Jillian Macklin

1.2k total citations
13 papers, 157 citations indexed

About

Jillian Macklin is a scholar working on General Health Professions, Public Health, Environmental and Occupational Health and Health Informatics. According to data from OpenAlex, Jillian Macklin has authored 13 papers receiving a total of 157 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in General Health Professions, 5 papers in Public Health, Environmental and Occupational Health and 4 papers in Health Informatics. Recurrent topics in Jillian Macklin's work include Artificial Intelligence in Healthcare and Education (4 papers), Health and Medical Research Impacts (2 papers) and Health Sciences Research and Education (2 papers). Jillian Macklin is often cited by papers focused on Artificial Intelligence in Healthcare and Education (4 papers), Health and Medical Research Impacts (2 papers) and Health Sciences Research and Education (2 papers). Jillian Macklin collaborates with scholars based in Canada, Sweden and United States. Jillian Macklin's co-authors include Andrew D. Pinto, Timothy C. Y. Chan, Carolyn Steele Gray, Jesse Mager, Joshua V. Pondick, Bo Tan, Byeong–Moo Kim, Kimberly D. Tremblay, K. Daneshvar and Alan C. Mullen and has published in prestigious journals such as PLoS ONE, Cell Reports and FEBS Journal.

In The Last Decade

Jillian Macklin

8 papers receiving 156 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jillian Macklin Canada 5 66 66 38 29 19 13 157
Matthew Varugheese United States 7 66 1.0× 19 0.3× 46 1.2× 38 1.3× 12 0.6× 8 213
Mehr Kashyap United States 7 21 0.3× 90 1.4× 12 0.3× 17 0.6× 10 0.5× 11 235
Sean McSweeney United States 5 29 0.4× 39 0.6× 16 0.4× 21 0.7× 11 0.6× 10 124
Grant M. Wood United States 7 45 0.7× 10 0.2× 13 0.3× 24 0.8× 20 1.1× 14 151
Roland Roller Germany 9 58 0.9× 33 0.5× 3 0.1× 30 1.0× 24 1.3× 41 200
Marius Geantă Romania 6 16 0.2× 49 0.7× 3 0.1× 15 0.5× 12 0.6× 15 148
Dmitry Dymshyts United States 4 30 0.5× 9 0.1× 10 0.3× 12 0.4× 6 0.3× 4 95
Jason Ross United States 4 46 0.7× 9 0.1× 5 0.1× 12 0.4× 4 0.2× 7 141
Jerome Atutornu United Kingdom 6 25 0.4× 8 0.1× 11 0.3× 126 4.3× 26 1.4× 9 201
Eddie Guo Canada 5 21 0.3× 114 1.7× 3 0.1× 19 0.7× 4 0.2× 20 210

Countries citing papers authored by Jillian Macklin

Since Specialization
Citations

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

Fields of papers citing papers by Jillian Macklin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jillian Macklin. 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 Jillian Macklin. The network helps show where Jillian Macklin may publish in the future.

Co-authorship network of co-authors of Jillian Macklin

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

All Works

13 of 13 papers shown
1.
Ziegler, Carolyn, Shehzad Ali, David L. Buckeridge, et al.. (2025). Machine learning used to study risk factors for chronic diseases: A scoping review. Canadian Journal of Public Health. 117(1). 125–139. 1 indexed citations
2.
Pinto, Andrew D., Shehzad Ali, David L. Buckeridge, et al.. (2025). Machine Learning Applications in Population and Public Health: Guidelines for Development, Testing, and Implementation. JMIR Public Health and Surveillance. 11. e68952–e68952.
3.
Yin, Charles, et al.. (2024). Training Outcomes and Satisfaction in Canadian MD/PhD and MD/MSc Programs: Findings from a National Survey. Clinical and investigative medicine. 47(2). 12–22.
4.
Macklin, Jillian, et al.. (2024). Trending Urine Cocaine/BE Levels for Patient Advocacy: Case Report. The Canadian Journal of Addiction. 15(4). 42–45.
5.
Macklin, Jillian, et al.. (2024). Cardiovascular disease management and healthcare delivery for people experiencing homelessness: a scoping review. BMC Health Services Research. 24(1). 1080–1080.
6.
Macklin, Jillian, et al.. (2023). Priorities for Artificial Intelligence Applications in Primary Care: A Canadian Deliberative Dialogue with Patients, Providers, and Health System Leaders. The Journal of the American Board of Family Medicine. 36(2). 210–220. 26 indexed citations
7.
Macklin, Jillian, et al.. (2023). Implementing artificial intelligence in Canadian primary care: Barriers and strategies identified through a national deliberative dialogue. PLoS ONE. 18(2). e0281733–e0281733. 20 indexed citations
8.
Macklin, Jillian, et al.. (2023). Exploring patient perspectives on how they can and should be engaged in the development of artificial intelligence (AI) applications in health care. BMC Health Services Research. 23(1). 1163–1163. 35 indexed citations
9.
LeBlanc, Emmanuelle V., et al.. (2021). Overview of The Canadian Clinician Investigator Trainees’ Research Presented at The 2020 CSCI-CITAC Joint Meeting. Clinical and investigative medicine. 44(3). E4–E10.
10.
Zhou, Tianwei Ellen, Elina K. Cook, Heather Whittaker, et al.. (2020). Overview of the Canadian Clinician Investigator Trainees’ research presented at the 2019 CSCI-CITAC Joint Meeting. Clinical and investigative medicine. 43(3). E5–E14. 3 indexed citations
11.
Macklin, Jillian, et al.. (2019). Engaging Patients in Care (EPIC): A Framework for Heart Function and Heart Transplant–Specific Patient Engagement. CJC Open. 1(2). 43–46. 3 indexed citations
12.
Spratt, Donald E., Kathryn R. Barber, Vy Ngo, et al.. (2019). A subset of calcium‐binding S100 proteins show preferential heterodimerization. FEBS Journal. 286(10). 1859–1876. 15 indexed citations
13.
Daneshvar, K., Joshua V. Pondick, Byeong–Moo Kim, et al.. (2016). DIGIT Is a Conserved Long Noncoding RNA that Regulates GSC Expression to Control Definitive Endoderm Differentiation of Embryonic Stem Cells. Cell Reports. 17(2). 353–365. 54 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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