Irene Dankwa‐Mullan

2.2k total citations · 1 hit paper
60 papers, 1.1k citations indexed

About

Irene Dankwa‐Mullan is a scholar working on Economics and Econometrics, General Health Professions and Health Informatics. According to data from OpenAlex, Irene Dankwa‐Mullan has authored 60 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Economics and Econometrics, 17 papers in General Health Professions and 17 papers in Health Informatics. Recurrent topics in Irene Dankwa‐Mullan's work include Artificial Intelligence in Healthcare and Education (17 papers), Health Systems, Economic Evaluations, Quality of Life (10 papers) and Radiomics and Machine Learning in Medical Imaging (9 papers). Irene Dankwa‐Mullan is often cited by papers focused on Artificial Intelligence in Healthcare and Education (17 papers), Health Systems, Economic Evaluations, Quality of Life (10 papers) and Radiomics and Machine Learning in Medical Imaging (9 papers). Irene Dankwa‐Mullan collaborates with scholars based in United States, China and Brazil. Irene Dankwa‐Mullan's co-authors include Kyu Rhee, John Ruffin, Francisco S. Sy, Yoonyoung Park, Gretchen Purcell Jackson, Dilhan Weeraratne, Jane Snowdon, Anita M. Preininger, Marc L. Rivo and Idalia M. Sanchez and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Irene Dankwa‐Mullan

53 papers receiving 1.1k citations

Hit Papers

align trajectories sort by overperformance

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.

Ethical challenges and evolving strategies in the integration of artificial intelligence into clinical practice

2025 37 citations Irene Dankwa‐Mullan, William A. Nelson et al. PLOS Digital Health profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Irene Dankwa‐Mullan United States	17	301	281	259	215	183	60	1.1k
Neera Ahuja United States	15	231 0.8×	438 1.6×	204 0.8×	216 1.0×	136 0.7×	53	1.4k
Jialin Liu China	17	531 1.8×	177 0.6×	135 0.5×	385 1.8×	273 1.5×	64	1.4k
Suzanne Tamang United States	14	374 1.2×	126 0.4×	186 0.7×	492 2.3×	168 0.9×	66	1.4k
Giang Hai Ha Vietnam	18	157 0.5×	185 0.7×	161 0.6×	97 0.5×	101 0.6×	42	1.2k
Michael Hogarth United States	15	879 2.9×	288 1.0×	238 0.9×	550 2.6×	387 2.1×	58	1.7k
Sonoo Thadaney Israni United States	9	256 0.9×	227 0.8×	191 0.7×	109 0.5×	122 0.7×	16	737
Laurie L. Novak United States	19	256 0.9×	374 1.3×	219 0.8×	131 0.6×	81 0.4×	67	1.3k
Danielle Whicher United States	15	226 0.8×	242 0.9×	282 1.1×	107 0.5×	130 0.7×	26	959
Kenrick Cato United States	22	324 1.1×	668 2.4×	352 1.4×	319 1.5×	104 0.6×	125	2.0k
Stuart McLennan Germany	21	179 0.6×	273 1.0×	293 1.1×	131 0.6×	47 0.3×	94	1.4k

Countries citing papers authored by Irene Dankwa‐Mullan

Since Specialization

Citations

This map shows the geographic impact of Irene Dankwa‐Mullan'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 Irene Dankwa‐Mullan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Irene Dankwa‐Mullan more than expected).

Fields of papers citing papers by Irene Dankwa‐Mullan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Irene Dankwa‐Mullan. 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 Irene Dankwa‐Mullan. The network helps show where Irene Dankwa‐Mullan may publish in the future.

Co-authorship network of co-authors of Irene Dankwa‐Mullan

This figure shows the co-authorship network connecting the top 25 collaborators of Irene Dankwa‐Mullan. A scholar is included among the top collaborators of Irene Dankwa‐Mullan 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 Irene Dankwa‐Mullan. Irene Dankwa‐Mullan 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

Dankwa‐Mullan, Irene, et al.. (2025). Artificial Intelligence and Cancer Health Equity: Bridging the Divide or Widening the Gap. Current Oncology Reports. 27(2). 95–111. 4 indexed citations

Dankwa‐Mullan, Irene, et al.. (2025). Ethical challenges and evolving strategies in the integration of artificial intelligence into clinical practice. PLOS Digital Health. 4(4). e0000810–e0000810. 37 indexed citations breakdown →

