Fábio M. Iwamoto

11.8k citations
148 papers · 4.6k indexed · 1 hit paper · h-index 37
Topics
Glioma Diagnosis and Treatment (90 papers)Brain Metastases and Treatment (35 papers)CNS Lymphoma Diagnosis and Treatment (23 papers)

In The Last Decade

Fábio M. Iwamoto

142 papers receiving 4.6k citations

Hit Papers

PD-1 blockade with nivolumab in relapsed/refractory prima...20172026202020232017100200300

Peers

Fábio M. Iwamoto
Comparison fields: 5 of 118
  • Genetics 3.0k
  • Neurology 1.4k
  • Pulmonary and Respiratory Medicine 1.2k
  • Molecular Biology 937
  • Pathology and Forensic Medicine 886
Replace Yoshitaka Narita with:
Yoshitaka Narita Japan
Philippe Métellus France
Enrico Franceschi Italy
Soichiro Shibui Japan
Mathilde C.M. Kouwenhoven Netherlands
Keishi Makino Japan
Ghazaleh Tabatabai Germany
Andreas F. Hottinger Switzerland
Melike Pekmezci United States
Annunziato Mangiola Italy
Fábio M. Iwamoto relative to Yoshitaka Narita Japan Yoshitaka Narita's profile →
Citations per field
00.5×1.5×1.8×
Yoshitaka Narita · 1×
Citations per year

Countries citing papers authored by Fábio M. Iwamoto

Since Specialization
Citations

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

Fields of papers citing papers by Fábio M. Iwamoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fábio M. Iwamoto. 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 Fábio M. Iwamoto. The network helps show where Fábio M. Iwamoto may publish in the future.

Co-authorship network of co-authors of Fábio M. Iwamoto

This figure shows the co-authorship network connecting the top 25 collaborators of Fábio M. Iwamoto. A scholar is included among the top collaborators of Fábio M. Iwamoto based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Fábio M. Iwamoto. Fábio M. Iwamoto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 11
3 1
4 2
5 2
6 1
7 3
8 13
9 2
10 1
11 45
12 16
13 54
14 94
15 41
16 7
17 128
18 2
19 30
20 4

About Fábio M. Iwamoto

Fábio M. Iwamoto is a scholar working on Genetics, Neurology and Oncology, having authored 148 papers that have together received 4.6k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (90 papers), Brain Metastases and Treatment (35 papers) and CNS Lymphoma Diagnosis and Treatment (23 papers). The work is most often cited by research in Genetics (3.0k citations), Neurology (1.4k citations) and Pathology and Forensic Medicine (886 citations). Fábio M. Iwamoto has collaborated with scholars based in United States, Brazil and Germany. Frequent co-authors include Lauren E. Abrey, Lisa M. DeAngelis, Lakshmi Nayak, Howard A. Fine, Teri Kreisl, Andrew B. Lassman, Philip H. Gutin, Kathryn Beal, Joohee Sul and Katherine S. Panageas. Their work appears in journals such as Journal of Clinical Oncology, Blood and PLoS ONE.

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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