bioinformatics (3 papers)PLoS Computational Biology (2 papers)American Journal of Physiology-Lung Cellular and Molecular Physiology (1 paper)Journal of Biomedical Informatics (1 paper)Bioinformatics (1 paper)
- Partner nations
- United States
In The Last Decade
Lee Sam
13 papers receiving 1.0k citations
Lee Sam's Hit Papers
Peers
Comparison fields: 5 of 94
- Cancer Research 311
- Molecular Biology 787
- Pulmonary and Respiratory Medicine 198
- Genetics 125
- Pathology and Forensic Medicine 72
Countries citing papers authored by Lee Sam
This map shows the geographic impact of Lee Sam'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 Lee Sam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lee Sam more than expected).
Fields of papers citing papers by Lee Sam
This network shows the impact of papers produced by Lee Sam. 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 Lee Sam. The network helps show where Lee Sam may publish in the future.
Co-authors
The 25 scholars most cited alongside Lee Sam, 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 | Transcriptome sequencing to detect gene fusions in cancer Hit paper breakdown → | 2009 | 631 |
| 2 | 2007 | 122 | |
| 3 | 2008 | 76 | |
| 4 | 2010 | 44 | |
| 5 | 2011 | 39 | |
| 6 | 2007 | 37 | |
| 7 | 2006 | 37 | |
| 8 | 2009 | 25 | |
| 9 | 2006 | 24 | |
| 10 | 2007 | 22 | |
| 11 | 2009 | 4 | |
| 12 | Information-theoretic classification of SNOMED improves the organization of context-sensitive excerpts from Cochrane reviews. | 2007 | 2 |
| 13 | 2005 | 1 |
About Lee Sam
Lee Sam is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Pathology and Forensic Medicine, Cardiology and Cardiovascular Medicine and General Health Professions, having authored 13 papers that have together received 1.1k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (6 papers), Gene expression and cancer classification (5 papers), Biomedical Text Mining and Ontologies (4 papers), Microbial Metabolic Engineering and Bioproduction (2 papers), Single-cell and spatial transcriptomics (1 paper), Cancer Genomics and Diagnostics (1 paper), Lymphoma Diagnosis and Treatment (1 paper) and Machine Learning in Bioinformatics (1 paper). The work is most often cited by research in Cancer Research (311 citations), Molecular Biology (787 citations), Pulmonary and Respiratory Medicine (198 citations), Genetics (125 citations) and Pathology and Forensic Medicine (72 citations). Lee Sam has collaborated with scholars based in United States. Frequent co-authors include Xuhong Cao, Christopher A. Maher, Chandan Kumar‐Sinha, Arul M. Chinnaiyan, Shanker Kalyana‐Sundaram, Xiaojun Jing, Terrence R. Barrette, Bo Han, Nallasivam Palanisamy and Yves A. Lussier. Their work appears in journals such as BMC Bioinformatics, PLoS Computational Biology, American Journal of Physiology-Lung Cellular and Molecular Physiology, Journal of Biomedical Informatics and Bioinformatics.
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.