Ignacio Matos

5.2k citations
58 papers · 869 · h-index 17

Impact in

  • Oncology top 5%
    • Cancer Immunotherapy and Biomarkers
    • Lung Cancer Research Studies
    • Immunotherapy and Immune Responses

Papers in

Ignacio Matos

56 papers receiving 856 citations

Peers

Ignacio Matos
Comparison fields: 5 of 54
  • Oncology 436
  • Immunology 141
  • Endocrinology, Diabetes and Metabolism 91
  • Cancer Research 77
  • Pulmonary and Respiratory Medicine 161
Replace Stefano Sioletic with:
Stefano Sioletic Italy
Alessandra Bisagni Italy
Bin Meng China
Yufeng Luo China
Pierre Bohanes United States
Rieke Fischer Germany
Alessandra Capodanno Italy
Younghye Kim South Korea
Zishuo I. Hu United States
Yang‐Gun Suh South Korea
Ignacio Matos relative to Stefano Sioletic Italy Stefano Sioletic's profile →
Citations per field
00.5×8.5×
Stefano Sioletic · 1×
Citations per year

Countries citing papers authored by Ignacio Matos

Since Specialization
Citations

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

Fields of papers citing papers by Ignacio Matos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020113
2 202091
3 202157
4 201851
5 202345
6 202243
7 201934
8 201633
9 201930
10 201730
11 201829
12 202028
13 202027
14 201926
15 202025
16 201823
17 201822
18 201816
19 202115
20 202012

About Ignacio Matos

Ignacio Matos is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Molecular Biology, Cancer Research and Radiology, Nuclear Medicine and Imaging, having authored 58 papers that have together received 869 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (16 papers), Colorectal Cancer Treatments and Studies (9 papers), Cancer Genomics and Diagnostics (7 papers), Thyroid Cancer Diagnosis and Treatment (7 papers), Fibroblast Growth Factor Research (5 papers), Lung Cancer Treatments and Mutations (5 papers), Cancer Treatment and Pharmacology (4 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). The work is most often cited by research in Oncology (436 citations), Immunology (141 citations), Endocrinology, Diabetes and Metabolism (91 citations), Cancer Research (77 citations) and Pulmonary and Respiratory Medicine (161 citations). Ignacio Matos has collaborated with scholars based in Spain, United States and United Kingdom. Frequent co-authors include Elena Garralda, Lipika Goyal, Funda Meric‐Bernstam, Josep Tabernero, Hendrik‐Tobias Arkenau, Rastislav Bahleda, Ben Tran, Vivek Subbiah, Dhakshina Moorthy Ganeshan and Cinta Hierro. Their work appears in journals such as Annals of Oncology, Journal of Clinical Oncology, The Oncologist, Clinical Cancer Research and International Journal of Oral and Maxillofacial 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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