Kim‐Anh Do

2.6k total citations · 1 hit paper
34 papers, 1.8k citations indexed

About

Kim‐Anh Do is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Cancer Research. According to data from OpenAlex, Kim‐Anh Do has authored 34 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 7 papers in Pulmonary and Respiratory Medicine and 7 papers in Cancer Research. Recurrent topics in Kim‐Anh Do's work include Chronic Lymphocytic Leukemia Research (6 papers), Lymphoma Diagnosis and Treatment (6 papers) and Gene expression and cancer classification (5 papers). Kim‐Anh Do is often cited by papers focused on Chronic Lymphocytic Leukemia Research (6 papers), Lymphoma Diagnosis and Treatment (6 papers) and Gene expression and cancer classification (5 papers). Kim‐Anh Do collaborates with scholars based in United States, Australia and Canada. Kim‐Anh Do's co-authors include Christophe Ambroise, Geoffrey J. McLachlan, Petra Kuhnert, Rod McClure, Lee M. Ellis, Nadeem Q. Mirza, Jean‐Nicolas Vauthey, Asif Rashid, Nestor F. Esnaola and Karen R. Cleary and has published in prestigious journals such as The Lancet, Journal of Clinical Oncology and Blood.

In The Last Decade

Kim‐Anh Do

31 papers receiving 1.7k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Analyzing Microarray Gene Expression Data

2004 626 citations Geoffrey J. McLachlan, Kim‐Anh Do et al. Wiley series in probability and statistics profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Kim‐Anh Do United States	14	344	304	259	244	241	34	1.8k
Jae Won Lee South Korea	20	574 1.7×	262 0.9×	134 0.5×	59 0.2×	170 0.7×	88	1.9k
Jongphil Kim United States	32	610 1.8×	56 0.2×	158 0.6×	153 0.6×	189 0.8×	173	3.6k
Keith Sullivan United States	31	277 0.8×	51 0.2×	111 0.4×	272 1.1×	292 1.2×	72	3.4k
Yuan Ji United States	30	924 2.7×	78 0.3×	216 0.8×	102 0.4×	628 2.6×	154	3.9k
Seán Walsh United States	24	347 1.0×	322 1.1×	94 0.4×	260 1.1×	771 3.2×	56	5.5k
Ivan G. Costa Germany	39	3.0k 8.6×	269 0.9×	80 0.3×	183 0.8×	634 2.6×	124	4.9k
Johan van Soest Netherlands	22	145 0.4×	309 1.0×	79 0.3×	258 1.1×	944 3.9×	79	5.3k
E. S. Venkatraman United States	21	1.7k 4.8×	56 0.2×	293 1.1×	117 0.5×	208 0.9×	41	4.1k
Giovanni De Petris United States	34	312 0.9×	347 1.1×	338 1.3×	25 0.1×	126 0.5×	123	4.0k
Ying Xiao United States	37	206 0.6×	110 0.4×	85 0.3×	121 0.5×	263 1.1×	240	6.5k

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-authorship network of co-authors of Kim‐Anh Do

This figure shows the co-authorship network connecting the top 25 collaborators of Kim‐Anh Do. A scholar is included among the top collaborators of Kim‐Anh Do based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kim‐Anh Do. Kim‐Anh Do is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Anfossi, Simone, Joseph J. Quinlan, Steliana Calin, et al.. (2024). MicroRNAs are enriched at COVID-19 genomic risk regions, and their blood levels correlate with the COVID-19 prognosis of cancer patients infected by SARS-CoV-2. Molecular Cancer. 23(1). 235–235. 2 indexed citations

Irajizad, Ehsan, Johannes F. Fahrmann, Tracey L. Marsh, et al.. (2023). Mortality Benefit of a Blood-Based Biomarker Panel for Lung Cancer on the Basis of the Prostate, Lung, Colorectal, and Ovarian Cohort. Journal of Clinical Oncology. 41(27). 4360–4368. 10 indexed citations

Fahrmann, Johannes F., Ehsan Irajizad, Edwin J. Ostrin, et al.. (2023). Mortality benefit of a blood-based biomarker panel for lung cancer and the PLCO cohort.. Journal of Clinical Oncology. 41(16_suppl). 8560–8560. 1 indexed citations

Fahrmann, Johannes F., Tracey L. Marsh, Ehsan Irajizad, et al.. (2022). Blood-Based Biomarker Panel for Personalized Lung Cancer Risk Assessment. Journal of Clinical Oncology. 40(8). 876–883. 57 indexed citations

Das, Priyam, Christine B. Peterson, Yang Ni, et al.. (2022). Bayesian Hierarchical Quantile Regression with Application to Characterizing the Immune Architecture of Lung Cancer. Biometrics. 79(3). 2474–2488.

