Omar Saavedra

769 citations
23 papers · 443 · h-index 10

Impact in

    • Cancer Genomics and Diagnostics
    • Cancer Immunotherapy and Biomarkers
    • CAR-T cell therapy research

Papers in

Omar Saavedra

22 papers receiving 438 citations

Peers

Omar Saavedra
Comparison fields: 5 of 67
  • Cancer Research 108
  • Oncology 91
  • Hematology 32
  • Immunology 51
  • Health Informatics 3
Replace Ekaterina A. Alekseeva with:
Ekaterina A. Alekseeva Russia
Maosong Lin China
Mai Q. Nguyen United States
Rika Kasajima Japan
Yasuhiro Arakawa Japan
Fang Zhou China
Jitian Li China
Nicola Cresti United Kingdom
Ikei S. Kobayashi Japan
Omar Saavedra relative to Ekaterina A. Alekseeva Russia Ekaterina A. Alekseeva's profile →
Citations per field
00.5×5×12.2×
Ekaterina A. Alekseeva · 1×
Citations per year

Countries citing papers authored by Omar Saavedra

Since Specialization
Citations

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

Fields of papers citing papers by Omar Saavedra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202297
2 202065
3 202463
4 202061
5 202431
6 202319
7 202118
8 202314
9 202312
10 202511
11 20229
12 20249
13 20247
14 20236
15 20246
16 20204
17 20213
18 20223
19 20222
20 20201

About Omar Saavedra

Omar Saavedra is a scholar working on Oncology, Cancer Research, Hematology, Molecular Biology and Geriatrics and Gerontology, having authored 23 papers that have together received 443 indexed citations. Recurring topics across this work include Protein Degradation and Inhibitors (4 papers), Cancer Immunotherapy and Biomarkers (4 papers), Cancer Genomics and Diagnostics (3 papers), Multiple Myeloma Research and Treatments (2 papers), Bioinformatics and Genomic Networks (2 papers), Lung Cancer Treatments and Mutations (2 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers) and Histone Deacetylase Inhibitors Research (1 paper). The work is most often cited by research in Cancer Research (108 citations), Oncology (91 citations), Hematology (32 citations), Immunology (51 citations) and Health Informatics (3 citations). Omar Saavedra has collaborated with scholars based in Spain, United States and Italy. Frequent co-authors include Irene Braña, Víctor Moreno, María Vieito, Elena Garralda, Juan Manuel Sepúlveda-Sánchez, Marlene B. Zuraek, Ellen H. Filvaroff, Zariana G. Nikolova, Muskan Lamba and Bernard Doger. Their work appears in journals such as Annals of Oncology, European Journal of Cancer, Nature Cancer, Nature Medicine and Med.

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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