Kim‐Anh Do

11.6k citations
131 papers · 7.0k · 2 hit papers · h-index 43

Impact in

Papers in

    • Gene expression and cancer classification 10
    • Bioinformatics and Genomic Networks 9
    • PI3K/AKT/mTOR signaling in cancer 8

Kim‐Anh Do

127 papers receiving 6.9k citations

Kim‐Anh Do's Hit Papers

Incidence and Outcome of BRCA Mutations in Unselected Patients with Triple Receptor-Negative Breast Cancer 2011 · 428 citations
4280+6+12Years since publication100200300400500

Peers

Kim‐Anh Do
Comparison fields: 5 of 163
  • Genetics 1.9k
  • Pathology and Forensic Medicine 1.5k
  • Hepatology 536
  • Cancer Research 866
  • Oncology 1.2k
Replace Percy Ivy with:
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Jordi Rodón United States
Maurizio Martini Italy
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Marcia S. Brose United States
Petr Kavan Canada
Kyriakos P. Papadopoulos United States
Aurélien de Reyniès France
Philippe Broët France
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Citations per field
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Citations per year

Countries citing papers authored by Kim‐Anh Do

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Kim‐Anh Do Line = papers co-authored together Kim‐Anh Do links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 131 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Long-term results of the fludarabine, cyclophosphamide, and rituximab regimen as initial therapy of chronic lymphocytic leukemia
Hit paper breakdown →
2008509
2 2002457
3
Incidence and Outcome of BRCA Mutations in Unselected Patients with Triple Receptor-Negative Breast Cancer
Hit paper breakdown →
2011428
4 2005401
5 2001334
6 2002265
7 2007253
8 2006212
9 2012172
10 2003156
11 2002152
12 2012126
13 2010123
14 2009116
15 2011110
16 2005108
17
Predictive factors of age at menopause in a large Australian twin study.
1998106
18 2005105
19 2012100
20 201683

About Kim‐Anh Do

Kim‐Anh Do is a scholar working on Molecular Biology, Oncology, Pulmonary and Respiratory Medicine, Cancer Research and Genetics, having authored 131 papers that have together received 7.0k indexed citations. Recurring topics across this work include Gene expression and cancer classification (10 papers), Chronic Lymphocytic Leukemia Research (10 papers), Bioinformatics and Genomic Networks (9 papers), PI3K/AKT/mTOR signaling in cancer (8 papers), Statistical Methods and Inference (7 papers), Lymphoma Diagnosis and Treatment (7 papers), Genetic Associations and Epidemiology (6 papers) and Cancer, Lipids, and Metabolism (5 papers). The work is most often cited by research in Genetics (1.9k citations), Pathology and Forensic Medicine (1.5k citations), Hepatology (536 citations), Cancer Research (866 citations) and Oncology (1.2k citations). Kim‐Anh Do has collaborated with scholars based in United States, Australia and Spain. Frequent co-authors include Hagop M. Kantarjian, Michael J. Keating, Susan Lerner, Sijin Wen, Deborah A. Thomas, William G. Wierda, Jörge E. Cortes, Funda Meric‐Bernstam, Xuemei Wang and Susan O’Brien. Their work appears in journals such as Clinical Cancer Research, Journal of Clinical Oncology, Blood, Biometrics 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.

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