Kim‐Anh Do
Impact in
- Hepatology top 2%
- Hepatocellular Carcinoma Treatment and Prognosis
- Genetics top 5%
- Chronic Lymphocytic Leukemia Research
Papers in
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- Gene expression and cancer classification 5
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- Lung Cancer Diagnosis and Treatment 3
- Lung Cancer Treatments and Mutations 3
- Co-authors
- Christophe Ambroise (1 shared paper)Geoffrey J. McLachlan (1 shared paper)Petra Kuhnert (2 shared papers)Rod McClure (1 shared paper)David M. Nagorney (1 shared paper)Asif Rashid (1 shared paper)Lee M. Ellis (1 shared paper)Steven A. Curley (1 shared paper)
- Journals
- Cancer (6 papers)Journal of Clinical Oncology (5 papers)Biometrics (4 papers)Blood (3 papers)Cancer Research (2 papers)
- Partner nations
- United StatesAustraliaCanada
In The Last Decade
Kim‐Anh Do
31 papers receiving 1.7k citations
Kim‐Anh Do's Hit Papers
Peers
Comparison fields: 5 of 173
- Hepatology 304
- Genetics 244
- Statistics and Probability 144
- Pathology and Forensic Medicine 259
- Cancer Research 144
Countries citing papers authored by Kim‐Anh Do
This map shows the geographic impact of Kim‐Anh Do'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 Kim‐Anh Do with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kim‐Anh Do more than expected).
Fields of papers citing papers by Kim‐Anh Do
This network shows the impact of papers produced by Kim‐Anh Do. 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 Kim‐Anh Do. The network helps show where Kim‐Anh Do may publish in the future.
Co-authors
The 25 scholars most cited alongside Kim‐Anh Do, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Analyzing Microarray Gene Expression Data Hit paper breakdown → | 2004 | 626 |
| 2 | 2002 | 376 | |
| 3 | 2000 | 113 | |
| 4 | 2011 | 96 | |
| 5 | 2006 | 84 | |
| 6 | 1998 | 80 | |
| 7 | 2004 | 59 | |
| 8 | 2022 | 57 | |
| 9 | 2005 | 52 | |
| 10 | 2012 | 47 | |
| 11 | 2020 | 43 | |
| 12 | 1991 | 28 | |
| 13 | 2008 | 18 | |
| 14 | 1992 | 14 | |
| 15 | 2023 | 10 | |
| 16 | 1999 | 10 | |
| 17 | 2006 | 9 | |
| 18 | 2013 | 9 | |
| 19 | 1999 | 7 | |
| 20 | 2015 | 6 |
About Kim‐Anh Do
Kim‐Anh Do is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Cancer Research, Genetics and Pathology and Forensic Medicine, having authored 34 papers that have together received 1.8k indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (6 papers), Lymphoma Diagnosis and Treatment (6 papers), Gene expression and cancer classification (5 papers), Statistical Methods and Inference (3 papers), MicroRNA in disease regulation (3 papers), Lung Cancer Diagnosis and Treatment (3 papers), Lung Cancer Treatments and Mutations (3 papers) and Cancer, Lipids, and Metabolism (2 papers). The work is most often cited by research in Hepatology (304 citations), Genetics (244 citations), Statistics and Probability (144 citations), Pathology and Forensic Medicine (259 citations) and Cancer Research (144 citations). Kim‐Anh Do has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include Christophe Ambroise, Geoffrey J. McLachlan, Petra Kuhnert, Rod McClure, David M. Nagorney, Asif Rashid, Lee M. Ellis, Steven A. Curley, Karen R. Cleary and Gregory Y. Lauwers. Their work appears in journals such as Cancer, Journal of Clinical Oncology, Biometrics, Blood and Cancer Research.
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.