Matthew D. Read

2.0k citations
53 papers · 1.5k · h-index 17

Impact in

Papers in

    • Esophageal Cancer Research and Treatment 17
    • Esophageal and GI Pathology 8
    • Bariatric Surgery and Outcomes 5
    • COVID-19 and healthcare impacts 7

Matthew D. Read

50 papers receiving 1.4k citations

Peers

Matthew D. Read
Comparison fields: 5 of 105
  • Oncology 581
  • Cancer Research 136
  • Pulmonary and Respiratory Medicine 280
  • Emergency Medicine 65
  • Surgery 306
Replace Ching‐Liang Ho with:
Ching‐Liang Ho Taiwan
Christoph Tschuor Switzerland
Jean‐Claude Givel Switzerland
Kun‐Yun Yeh Taiwan
Harald Schrem Germany
R J Davies United Kingdom
Ailín C. Rogers Ireland
Madhabananda Kar India
Stefano Puleo Italy
Abeezar Ismail Sarela United Kingdom
Matthew D. Read relative to Ching‐Liang Ho Taiwan Ching‐Liang Ho's profile →
Citations per field
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Ching‐Liang Ho · 1×
Citations per year

Countries citing papers authored by Matthew D. Read

Since Specialization
Citations

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

Fields of papers citing papers by Matthew D. Read

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017281
2 2021214
3 2020167
4 202099
5 201580
6 201375
7 202054
8 199346
9 202243
10 202230
11 201930
12 202027
13 202126
14 202024
15 201523
16 202122
17 202217
18 201616
19 202114
20 202311

About Matthew D. Read

Matthew D. Read is a scholar working on Surgery, Oncology, Gastroenterology, Pulmonary and Respiratory Medicine and Emergency Medicine, having authored 53 papers that have together received 1.5k indexed citations. Recurring topics across this work include Esophageal Cancer Research and Treatment (17 papers), Esophageal and GI Pathology (8 papers), COVID-19 and healthcare impacts (7 papers), Gastric Cancer Management and Outcomes (5 papers), Bariatric Surgery and Outcomes (5 papers), Gastroesophageal reflux and treatments (4 papers), Trauma and Emergency Care Studies (2 papers) and Lung Cancer Diagnosis and Treatment (2 papers). The work is most often cited by research in Oncology (581 citations), Cancer Research (136 citations), Pulmonary and Respiratory Medicine (280 citations), Emergency Medicine (65 citations) and Surgery (306 citations). Matthew D. Read has collaborated with scholars based in Australia, Netherlands and United Kingdom. Frequent co-authors include Wayne Allen Phillips, Nicholas James Clemons, Carleen M. Cullinane, Karen G. Montgomery, Ygal Haupt, Klas G. Wiman, Walid J. Azar, Sue Haupt, Michael Wei Hii and Oliver M. Fisher. Their work appears in journals such as British journal of surgery, Annals of the New York Academy of Sciences, ANZ Journal of Surgery, Diseases of the Esophagus and Obesity 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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