Kim Sears

4.9k total citations · 5 hit papers
57 papers, 2.1k citations indexed

About

Kim Sears is a scholar working on General Health Professions, Statistics, Probability and Uncertainty and Emergency Medical Services. According to data from OpenAlex, Kim Sears has authored 57 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in General Health Professions, 13 papers in Statistics, Probability and Uncertainty and 12 papers in Emergency Medical Services. Recurrent topics in Kim Sears's work include Meta-analysis and systematic reviews (13 papers), Patient Safety and Medication Errors (10 papers) and Health Systems, Economic Evaluations, Quality of Life (9 papers). Kim Sears is often cited by papers focused on Meta-analysis and systematic reviews (13 papers), Patient Safety and Medication Errors (10 papers) and Health Systems, Economic Evaluations, Quality of Life (9 papers). Kim Sears collaborates with scholars based in Canada, Australia and United Kingdom. Kim Sears's co-authors include Zachary Munn, Cătălin Tufănaru, Edoardo Aromataris, Miloslav Klugar, Timothy Hugh Barker, Jennifer Stone, Jo Leonardi‐Bee, Sandeep Moola, Raluca Sfetcu and Pei‐Fan Mu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Cochrane Database of Systematic Reviews and Journal of Clinical Epidemiology.

In The Last Decade

Kim Sears

52 papers receiving 2.0k citations

Hit Papers

Conducting systematic reviews of association (etiology) 2015 2026 2018 2022 2015 2023 2024 2022 2022 100 200 300 400 500
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.

  1. Conducting systematic reviews of association (etiology)
    2015 524 citations Sandeep Moola, Zachary Munn et al. International Journal of Evidence-Based Healthcare profile →
  2. The revised JBI critical appraisal tool for the assessment of risk of bias for randomized controlled trials
    2023 468 citations Timothy Hugh Barker, Jennifer Stone et al. JBI Evidence Synthesis profile →
  3. The revised JBI critical appraisal tool for the assessment of risk of bias for quasi-experimental studies
    2024 215 citations Timothy Hugh Barker, Nahal Habibi et al. JBI Evidence Synthesis profile →
  4. Revising the JBI quantitative critical appraisal tools to improve their applicability: an overview of methods and the development process
    2022 194 citations Timothy Hugh Barker, Jennifer Stone et al. JBI Evidence Synthesis profile →
  5. Assessing the risk of bias of quantitative analytical studies: introducing the vision for critical appraisal within JBI systematic reviews
    2022 106 citations Zachary Munn, Jennifer Stone et al. JBI Evidence Synthesis profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kim Sears Canada 17 327 316 269 211 208 57 2.1k
Sheree Smith Australia 18 514 1.6× 317 1.0× 290 1.1× 244 1.2× 110 0.5× 58 2.1k
Rebecca K. Stellato Netherlands 24 238 0.7× 329 1.0× 196 0.7× 253 1.2× 275 1.3× 92 3.2k
Anwar Ahmed Saudi Arabia 24 228 0.7× 360 1.1× 314 1.2× 125 0.6× 192 0.9× 165 2.4k
Carlos A. Cuello‐García Mexico 22 189 0.6× 362 1.1× 313 1.2× 263 1.2× 102 0.5× 54 2.1k
Alaa Althubaiti Saudi Arabia 13 488 1.5× 490 1.6× 189 0.7× 161 0.8× 422 2.0× 57 2.3k
Cheryl Holly United States 19 613 1.9× 499 1.6× 198 0.7× 239 1.1× 319 1.5× 70 2.8k
Patraporn Bhatarasakoon Thailand 9 361 1.1× 368 1.2× 191 0.7× 156 0.7× 315 1.5× 36 1.9k
Péter Kakuk Hungary 8 358 1.1× 437 1.4× 175 0.7× 131 0.6× 206 1.0× 19 1.7k
Mostafa A. Abolfotouh Saudi Arabia 27 430 1.3× 405 1.3× 183 0.7× 151 0.7× 366 1.8× 110 2.3k
Juliana Balbinot Hilgert Brazil 29 510 1.6× 373 1.2× 481 1.8× 154 0.7× 120 0.6× 146 2.8k

