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 6
- Bioinformatics and Genomic Networks 2
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- Statistical Methods and Inference 5
- Statistical Methods and Bayesian Inference 2
- Co-authors
- Geoffrey J. McLachlan (1 shared paper)Christophe Ambroise (1 shared paper)Petra Kuhnert (2 shared papers)Rod McClure (1 shared paper)Jean‐Marc Régimbeau (1 shared paper)Steven A. Curley (1 shared paper)Karen R. Cleary (1 shared paper)Gregory Y. Lauwers (1 shared paper)
- Journals
- Cancer (6 papers)Journal of Clinical Oncology (5 papers)Biometrics (4 papers)Blood (3 papers)Cancer Research (3 papers)
- Partner nations
- United StatesAustraliaCanada
In The Last Decade
Kim‐Anh Do
34 papers receiving 1.8k citations
Kim‐Anh Do's Hit Papers
Peers
Comparison fields: 5 of 170
- Hepatology 297
- Genetics 246
- Statistics and Probability 147
- Pathology and Forensic Medicine 229
- Artificial Intelligence 256
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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Analyzing Microarray Gene Expression Data Hit paper breakdown → | 2004 | 671 |
| 2 | 2002 | 392 | |
| 3 | 2000 | 116 | |
| 4 | 2011 | 103 | |
| 5 | 2006 | 94 | |
| 6 | 1998 | 88 | |
| 7 | 2022 | 63 | |
| 8 | 2004 | 60 | |
| 9 | 2005 | 54 | |
| 10 | 2012 | 47 | |
| 11 | 2020 | 46 | |
| 12 | 1991 | 31 | |
| 13 | 2008 | 18 | |
| 14 | 1992 | 15 | |
| 15 | 2023 | 11 | |
| 16 | 1999 | 10 | |
| 17 | 2013 | 9 | |
| 18 | 2006 | 9 | |
| 19 | 1999 | 7 | |
| 20 | 2022 | 6 |
About Kim‐Anh Do
Kim‐Anh Do is a scholar working on Molecular Biology, Statistics and Probability, Genetics, Cancer Research and Pathology and Forensic Medicine, having authored 38 papers that have together received 1.9k indexed citations. Recurring topics across this work include Gene expression and cancer classification (6 papers), Statistical Methods and Inference (5 papers), Chronic Lymphocytic Leukemia Research (5 papers), Lymphoma Diagnosis and Treatment (3 papers), Cancer, Lipids, and Metabolism (2 papers), Statistical Methods and Bayesian Inference (2 papers), Acute Myeloid Leukemia Research (2 papers) and Bioinformatics and Genomic Networks (2 papers). The work is most often cited by research in Hepatology (297 citations), Genetics (246 citations), Statistics and Probability (147 citations), Pathology and Forensic Medicine (229 citations) and Artificial Intelligence (256 citations). Kim‐Anh Do has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include Geoffrey J. McLachlan, Christophe Ambroise, Petra Kuhnert, Rod McClure, Jean‐Marc Régimbeau, Steven A. Curley, Karen R. Cleary, Gregory Y. Lauwers, Nestor F. Esnaola and David M. Nagorney. 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.