Ida Sim

7.7k total citations · 3 hit papers
112 papers, 4.9k citations indexed

About

Ida Sim is a scholar working on Molecular Biology, General Health Professions and Artificial Intelligence. According to data from OpenAlex, Ida Sim has authored 112 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Molecular Biology, 26 papers in General Health Professions and 23 papers in Artificial Intelligence. Recurrent topics in Ida Sim's work include Biomedical Text Mining and Ontologies (32 papers), Meta-analysis and systematic reviews (22 papers) and Electronic Health Records Systems (18 papers). Ida Sim is often cited by papers focused on Biomedical Text Mining and Ontologies (32 papers), Meta-analysis and systematic reviews (22 papers) and Electronic Health Records Systems (18 papers). Ida Sim collaborates with scholars based in United States, Canada and United Kingdom. Ida Sim's co-authors include Robert H. Miller, Simona Carini, Deborah Estrin, Samson W. Tu, Harold P. Lehmann, Paul Gorman, Bonnie Kaplan, R. Brian Haynes, Paul C. Tang and Robert A. Greenes and has published in prestigious journals such as Nature, Science and New England Journal of Medicine.

In The Last Decade

Ida Sim

108 papers receiving 4.7k 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.

Physicians’ Use Of Electronic Medical Records: Barriers And Solutions

2004 629 citations Ida Sim et al. profile →
Mobile Devices and Health

2019 299 citations Ida Sim profile →
Exercise Interventions for Depression, Anxiety, and Quality of Life in Older Adults With Cancer

2025 13 citations Ida Sim, Lita Chew et al. JAMA Network Open profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ida Sim United States	35	1.2k	1.0k	963	917	790	112	4.9k
Robert A. Greenes United States	36	2.1k 1.8×	1.8k 1.7×	759 0.8×	1.3k 1.4×	1.4k 1.7×	191	5.5k
Vimla L. Patel United States	53	1.8k 1.5×	936 0.9×	1.7k 1.7×	2.1k 2.3×	1.0k 1.3×	198	8.6k
K. Ann McKibbon Canada	33	575 0.5×	386 0.4×	2.3k 2.4×	969 1.1×	307 0.4×	81	5.2k
Brendan Delaney United Kingdom	43	624 0.5×	355 0.3×	912 0.9×	774 0.8×	395 0.5×	188	5.4k
Chunhua Weng United States	36	1.5k 1.3×	1.9k 1.8×	463 0.5×	1.1k 1.2×	2.2k 2.7×	284	6.1k
Randolph A. Miller United States	36	1.7k 1.4×	1.4k 1.3×	820 0.9×	540 0.6×	1.5k 1.9×	124	4.6k
David F. Lobach United States	29	2.1k 1.8×	803 0.8×	1.2k 1.2×	1.1k 1.2×	468 0.6×	97	5.5k
E. Andrew Balas United States	28	1.5k 1.2×	364 0.3×	2.8k 2.9×	1.4k 1.5×	295 0.4×	97	6.4k
Kevin B. Johnson United States	34	1.5k 1.3×	730 0.7×	1.3k 1.3×	768 0.8×	652 0.8×	125	4.8k
Hans‐Ulrich Prokosch Germany	27	1.0k 0.9×	690 0.7×	819 0.9×	660 0.7×	530 0.7×	214	3.4k

Countries citing papers authored by Ida Sim

Since Specialization

Citations

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

Fields of papers citing papers by Ida Sim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ida Sim

This figure shows the co-authorship network connecting the top 25 collaborators of Ida Sim. A scholar is included among the top collaborators of Ida Sim 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 Ida Sim. Ida Sim 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:

20 of 20 papers shown

Jeong, Jin-Woo, et al.. (2025). Noise-Aware Ensemble Learning for Efficient Radar Modulation Recognition. IEEE Internet of Things Journal. 12(14). 28937–28949.

Horwitz, Ralph I., et al.. (2025). The imperative of the person in personalized medicine. Communications Medicine. 5(1). 469–469.

