Mary Regina Boland

2.3k total citations
72 papers, 1.3k citations indexed

About

Mary Regina Boland is a scholar working on Molecular Biology, Pediatrics, Perinatology and Child Health and Artificial Intelligence. According to data from OpenAlex, Mary Regina Boland has authored 72 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 16 papers in Pediatrics, Perinatology and Child Health and 16 papers in Artificial Intelligence. Recurrent topics in Mary Regina Boland's work include Biomedical Text Mining and Ontologies (18 papers), Machine Learning in Healthcare (8 papers) and Health, Environment, Cognitive Aging (6 papers). Mary Regina Boland is often cited by papers focused on Biomedical Text Mining and Ontologies (18 papers), Machine Learning in Healthcare (8 papers) and Health, Environment, Cognitive Aging (6 papers). Mary Regina Boland collaborates with scholars based in United States, Netherlands and Taiwan. Mary Regina Boland's co-authors include Nicholas P. Tatonetti, Chunhua Weng, George Hripcsak, David Madigan, Xiaoying Wu, Jake Luo, Dimitri Theodoratos, Stephen B. Johnson, Jason H. Moore and Alexander Rusanov and has published in prestigious journals such as Journal of Clinical Oncology, Nature Biotechnology and Bioinformatics.

In The Last Decade

Mary Regina Boland

68 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mary Regina Boland United States 22 378 346 190 184 123 72 1.3k
Linda Coyle United States 14 215 0.6× 406 1.2× 504 2.7× 55 0.3× 73 0.6× 33 1.7k
Tiffany J. Callahan United States 16 207 0.5× 166 0.5× 131 0.7× 84 0.5× 215 1.7× 41 915
Omri Gottesman United States 19 519 1.4× 302 0.9× 148 0.8× 99 0.5× 204 1.7× 23 1.6k
Hun‐Sung Kim South Korea 24 158 0.4× 105 0.3× 275 1.4× 62 0.3× 166 1.3× 141 2.3k
Arjun K. Manrai United States 24 738 2.0× 227 0.7× 294 1.5× 90 0.5× 73 0.6× 55 2.3k
Adler Perotte United States 15 239 0.6× 297 0.9× 111 0.6× 53 0.3× 136 1.1× 36 1.2k
Chuan Hong United States 19 325 0.9× 248 0.7× 101 0.5× 21 0.1× 101 0.8× 81 1.4k
Lisa Bastarache United States 20 967 2.6× 218 0.6× 149 0.8× 85 0.5× 97 0.8× 60 3.0k
Jinbo Chen United States 33 382 1.0× 313 0.9× 297 1.6× 253 1.4× 14 0.1× 138 2.9k
Rongling Li United States 23 586 1.6× 133 0.4× 152 0.8× 56 0.3× 101 0.8× 38 1.6k

Countries citing papers authored by Mary Regina Boland

Since Specialization
Citations

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

Fields of papers citing papers by Mary Regina Boland

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mary Regina Boland. 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 Mary Regina Boland. The network helps show where Mary Regina Boland may publish in the future.

Co-authorship network of co-authors of Mary Regina Boland

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

All Works

20 of 20 papers shown
1.
Fung, Constance H., et al.. (2025). Comorbidities that modulate temporal risk for incident hypertension among patients with obstructive sleep apnea. Clinical Hypertension. 31(1). e2–e2. 1 indexed citations
2.
D’Alonzo, Bernadette A., et al.. (2024). Comparison of different definitions of traumatic brain injury: implications for cohort characteristics and survival in women, Philadelphia, USA. Injury Prevention. 31(3). 198–204. 1 indexed citations
3.
Ko, Emily, et al.. (2024). Disparities in gynecologic oncology clinical trial availability in the United States: A state-level analysis.. Journal of Clinical Oncology. 42(16_suppl). e23128–e23128.
5.
Zhang, Dazheng, Jiayi Tong, Ronen Stein, et al.. (2024). One-shot distributed algorithms for addressing heterogeneity in competing risks data across clinical sites. Journal of Biomedical Informatics. 150. 104595–104595. 4 indexed citations
6.
Keenan, Brendan T, et al.. (2023). Identifying clusters of patient comorbidities associated with obstructive sleep apnea using electronic health records. Journal of Clinical Sleep Medicine. 20(4). 521–533. 1 indexed citations
8.
Burris, Heather H., et al.. (2021). Neighborhood deprivation increases the risk of Post-induction cesarean delivery. Journal of the American Medical Informatics Association. 29(2). 329–334. 4 indexed citations
9.
Duan, Rui, Chongliang Luo, Martijn J. Schuemie, et al.. (2020). Learning from local to global: An efficient distributed algorithm for modeling time-to-event data. Journal of the American Medical Informatics Association. 27(7). 1028–1036. 43 indexed citations
10.
Alur-Gupta, Snigdha, Mary Regina Boland, Kurt T. Barnhart, Mary D. Sammel, & Anuja Dokras. (2020). Postpartum complications increased in women with polycystic ovary syndrome. American Journal of Obstetrics and Gynecology. 224(3). 280.e1–280.e13. 28 indexed citations
12.
Boland, Mary Regina, et al.. (2020). Enabling pregnant women and their physicians to make informed medication decisions using artificial intelligence. Journal of Pharmacokinetics and Pharmacodynamics. 47(4). 305–318. 29 indexed citations
13.
Boland, Mary Regina. (2018). A model investigating environmental factors that play a role in female fecundity or birth rate. PLoS ONE. 13(11). e0207932–e0207932. 5 indexed citations
14.
Boland, Mary Regina, Fernanda Polubriaginof, & Nicholas P. Tatonetti. (2017). Development of A Machine Learning Algorithm to Classify Drugs Of Unknown Fetal Effect. Scientific Reports. 7(1). 12839–12839. 25 indexed citations
15.
Boland, Mary Regina, et al.. (2017). Climate Classification is an Important Factor in Assessing Quality-of-Care Across Hospitals. Scientific Reports. 7(1). 4948–4948. 13 indexed citations
16.
Kidd, Brian, Aleksandra Wroblewska, Mary Regina Boland, et al.. (2015). Mapping the effects of drugs on the immune system. Nature Biotechnology. 34(1). 47–54. 65 indexed citations
17.
Weng, Chunhua, Mary Regina Boland, Gregory W. Hruby, et al.. (2013). An Integrated Model for Patient Care and Clinical Trials (IMPACT) to support clinical research visit scheduling workflow for future learning health systems. Journal of Biomedical Informatics. 46(4). 642–652. 18 indexed citations
18.
Boland, Mary Regina, Samson W. Tu, Simona Carini, Ida Sim, & Chunhua Weng. (2012). EliXR-TIME: A Temporal Knowledge Representation for Clinical Research Eligibility Criteria.. PubMed. 2012. 71–80. 25 indexed citations
19.
Boland, Mary Regina. (1991). William Pickles Lecture 1991. My brother's keeper.. PubMed. 41(348). 295–300. 6 indexed citations
20.
Boland, Mary Regina & G N Volans. (1984). ABC of poisoning. Miscellaneous drugs.. BMJ. 289(6455). 1361–1365. 3 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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