Matthew Lynch

77 papers receiving 967 citations

Peers

Matthew Lynch
Comparison fields: 5 of 161
  • Emergency Medicine 61
  • Surgery 252
  • Pathology and Forensic Medicine 101
  • Nutrition and Dietetics 86
  • Pediatrics, Perinatology and Child Health 109
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C Cooper United States
Zhiying You United States
Hiroyoshi Endo Japan
Y. Morita Japan
Chia‐Yen Dai Taiwan
J. Fine United States
Martin Wolff Germany
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Citations per field
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Citations per year

Countries citing papers authored by Matthew Lynch

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Lynch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Medical Laboratory Technology and Clinical Pathology
1969100
2
Lynch's Medical Laboratory Technology
198395
3 197367
4 197053
5 196851
6 195447
7 201146
8 196941
9 197139
10 195336
11 196436
12 200535
13 197029
14 195527
15 200323
16 197122
17 200921
18 195519
19
Medical laboratory technology
196318
20 202317

About Matthew Lynch

Matthew Lynch is a scholar working on Surgery, Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Religious studies and Radiology, Nuclear Medicine and Imaging, having authored 86 papers that have together received 1.1k indexed citations. Recurring topics across this work include Biblical Studies and Interpretation (8 papers), Autopsy Techniques and Outcomes (7 papers), Electron and X-Ray Spectroscopy Techniques (5 papers), Machine Learning in Materials Science (5 papers), Archaeology and Historical Studies (5 papers), Restraint-Related Deaths (4 papers), Cardiac electrophysiology and arrhythmias (4 papers) and Historical and Linguistic Studies (3 papers). The work is most often cited by research in Emergency Medicine (61 citations), Surgery (252 citations), Pathology and Forensic Medicine (101 citations), Nutrition and Dietetics (86 citations) and Pediatrics, Perinatology and Child Health (109 citations). Matthew Lynch has collaborated with scholars based in Australia, United States and Canada. Frequent co-authors include Noel Woodford, Albert Hercz, Henry Levison, Chris O’Donnell, John D. Bailey, Kyung‐Moo Yang, J. R. Hamilton, Bernard J. Reilly, J. F. T. Glasgow and Andrew Sass-Kortsāk. Their work appears in journals such as Forensic Science Medicine and Pathology, Medicine Science and the Law, The Journal of Pediatrics, Legal Medicine and Microscopy and Microanalysis.

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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