Struja, Tristan, Barbara D. Lam, Xiaoli Liu, et al.. (2025). Evaluating equitable care in the ICU:Creating a causal inference template to assess the impact of life-sustaining interventions across racial and ethnic groups. Heart & Lung. 72. 48–56. 1 indexed citations

Hicklen, Rachel, et al.. (2023). Strategies and solutions to address Digital Determinants of Health (DDOH) across underinvested communities. SHILAP Revista de lepidopterología. 2(10). e0000314–e0000314. 7 indexed citations

Stolldorf, Deonni P., Amanda S. Mixon, Laurie L. Novak, et al.. (2023). Screening Health-Related Social Needs in Hospitals: A Systematic Review of Health Care Professional and Patient Perspectives. Population Health Management. 26(3). 157–167. 24 indexed citations

Gallifant, Jack, Joe Zhang, Stephen Whebell, et al.. (2023). A new tool for evaluating health equity in academic journals; the Diversity Factor. SHILAP Revista de lepidopterología. 3(8). e0002252–e0002252. 4 indexed citations

Dankwa‐Mullan, Irene & Dilhan Weeraratne. (2022). Artificial Intelligence and Machine Learning Technologies in Cancer Care: Addressing Disparities, Bias, and Data Diversity. Cancer Discovery. 12(6). 1423–1427. 39 indexed citations

Craig, K.J., et al.. (2022). HPR55 How Inequities and Disparities in Health & Healthcare Are Impacting COVID-19 Outcomes: A Scoping Review. Value in Health. 25(7). S476–S476.

Haddad, Tufia C., J. Helgeson, Anita M. Preininger, et al.. (2021). Accuracy of an Artificial Intelligence System for Cancer Clinical Trial Eligibility Screening: Retrospective Pilot Study. JMIR Medical Informatics. 9(3). e27767–e27767. 39 indexed citations

10.

Park, Yoonyoung, Jianying Hu, Moninder Singh, et al.. (2021). Comparison of Methods to Reduce Bias From Clinical Prediction Models of Postpartum Depression. JAMA Network Open. 4(4). e213909–e213909. 76 indexed citations

11.

Taechakraichana, Nimit, Anita M. Preininger, Irene Dankwa‐Mullan, et al.. (2021). Comparison of an oncology clinical decision-support system’s recommendations with actual treatment decisions. Journal of the American Medical Informatics Association. 28(4). 832–838. 18 indexed citations

12.

Arriaga, Yull, Anita M. Preininger, Laura C Morgan, et al.. (2020). A Targeted Review of Breast Cancer Studies of Concordance for an Internationally-Implemented Artificially Intelligent Clinical Decision-Support System.

13.

Huang, Hu, et al.. (2020). Early-onset colorectal cancer in younger patients: A population-based study.. Journal of Clinical Oncology. 38(29_suppl). 124–124.

14.

Hung, Hui-Chun, Po‐Li Wei, Jeng‐Fong Chiou, et al.. (2019). Enhancing evidence-based medicine skills in oncology training with cognitive technology.. Journal of Clinical Oncology. 37(15_suppl). 10532–10532. 1 indexed citations

15.

Liang, Jun, Irene Dankwa‐Mullan, Yan‐Ping Ren, et al.. (2019). Employing an oncology decision-support system to quantify treatment variation.. Journal of Clinical Oncology. 37(15_suppl). e18067–e18067. 2 indexed citations

16.

Dankwa‐Mullan, Irene, et al.. (2018). Transforming Diabetes Care Through Artificial Intelligence: The Future Is Here. Population Health Management. 22(3). 229–242. 104 indexed citations

17.

Umsawasdi, Theera, et al.. (2018). Concordance assessment of a clinical decision support software in patients with solid tumors.. Journal of Clinical Oncology. 36(15_suppl). e18584–e18584. 4 indexed citations

18.

Urman, Alexandra, et al.. (2018). Harnessing AI for health equity in oncology research and practice.. Journal of Clinical Oncology. 36(30_suppl). 67–67. 3 indexed citations

19.

Helgeson, J., Melissa Rammage, Alexandra Urman, et al.. (2018). Clinical performance pilot using cognitive computing for clinical trial matching at Mayo Clinic.. Journal of Clinical Oncology. 36(15_suppl). e18598–e18598. 16 indexed citations

20.

Wong, Winston, et al.. (2012). The Patient-Centered Medical Home: A Path Toward Health Equity?. NAM Perspectives. 2(9). 12 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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