Kim‐Anh Do
- Otorhinolaryngology top 2%
- Oncology top 5%
- Peptidase Inhibition and Analysis 3
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- Prostate Cancer Treatment and Research 4
- Genetics top 5%
- Cancer Research top 10%
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- Monoclonal and Polyclonal Antibodies Research 7
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- Gut microbiota and health 7
- Gene expression and cancer classification 7
- Bioinformatics and Genomic Networks 6
- PI3K/AKT/mTOR signaling in cancer 3
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- Bayesian Methods and Mixture Models 3
- Co-authors
- Xuemei WangPhilippe E. SpiessDan LeiboviciAndrew K. LeeLouis L. PistersMarcella M. JohnsonWaun Ki HongFadlo R. Khuri
- Partner nations
- United StatesAustraliaSpain
In The Last Decade
Kim‐Anh Do
47 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 154
- Otorhinolaryngology 198
- Oncology 740
- Pulmonary and Respiratory Medicine 550
- Genetics 175
- Cancer Research 226
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2023 | 7 | |
| 3 | 2023 | 0 | |
| 4 | 2023 | 2 | |
| 5 | 2022 | 28 | |
| 6 | 2020 | 15 | |
| 7 | 2017 | 1 | |
| 8 | 2015 | 30 | |
| 9 | 2013 | 8 | |
| 10 | 2012 | 51 | |
| 11 | 2010 | 4 | |
| 12 | 2010 | 1 | |
| 13 | 2007 | 3 | |
| 14 | Presalvage prostate‐specific antigen (PSA) and PSA doubling time as predictors of biochemical failure of salvage cryotherapy in patients with locally recurrent prostate cancer after radiotherapybreakdown → | 2006 | 1002 |
| 15 | 2004 | 103 | |
| 16 | 2003 | 64 | |
| 17 | 2003 | 42 | |
| 18 | 2003 | 131 | |
| 19 | 2001 | 110 | |
| 20 | 1990 | 23 |
About Kim‐Anh Do
Kim‐Anh Do is a scholar working on Structural Biology, Oncology, Cancer Research, Statistics and Probability and Otorhinolaryngology, having authored 50 papers that have together received 2.5k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (7 papers), Gut microbiota and health (7 papers), Gene expression and cancer classification (7 papers), Bioinformatics and Genomic Networks (6 papers), Prostate Cancer Treatment and Research (4 papers), Bayesian Methods and Mixture Models (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers) and Peptidase Inhibition and Analysis (3 papers). The work is most often cited by research in Otorhinolaryngology (198 citations), Oncology (740 citations), Pulmonary and Respiratory Medicine (550 citations), Genetics (175 citations) and Cancer Research (226 citations). Kim‐Anh Do has collaborated with scholars based in United States, Australia and Spain. Frequent co-authors include Xuemei Wang, Philippe E. Spiess, Dan Leibovici, Andrew K. Lee, Louis L. Pisters, Marcella M. Johnson, Waun Ki Hong, Fadlo R. Khuri, Qiong Dong and J. Jack Lee. Their work appears in journals such as Cancer, Bioinformatics, Cancer Research, British Journal of Haematology and Cancer Prevention 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.