Sim, Ida, et al.. (2025). Exercise Interventions for Depression, Anxiety, and Quality of Life in Older Adults With Cancer. JAMA Network Open. 8(2). e2457859–e2457859. 13 indexed citations breakdown →

Block, Valerie J., Kanishka Koshal, Jeffrey M. Gelfand, et al.. (2023). A Closed-Loop Falls Monitoring and Prevention App for Multiple Sclerosis Clinical Practice: Human-Centered Design of the Multiple Sclerosis Falls InsightTrack. JMIR Human Factors. 11. e49331–e49331. 6 indexed citations

Duan, Naihua, Daniel Norman, Christopher H. Schmid, Ida Sim, & Richard L. Kravitz. (2022). Personalized Data Science and Personalized (N-of-1) Trials: Promising Paradigms for Individualized Health Care. SHILAP Revista de lepidopterología. 4(SI3). 7 indexed citations

Kravitz, Richard L., Ida Sim, Deborah Ward, et al.. (2021). Chronic pain treatment preferences change following participation in N-of-1 trials, but not always in the expected direction. Journal of Clinical Epidemiology. 139. 167–176. 2 indexed citations

Lee, Austin, Stacey A. Kenfield, Elizabeth Wang, et al.. (2021). Tracking Lower Urinary Tract Symptoms and Tamsulosin Side Effects Among Older Men Using a Mobile App (PERSONAL): Feasibility and Usability Study. JMIR Formative Research. 5(12). e30762–e30762. 2 indexed citations

Wang, Elizabeth, Benjamin N. Breyer, Austin Lee, et al.. (2021). Perceptions of Older Men Using a Mobile Health App to Monitor Lower Urinary Tract Symptoms and Tamsulosin Side Effects: Mixed Methods Study. JMIR Human Factors. 8(4). e30767–e30767. 3 indexed citations

Stall, Shelley, Maryann E. Martone, Ishwar Chandramouliswaran, et al.. (2020). Generalist Repository Comparison Chart. Zenodo (CERN European Organization for Nuclear Research). 9 indexed citations

10.

Hekler, Eric B., Predrag Klasnja, Guillaume Chevance, et al.. (2019). Why we need a small data paradigm. BMC Medicine. 17(1). 133–133. 227 indexed citations

11.

Whitney, Robin L., et al.. (2018). Patient Perceptions of Their Own Data in mHealth Technology–Enabled N-of-1 Trials for Chronic Pain: Qualitative Study. JMIR mhealth and uhealth. 6(10). e10291–e10291. 27 indexed citations

12.

Hnat, Timothy, Syed Monowar Hossain, Nasir Ali, et al.. (2017). mCerebrum and Cerebral Cortex: A Real-time Collection, Analytic, and Intervention Platform for High-frequency Mobile Sensor Data.. AMIA. 4 indexed citations

13.

He, Zhe, Patrick Ryan, Shuang Wang, et al.. (2016). Multivariate analysis of the population representativeness of related clinical studies. Journal of Biomedical Informatics. 60. 66–76. 15 indexed citations

14.

Iorio, Alfonso, et al.. (2013). Tools for Identifying Reliable Evidence and Implementing it in Everyday Clinical Care.. Journal of the American Medical Informatics Association. 2013. 42–44. 1 indexed citations

15.

Chen, Connie, David Haddad, Joshua Selsky, et al.. (2012). Making Sense of Mobile Health Data: An Open Architecture to Improve Individual- and Population-Level Health. Journal of Medical Internet Research. 14(4). e112–e112. 77 indexed citations

16.

Estrin, Deborah & Ida Sim. (2010). Open mHealth Architecture: An Engine for Health Care Innovation. Science. 330(6005). 759–760. 222 indexed citations

17.

Rubin, Daniel L., Suzanna Lewis, Chris Mungall, et al.. (2006). The National Center for Biomedical Ontology: Advancing Biomedicine through Structured \nOrganization of Scientific Knowledge. eScholarship (California Digital Library). 110 indexed citations

18.

Sim, Ida, Douglas K Owens, Philip W. Lavori, & Glenn D. Rennels. (2000). Electronic Trial Banks: A Complementary Method for Reporting Randomized Trials. Medical Decision Making. 20(4). 440–450. 40 indexed citations

19.

Sim, Ida. (1998). Medical Publishing Meets AI. IEEE Intelligent Systems. 13(1). 10–12. 3 indexed citations

20.

Frankfurt, Maya, R.A. Siegel, Ida Sim, & W. Wuttke. (1986). Estrous Cycle Variations in Cholecystokinin and Substance P Concentrations in Discrete Areas of the Rat Brain. Neuroendocrinology. 42(3). 226–231. 45 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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