Martin McNally

9.1k total citations · 4 hit papers
158 papers, 6.0k citations indexed

About

Martin McNally is a scholar working on Surgery, Epidemiology and Internal Medicine. According to data from OpenAlex, Martin McNally has authored 158 papers receiving a total of 6.0k indexed citations (citations by other indexed papers that have themselves been cited), including 142 papers in Surgery, 60 papers in Epidemiology and 17 papers in Internal Medicine. Recurrent topics in Martin McNally's work include Orthopedic Infections and Treatments (114 papers), Infectious Diseases and Tuberculosis (46 papers) and Bone fractures and treatments (45 papers). Martin McNally is often cited by papers focused on Orthopedic Infections and Treatments (114 papers), Infectious Diseases and Tuberculosis (46 papers) and Bone fractures and treatments (45 papers). Martin McNally collaborates with scholars based in United Kingdom, Switzerland and Belgium. Martin McNally's co-authors include Jamie Ferguson, Willem‐Jan Metsemakers, Bridget L. Atkins, Mario Morgenstern, Maria Dudareva, Matthew Scarborough, Geertje A. M. Govaert, M.H.J. Verhofstad, William T. Obremskey and Richard Küehl and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Bone and Joint Surgery and Journal of Clinical Microbiology.

In The Last Decade

Martin McNally

150 papers receiving 5.9k citations

Hit Papers

Fracture-related infection: A consensus on definition fro... 2017 2026 2020 2023 2017 2020 2019 2019 100 200 300 400 500

Peers

Martin McNally
Comparison fields: 5 of 134
  • Surgery 5.2k
  • Epidemiology 2.2k
  • Infectious Diseases 338
  • Internal Medicine 334
  • Emergency Medicine 320
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Carlos A. Higuera United States View profile →
Citations per field, relative to Martin McNally
Martin McNally · 1×
Citations per year, relative to Martin McNally
Martin McNally · 1×

Countries citing papers authored by Martin McNally

Since Specialization
Citations

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

Fields of papers citing papers by Martin McNally

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin McNally

This figure shows the co-authorship network connecting the top 25 collaborators of Martin McNally. A scholar is included among the top collaborators of Martin McNally 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 Martin McNally. Martin McNally 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
# Work Indexed citations
1 0
2 0
3 1
4 1
5 2
6 9
7 21
8 15
9 11
10 46
11 27
12 1
13 1
14 26
15 52
16 27
17 34
18 1
19 128
20
Attitudes to, and utilization of, low molecular weight heparins in joint replacement surgery.
16

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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