K.-A. Do

469 total citations
10 papers, 271 citations indexed

About

K.-A. Do is a scholar working on Oncology, Public Health, Environmental and Occupational Health and Physiology. According to data from OpenAlex, K.-A. Do has authored 10 papers receiving a total of 271 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Oncology, 2 papers in Public Health, Environmental and Occupational Health and 2 papers in Physiology. Recurrent topics in K.-A. Do's work include Statistical Methods and Bayesian Inference (1 paper), Acute Myeloid Leukemia Research (1 paper) and Behavioral Health and Interventions (1 paper). K.-A. Do is often cited by papers focused on Statistical Methods and Bayesian Inference (1 paper), Acute Myeloid Leukemia Research (1 paper) and Behavioral Health and Interventions (1 paper). K.-A. Do collaborates with scholars based in Australia, United States and United Kingdom. K.-A. Do's co-authors include Kevin Hickey, Adèle C. Green, Brian H. Kay, Peter A. Ryan, Andrew T. A. Wood, Ewa Szumacher, Shabbir M.H. Alibhai, Ana Patricia Ayala, Martine Puts and Jye‐Chang Lee and has published in prestigious journals such as Blood, Hepatology and Cancer Research.

In The Last Decade

K.-A. Do

10 papers receiving 264 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
K.-A. Do Australia	6	75	65	59	47	41	10	271
Eizaburo Sueoka Japan	8	21 0.3×	23 0.4×	54 0.9×	39 0.8×	14 0.3×	21	298
Xanthippi Tseretopoulou United Kingdom	7	51 0.7×	50 0.8×	46 0.8×	39 0.8×	87 2.1×	14	389
Raphael Sonabend United Kingdom	8	14 0.2×	25 0.4×	44 0.7×	40 0.9×	122 3.0×	19	320
Jilles M. Fermont United Kingdom	8	33 0.4×	143 2.2×	55 0.9×	66 1.4×	9 0.2×	11	400
Cheryl L. Faucett United States	8	104 1.4×	25 0.4×	65 1.1×	57 1.2×	12 0.3×	12	596
Lena Dolman Canada	7	106 1.4×	15 0.2×	64 1.1×	114 2.4×	10 0.2×	8	471
Robert Olin Sweden	4	82 1.1×	26 0.4×	109 1.8×	34 0.7×	30 0.7×	5	343
Lada Leyens Netherlands	9	43 0.6×	12 0.2×	15 0.3×	105 2.2×	45 1.1×	19	307
Myria Galazi United Kingdom	7	33 0.4×	57 0.9×	63 1.1×	49 1.0×	13 0.3×	19	190
Daniel V. Wakefield United States	9	35 0.5×	22 0.3×	34 0.6×	76 1.6×	19 0.5×	26	280

Countries citing papers authored by K.-A. Do

Since Specialization

Citations

This map shows the geographic impact of K.-A. 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 K.-A. Do with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K.-A. Do more than expected).

Fields of papers citing papers by K.-A. Do

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by K.-A. 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 K.-A. Do. The network helps show where K.-A. Do may publish in the future.

Co-authorship network of co-authors of K.-A. Do

This figure shows the co-authorship network connecting the top 25 collaborators of K.-A. Do. A scholar is included among the top collaborators of K.-A. 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 K.-A. Do. K.-A. Do is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

Do, K.-A., et al.. (2025). Metaverse and Consumer Behavior: A Systematic Literature Review and Future Research Agenda. International Journal of Consumer Studies. 49(4). 1 indexed citations

Wei, Yue, Hong Zheng, Rashmi Kanagal‐Shamanna, et al.. (2019). KDM6B Overexpression and TET2 Deficiency Cooperatively Drive Development of Myelodysplastic Syndrome and Chronic Myelomonocytic Leukemia-like Phenotype in Mice. Blood. 134(Supplement_1). 562–562. 2 indexed citations

Szumacher, Ewa, Schroder Sattar, K.-A. Do, et al.. (2018). Use of Comprehensive Geriatric Assessment and Geriatric Screening for Older Adults in the Radiation Oncology Setting: A Systematic Review. Clinical Oncology. 30(9). 578–588. 35 indexed citations

González-Angulo, Ana M., Mariana Chávez‐MacGregor, Ayşegül A. Şahin, et al.. (2012). Functional proteomics characterization of residual breast cancer after neoadjuvant systemic chemotherapy. Annals of Oncology. 24(4). 909–916. 22 indexed citations

Chuang, Yao-Li, et al.. (2009). Using mathematical models to understand the time dependence of the growth of ductal carcinoma in situ.. Cancer Research. 69(2_Supplement). 1165–1165. 3 indexed citations

Hickey, Kevin, K.-A. Do, & Adèle C. Green. (2001). Smoking and Prostate Cancer. Epidemiologic Reviews. 23(1). 115–125. 110 indexed citations

Ryan, Peter A., K.-A. Do, & Brian H. Kay. (2000). Definition of Ross River Virus Vectors at Maroochy Shire, Australia. Journal of Medical Entomology. 37(1). 146–152. 57 indexed citations

Do, K.-A., et al.. (1998). The changing role of liver biopsy in hereditary haemochromatosis after the cloning of the HFE gene. Hepatology. 28. 1 indexed citations

Brayne, Carol, et al.. (1998). Is health protective behaviour in adolescents related to personality? A study of sun protective behaviour and the Eysenck Personality Questionnaire (junior version) in Queensland. Personality and Individual Differences. 25(5). 889–895. 9 indexed citations

10.

Wood, Andrew T. A., et al.. (1996). Sequential Linearization of Empirical Likelihood Constraints with Application to U-Statistics. Journal of Computational and Graphical Statistics. 5(4). 365–385. 31 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.

Explore authors with similar magnitude of impact