Matthew Dixon

1.2k citations
56 papers · 564 indexed · h-index 13

Impact in

Papers in

    • Gastrointestinal Tumor Research and Treatment 8
    • Pancreatic and Hepatic Oncology Research 19

Matthew Dixon

45 papers receiving 548 citations

Peers

Matthew Dixon
Comparison fields: 5 of 54
  • Gastroenterology 90
  • Internal Medicine 34
  • Pulmonary and Respiratory Medicine 259
  • Oncology 189
  • Surgery 223
Replace Wilson Luiz da Costa with:
Wilson Luiz da Costa Brazil
Elena Strada Italy
Yuichi Tomiki Japan
Neal Wilkinson United States
Ann Hanly Ireland
L. Bosonnet United Kingdom
Homam Alkaied United States
Jennifer E. Hamrick-Turner United States
Akinari Miyazaki Japan
T Matsuda Japan
Matthew Dixon relative to Wilson Luiz da Costa Brazil Wilson Luiz da Costa's profile →
Citations per field
00.5×1.5×
Wilson Luiz da Costa · 1×
Citations per year

Countries citing papers authored by Matthew Dixon

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Dixon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20242
3 20242
4 20231
5 20222
6 20221
7 20224
8 20223
9 20210
10 20212
11 20201
12 202011
13 201821
14 20166
15 201612
16 201310
17
What is the accuracy of sentinel lymph node biopsy for gastric cancer? A systematic review (Systematic Reviews : Current issues in gastric cancer)
20120
18 201216
19 201275
20 199920

About Matthew Dixon

Matthew Dixon is a scholar working on Gastroenterology, Oncology, Hepatology, Surgery and Pulmonary and Respiratory Medicine, having authored 56 papers that have together received 564 indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (19 papers), Gastric Cancer Management and Outcomes (16 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (10 papers), Neuroendocrine Tumor Research Advances (9 papers), Gastrointestinal Tumor Research and Treatment (8 papers), Pancreatitis Pathology and Treatment (7 papers), Hepatocellular Carcinoma Treatment and Prognosis (6 papers) and Metastasis and carcinoma case studies (6 papers). The work is most often cited by research in Gastroenterology (90 citations), Internal Medicine (34 citations), Pulmonary and Respiratory Medicine (259 citations), Oncology (189 citations) and Surgery (223 citations). Matthew Dixon has collaborated with scholars based in United States, Canada and Switzerland. Frequent co-authors include Wee‐Shian Chan, Natalie G. Coburn, Lucy Helyer, Calvin Law, Roberta Cardoso, Rajini Seevaratnam, Alina Bocicariu, Niraj J. Gusani, Alyson Mahar and Lavanya Yohanathan. Their work appears in journals such as Annals of Surgical Oncology, Gastric Cancer, Journal of Clinical Oncology, HPB and Journal of Surgical Oncology.

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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