Megan Nuspl

2.7k citations
19 papers · 1.1k indexed · 1 hit paper · h-index 12

Impact in

Papers in

Megan Nuspl

18 papers receiving 1.1k citations

Hit Papers

Grey literature in systematic reviews: a cross-sectional study of the contribution of non-English reports, unpublished studies and dissertations to the results of meta-analyses in child-relevant reviews 2017 · 224 citations
224201720262020202350100150200

Peers

Megan Nuspl
Comparison fields: 5 of 126
  • Obstetrics and Gynecology 214
  • Endocrinology, Diabetes and Metabolism 267
  • Statistics, Probability and Uncertainty 90
  • Public Health, Environmental and Occupational Health 357
  • General Health Professions 205
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Citations per year

Countries citing papers authored by Megan Nuspl

Since Specialization
Citations

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

Fields of papers citing papers by Megan Nuspl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Megan Nuspl, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Megan Nuspl Line = papers co-authored together Megan Nuspl links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 20248
2 202317
3 20221
4 20220
5 20194
6 20199
7 201858
8 201823
9 2018187
10 2018115
11
Development and Usability Testing of EPC Evidence Review Dissemination Summaries for Health Systems Decisionmakers
20188
12 201715
13 20175
14
Grey literature in systematic reviews: a cross-sectional study of the contribution of non-English reports, unpublished studies and dissertations to the results of meta-analyses in child-relevant reviews
Hit paper breakdown →
2017224
15
First- and Second-Generation Antipsychotics in Children and Young Adults: Systematic Review Update
201719
16 201718
17 201673
18 2015162
19 2015144

About Megan Nuspl

Megan Nuspl is a scholar working on Anesthesiology and Pain Medicine, Statistics, Probability and Uncertainty, Pediatrics, Perinatology and Child Health, Pharmacy and Psychiatry and Mental health, having authored 19 papers that have together received 1.1k indexed citations. Recurring topics across this work include Delphi Technique in Research (3 papers), Pain Management and Opioid Use (2 papers), Infant Development and Preterm Care (2 papers), Health Policy Implementation Science (2 papers), Attention Deficit Hyperactivity Disorder (2 papers), Musculoskeletal pain and rehabilitation (2 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers) and Meta-analysis and systematic reviews (2 papers). The work is most often cited by research in Obstetrics and Gynecology (214 citations), Endocrinology, Diabetes and Metabolism (267 citations), Statistics, Probability and Uncertainty (90 citations), Public Health, Environmental and Occupational Health (357 citations) and General Health Professions (205 citations). Megan Nuspl has collaborated with scholars based in Canada, Spain and United Kingdom. Frequent co-authors include Lisa Hartling, Ben Vandermeer, Robin Featherstone, Donna M Dryden, Kassi Shave, Jennifer Pillay, Sonia Butalia, Pritam Chordiya, Ronald J. Sigal and Lois Donovan. Their work appears in journals such as BMC Medical Research Methodology, British Journal of Sports Medicine, Annals of Internal Medicine, BMJ Open and BMC Pediatrics.

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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