Matthew Old

5.3k citations
157 papers · 3.3k · h-index 34

Impact in

Papers in

    • Head and Neck Cancer Studies 58
    • Reconstructive Surgery and Microvascular Techniques 27
    • Head and Neck Surgical Oncology 16
    • Reconstructive Facial Surgery Techniques 8

Matthew Old

145 papers receiving 3.3k citations

Peers

Matthew Old
Comparison fields: 5 of 114
  • Otorhinolaryngology 1.2k
  • Oncology 673
  • Surgery 1.0k
  • Cancer Research 241
  • Oral Surgery 77
Replace Satoshi Yokoo with:
Satoshi Yokoo Japan
Jack L. Gluckman United States
Souichi Yanamoto Japan
Man Ki Chung South Korea
Ki Chang Keum South Korea
Se‐Heon Kim South Korea
Torsten E. Reichert Germany
Han‐Sin Jeong South Korea
Simon F. Preuss Germany
Trevor Hackman United States
Matthew Old relative to Satoshi Yokoo Japan Satoshi Yokoo's profile →
Citations per field
00.5×6.3×
Satoshi Yokoo · 1×
Citations per year

Countries citing papers authored by Matthew Old

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Old

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 157 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013185
2 2017117
3 2013109
4 201391
5 201487
6 201184
7 201182
8 201382
9 199879
10 201777
11 201871
12 202071
13 201667
14 201464
15 201362
16 201759
17 201559
18 201557
19 201857
20 201353

About Matthew Old

Matthew Old is a scholar working on Otorhinolaryngology, Surgery, Oncology, Molecular Biology and Genetics, having authored 157 papers that have together received 3.3k indexed citations. Recurring topics across this work include Head and Neck Cancer Studies (58 papers), Reconstructive Surgery and Microvascular Techniques (27 papers), Head and Neck Surgical Oncology (16 papers), Virus-based gene therapy research (14 papers), Cancer Diagnosis and Treatment (10 papers), Reconstructive Facial Surgery Techniques (8 papers), Cancer Immunotherapy and Biomarkers (7 papers) and Protein Degradation and Inhibitors (6 papers). The work is most often cited by research in Otorhinolaryngology (1.2k citations), Oncology (673 citations), Surgery (1.0k citations), Cancer Research (241 citations) and Oral Surgery (77 citations). Matthew Old has collaborated with scholars based in United States, Canada and Türkiye. Frequent co-authors include Theodoros N. Teknos, Enver Özer, Amit Agrawal, Stephen Y. Kang, Ricardo L. Carrau, James W. Rocco, Anna M. Marcinow, Antoine Eskander, Quintin Pan and Sidharth V. Puram. Their work appears in journals such as Oral Oncology, Head & Neck, The Laryngoscope, Journal of Clinical Oncology and Otolaryngology.

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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