Countries citing papers authored by Kim Sears

Since Specialization
Citations

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

Fields of papers citing papers by Kim Sears

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kim Sears

This figure shows the co-authorship network connecting the top 25 collaborators of Kim Sears. A scholar is included among the top collaborators of Kim Sears 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 Kim Sears. Kim Sears 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.
Barker, Timothy Hugh, Sabira Hasanoff, Edoardo Aromataris, et al.. (2025). The revised JBI critical appraisal tool for the assessment of risk of bias for analytical cross-sectional studies. JBI Evidence Synthesis. 24(3). 401–408. 7 indexed citations
2.
Stern, Cindy, Jennifer Stone, Hanan Khalil, et al.. (2025). Data analysis and presentation methods in umbrella reviews/overviews of reviews in health care: A cross-sectional study. Research Synthesis Methods. 17(1). 210–224. 1 indexed citations
3.
Rotter, Thomas, Leigh Kinsman, Agnès Alsius, et al.. (2025). Clinical pathways for secondary care and the effects on professional practice, patient outcomes, length of stay and hospital costs. Cochrane Database of Systematic Reviews. 2025(6). CD006632–CD006632. 2 indexed citations
4.
5.
Barker, Timothy Hugh, Nahal Habibi, Edoardo Aromataris, et al.. (2024). The revised JBI critical appraisal tool for the assessment of risk of bias for quasi-experimental studies. JBI Evidence Synthesis. 22(3). 378–388. 215 indexed citations breakdown →
6.
Barker, Timothy Hugh, Sabira Hasanoff, Edoardo Aromataris, et al.. (2024). The revised JBI critical appraisal tool for the assessment of risk of bias for cohort studies. JBI Evidence Synthesis. 23(3). 441–453. 19 indexed citations
7.
Sears, Kim, et al.. (2024). Implementing Triage-Bot: Supporting the Current Practice for Triage Nurses. Surgical Technology Online. 44. 61–65.
8.
Stone, Jennifer, Jo Leonardi‐Bee, Timothy Hugh Barker, et al.. (2024). Common tool structures and approaches to risk of bias assessment: implications for systematic reviewers. JBI Evidence Synthesis. 22(3). 389–393. 2 indexed citations
9.
Barker, Timothy Hugh, Jennifer Stone, Kim Sears, et al.. (2023). The revised JBI critical appraisal tool for the assessment of risk of bias for randomized controlled trials. JBI Evidence Synthesis. 21(3). 494–506. 468 indexed citations breakdown →
10.
11.
Munn, Zachary, Timothy Hugh Barker, Edoardo Aromataris, Miloslav Klugar, & Kim Sears. (2022). Including nonrandomized studies of interventions in systematic reviews: principles and practicalities. Journal of Clinical Epidemiology. 152. 314–315. 4 indexed citations
12.
Papadakos, Peter J., et al.. (2021). Reduction of Need for Treatment and Length of Hospital Stay Following Institution of a Neonatal Abstinence Syndrome Rooming-In Program in Ontario, Canada. Journal of Pediatric Nursing. 61. 84–89. 6 indexed citations
13.
Ashoor, Huda, Jenny McSharry, Amruta Radhakrishnan, et al.. (2020). Absorptive capacity in the adoption of innovations in health care: a scoping review protocol. JBI Evidence Synthesis. 19(6). 1452–1471. 2 indexed citations
14.
Ross‐White, Amanda, Christina Godfrey, Kim Sears, & Rosemary Wilson. (2019). Predatory publications in evidence syntheses. Journal of the Medical Library Association JMLA. 107(1). 57–61. 58 indexed citations
15.
Sears, Kim, Linda O’Brien‐Pallas, Bonnie Stevens, & Gail Tomblin Murphy. (2016). The Relationship Between Nursing Experience and Education and the Occurrence of Reported Pediatric Medication Administration Errors. Journal of Pediatric Nursing. 31(4). e283–e290. 16 indexed citations
16.
Moola, Sandeep, Zachary Munn, Kim Sears, et al.. (2015). Conducting systematic reviews of association (etiology). International Journal of Evidence-Based Healthcare. 13(3). 163–169. 524 indexed citations breakdown →
17.
Woo, Kevin, Kim Sears, Joan Almost, et al.. (2015). Exploration of pressure ulcer and related skin problems across the spectrum of health care settings in Ontario using administrative data. International Wound Journal. 14(1). 24–30. 28 indexed citations
18.
Tranmer, Joan, Lindsey Colley, Dana Edge, et al.. (2015). Trends in nurse practitioners' prescribing to older adults in Ontario, 2000-2010: a retrospective cohort study. CMAJ Open. 3(3). E299–E304. 5 indexed citations
19.
Sears, Kim, Amanda Ross‐White, & Christina Godfrey. (2012). The incidence, prevalence and contributing factors associated with the occurrence of medication errors for children and adults in the community setting: a systematic review. JBI Library of Systematic Reviews. 10(35). 2350–2464. 10 indexed citations
20.
Sears, Kim, Sandra Goldsworthy, & William M. Goodman. (2009). The Relationship Between Simulation in Nursing Education and Medication Safety. Journal of Nursing Education. 49(1). 52–55. 91 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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