Reyes‐Gibby, Cielito C., Jian Wang, Liangliang Zhang, et al.. (2020). Oral microbiome and onset of oral mucositis in patients with squamous cell carcinoma of the head and neck. Cancer. 126(23). 5124–5136. 43 indexed citations

Kanagal‐Shamanna, Rashmi, Guillermo Montalban‐Bravo, Caleb A. Class, et al.. (2019). Evolutionary Action (EA) Score of TP53 Mutations Defines Prognostic Subsets within TP53 Mutated Myelodysplastic Syndromes and Acute Myeloid Leukemia. Blood. 134(Supplement_1). 1719–1719. 2 indexed citations

Zhang, Liangliang, Kevin W. Garey, Christine B. Peterson, et al.. (2019). 2380. Fecal Collinsella Abundance is Negatively Associated with Toxin A/B Production in Cancer Patients with Clostridioides difficile. Open Forum Infectious Diseases. 6(Supplement_2). S821–S822. 1 indexed citations

Do, Kim‐Anh, et al.. (2013). Advances in Statistical Bioinformatics. Cambridge University Press eBooks. 9 indexed citations

10.

Tannir, Nizar M., Eric Jonasch, Lance C. Pagliaro, et al.. (2006). Pilot trial of bone‐targeted therapy with zoledronate, thalidomide, and interferon‐γ for metastatic renal cell carcinoma. Cancer. 107(3). 497–505. 9 indexed citations

11.

Tsimberidou, Apostolia M., Daniel Catovsky, Ellen Schlette, et al.. (2006). Outcomes in patients with splenic marginal zone lymphoma and marginal zone lymphoma treated with rituximab with or without chemotherapy or chemotherapy alone. Cancer. 107(1). 125–135. 84 indexed citations

12.

Tam, Constantine S., Sijin Wen, Kim‐Anh Do, et al.. (2006). The Effect of Initial Therapy Choice in Determining Long Term Survival in Patients with Chronic Lymphocytic Leukemia (CLL).. Blood. 108(11). 4976–4976. 1 indexed citations

13.

Wierda, William, Susan O’Brien, Stefan Faderl, et al.. (2005). A retrospective comparison of three sequential groups of patients with Recurrent/Refractory chronic lymphocytic leukemia treated with fludarabine‐based regimens. Cancer. 106(2). 337–345. 52 indexed citations

14.

Do, Kim‐Anh, Joanne F. Aitken, Adèle C. Green, & Nicholas G. Martin. (2004). Analysis of Melanoma Onset: Assessing Familial Aggregation by Using Estimating Equations and Fitting Variance Components via Bayesian Random Effects Models. Twin Research. 7(1). 98–113. 1 indexed citations

15.

McLachlan, Geoffrey J., Kim‐Anh Do, & Christophe Ambroise. (2004). Analyzing Microarray Gene Expression Data. Wiley series in probability and statistics. 626 indexed citations breakdown →

16.

Albitar, Maher, Kim‐Anh Do, Marcella M. Johnson, et al.. (2004). Free circulating soluble CD52 as a tumor marker in chronic lymphocytic leukemia and its implication in therapy with anti‐CD52 antibodies. Cancer. 101(5). 999–1008. 59 indexed citations

17.

Vauthey, Jean‐Nicolas, Gregory Y. Lauwers, Nestor F. Esnaola, et al.. (2002). Simplified Staging for Hepatocellular Carcinoma. Journal of Clinical Oncology. 20(6). 1527–1536. 376 indexed citations

18.

Bellamy, Nicholas, et al.. (1999). Perceptual variation in categorizing individual peripheral joints for the presence or absence of osteoarthritis using a standard homunculus: observations based on an australian twin registry study of osteoarthritis. Inflammopharmacology. 7(1). 37–46. 7 indexed citations

19.

Treloar, Susan A., Kim‐Anh Do, & Nicholas G. Martin. (1998). Genetic influences on the age at menopause. The Lancet. 352(9134). 1084–1085. 80 indexed citations

20.

Do, Kim‐Anh & Peter Hall. (1992). Distribution Estimation Using Concomitants of Order Statistics, with Application to Monte Carlo Simulation for the Bootstrap. Journal of the Royal Statistical Society Series B (Statistical Methodology). 54(2). 595–607. 14 indexed citations

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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