Jean M. Scott

4.4k citations
59 papers · 3.4k indexed · 1 hit paper · h-index 18

Jean M. Scott

58 papers receiving 3.1k citations

Hit Papers

Bone density at various sites for prediction of hip fract...1.9k199320262004201550010001.5k

Peers

Jean M. Scott
Comparison fields: 5 of 159
  • Orthopedics and Sports Medicine 1.6k
  • Health Information Management 148
  • Rheumatology 430
  • Clinical Biochemistry 152
  • Surgery 863
Replace Samuel D Vasikaran with:
Samuel D Vasikaran Australia
Hiroshi Hagino Japan
Francesco D’Aiuto United Kingdom
Manju Chandran Singapore
Elizabeth Curtis United Kingdom
Deborah E. Sellmeyer United States
Junichiro James Kazama Japan
Stephen P. Heyse United States
Molly T. Vogt United States
J Štěpán Czechia
Jean M. Scott relative to Samuel D Vasikaran Australia Samuel D Vasikaran's profile →
Citations per field
00.5×8.7×
Samuel D Vasikaran · 1×
Citations per year

Countries citing papers authored by Jean M. Scott

Since Specialization
Citations

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

Fields of papers citing papers by Jean M. Scott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jean M. Scott. 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 Jean M. Scott. The network helps show where Jean M. Scott may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Jean M. Scott, 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 Jean M. Scott Line = papers co-authored together Jean M. Scott links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1
Health information technology and large-scale adverse events.
20151
2 201534
3 2014148
4 20053
5 20051
6 200486
7 19998
8
Pharmacodynamics of Org 9487 Onset and recovery characteristics of single and three incremental bolus doses
19962
9
Bone density at various sites for prediction of hip fracturesbreakdown →
19931937
10 198214
11 19823
12 197933
13 197513
14 197515
15 197337
16 19724
17 196632
18 19656
19 19551
20 195425

About Jean M. Scott

Jean M. Scott is a scholar working on Health Information Management, Obstetrics and Gynecology and Emergency Medical Services, having authored 59 papers that have together received 3.4k indexed citations. Recurring topics across this work include Pregnancy and preeclampsia studies (7 papers), Iron Metabolism and Disorders (5 papers), Electronic Health Records Systems (5 papers), Hemoglobinopathies and Related Disorders (5 papers), Data Quality and Management (5 papers), Neonatal Respiratory Health Research (4 papers), Healthcare Technology and Patient Monitoring (3 papers) and Folate and B Vitamins Research (3 papers). The work is most often cited by research in Orthopedics and Sports Medicine (1.6k citations), Health Information Management (148 citations) and Rheumatology (430 citations). Jean M. Scott has collaborated with scholars based in United Kingdom, United States and Ireland. Frequent co-authors include Jane A. Cauley, Kristine E. Ensrud, Steven R. Cummings, Michael C. Nevitt, Harry K. Genant, Dennis M. Black, Thomas Vogt, Warren S. Browner, Hardeep Singh and Dean F. Sittig. Their work appears in journals such as The Lancet, American Journal of Obstetrics and Gynecology and Plastic & Reconstructive Surgery.

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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