Natalie M. Best

1.0k citations
16 papers · 753 indexed · h-index 11
Topics
Spine and Intervertebral Disc Pathology (11 papers)Spinal Fractures and Fixation Techniques (8 papers)Pelvic and Acetabular Injuries (6 papers)
Partner nations
United States

In The Last Decade

Natalie M. Best

14 papers receiving 717 citations

Peers

Natalie M. Best
Comparison fields: 5 of 47
  • Surgery 688
  • Pathology and Forensic Medicine 654
  • Pharmacology 119
  • Biomedical Engineering 59
  • Immunology 36
Replace Dilip Chand Raja Soundararajan with:
Dilip Chand Raja Soundararajan India
Milorad Vilendečić Croatia
Bo Young Cho South Korea
Mona Bhatia India
Kyung‐Chung Kang South Korea
Mingming Pan China
Chang Il Ju South Korea
Frédéric Martens Belgium
Mohammed Boucetta Morocco
Keith H. Bridwell United States
Natalie M. Best relative to Dilip Chand Raja Soundararajan India Dilip Chand Raja Soundararajan's profile →
Citations per field
00.5×4.5×
Dilip Chand Raja Soundararajan · 1×
Citations per year

Countries citing papers authored by Natalie M. Best

Since Specialization
Citations

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

Fields of papers citing papers by Natalie M. Best

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Natalie M. Best

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

All Works

16 of 16 papers shown
#WorkIndexed citations
1 0
2 0
3
Outpatient Microdiscectomy for Lumbar Disc Herniation in Adolescent Patients: Long-Term Follow-up Study
3
4
Computer-assisted spinal navigation using a percutaneous dynamic reference frame for posterior fusions of the lumbar spine.
16
5
Sacral fractures.
2
6 70
7 63
8 45
9 74
10 124
11 43
12 66
13 148
14 82
15 16
16 1

About Natalie M. Best

Natalie M. Best is a scholar working on Pathology and Forensic Medicine, Surgery and Ecological Modeling, having authored 16 papers that have together received 753 indexed citations. Recurring topics across this work include Spine and Intervertebral Disc Pathology (11 papers), Spinal Fractures and Fixation Techniques (8 papers) and Pelvic and Acetabular Injuries (6 papers). The work is most often cited by research in Pathology and Forensic Medicine (654 citations), Surgery (688 citations) and Pharmacology (119 citations). Natalie M. Best has collaborated with scholars based in United States. Frequent co-authors include Rick C. Sasso, Thomas M. Reilly, Robert A. McGuire, Sajjad Hussain, Praveen V. Mummaneni, Daniel Hanson, Tom Reilly, Newton H. Metcalf, Paul A. Anderson and Edwin L. Cooper. Their work appears in journals such as Spine, The Spine Journal and Developmental & Comparative Immunology.

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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