Matthew Perez

1.2k citations
57 papers · 730 · h-index 16

Impact in

  • Oncology top 5%
    • Cutaneous Melanoma Detection and Management
    • CAR-T cell therapy research
    • Polyomavirus and related diseases
    • Vascular Tumors and Angiosarcomas
    • Ocular Oncology and Treatments

Papers in

    • Cutaneous Melanoma Detection and Management 14
    • CAR-T cell therapy research 9

Matthew Perez

52 papers receiving 718 citations

Peers

Matthew Perez
Comparison fields: 5 of 86
  • Oncology 408
  • Ophthalmology 62
  • Genetics 123
  • Immunology 77
  • Dermatology 26
Replace James Scanlon with:
James Scanlon United States
Ju‐Yeun Lee South Korea
Catriona Miller United States
Hiroko Fukushima Japan
Pablo Zoroquiaín Canada
Abha Gulati United Kingdom
Amelia Acha‐Sagredo Spain
Valéa Schumacher Germany
Rui Chang China
Matthew Perez relative to James Scanlon United States James Scanlon's profile →
Citations per field
00.5×4.4×
James Scanlon · 1×
Citations per year

Countries citing papers authored by Matthew Perez

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Perez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201877
2 201976
3 201357
4 201344
5 201839
6 201336
7 201835
8 202031
9 201830
10 201928
11 201726
12 201725
13 201923
14 201620
15 201719
16 202416
17 201715
18 202314
19 201413
20 202011

About Matthew Perez

Matthew Perez is a scholar working on Oncology, Surgery, Molecular Biology, Artificial Intelligence and Ophthalmology, having authored 57 papers that have together received 730 indexed citations. Recurring topics across this work include Cutaneous Melanoma Detection and Management (14 papers), CAR-T cell therapy research (9 papers), Melanoma and MAPK Pathways (7 papers), Ocular Oncology and Treatments (6 papers), Immunotherapy and Immune Responses (5 papers), Speech Recognition and Synthesis (5 papers), Speech and Audio Processing (5 papers) and Voice and Speech Disorders (4 papers). The work is most often cited by research in Oncology (408 citations), Ophthalmology (62 citations), Genetics (123 citations), Immunology (77 citations) and Dermatology (26 citations). Matthew Perez has collaborated with scholars based in United States, Spain and Australia. Frequent co-authors include Jonathan S. Zager, Amod A. Sarnaik, Syeda Mahrukh Hussnain Naqvi, Youngchul Kim, Jane L. Messina, Vernon K. Sondak, Amanda Holstein, Emily Mower Provost, Michael Lowe and Keith A. Delman. Their work appears in journals such as Annals of Surgical Oncology, Journal of Clinical Oncology, Journal of the American College of Surgeons, Journal of Surgical Oncology and Annals of 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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