Javier Oliver

48 papers receiving 1.1k citations

Peers

Javier Oliver
Comparison fields: 5 of 105
  • Oncology 418
  • Immunology 239
  • Cancer Research 166
  • Genetics 244
  • Molecular Biology 586
Replace Yuji Ikeda with:
Yuji Ikeda Japan
Ronald Chan Hong Kong
Kun Mu China
Xiaochun Wan China
Yizhou Wang China
Camari Ferguson United States
Jean‐Paul Feugeas France
Jeong Han United States
Zhijun Ma China
Marcory C. R. F. van Dijk Netherlands
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Citations per field
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Citations per year

Countries citing papers authored by Javier Oliver

Since Specialization
Citations

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

Fields of papers citing papers by Javier Oliver

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999287
2 201779
3 200975
4 201473
5 200768
6 200760
7 199638
8 200536
9 201528
10 200527
11 202126
12 201223
13 202323
14 200522
15 200622
16 200522
17
Association of a functional inducible nitric oxide synthase promoter variant with susceptibility to biopsy-proven giant cell arteritis.
200520
18
Lack of association of a functional single nucleotide polymorphism of PTPN22, encoding lymphoid protein phosphatase, with susceptibility to biopsy-proven giant cell arteritis.
200517
19 201714
20 200713

About Javier Oliver

Javier Oliver is a scholar working on Molecular Biology, Oncology, Immunology, Cancer Research and Genetics, having authored 51 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (8 papers), Cancer Immunotherapy and Biomarkers (6 papers), DNA Repair Mechanisms (5 papers), Inflammatory Bowel Disease (5 papers), Immune Cell Function and Interaction (4 papers), Galectins and Cancer Biology (3 papers), BRCA gene mutations in cancer (3 papers) and T-cell and B-cell Immunology (3 papers). The work is most often cited by research in Oncology (418 citations), Immunology (239 citations), Cancer Research (166 citations), Genetics (244 citations) and Molecular Biology (586 citations). Javier Oliver has collaborated with scholars based in Spain, Sweden and France. Frequent co-authors include Javier Martı́n, Miguel Ángel López‐Nevot, Véronique Rolli, Carlotta Trucco, Eric Flatter, Gilbert de Murcia, Valérie Schreiber, Josiane Ménissier‐de Murcia, Françoise Dantzer and Claude Niedergang. Their work appears in journals such as Cancer Research, International Journal of Molecular Sciences, Biomedicines, Human Immunology and Scientific Reports.

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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