Olivier Gruselle

1.4k citations
18 papers · 639 indexed · h-index 9

Olivier Gruselle

17 papers receiving 633 citations

Peers

Olivier Gruselle
Comparison fields: 5 of 51
  • Immunology 353
  • Oncology 360
  • Pulmonary and Respiratory Medicine 144
  • Cancer Research 59
  • Molecular Biology 219
Replace Ahmad Mokatrin with:
Ahmad Mokatrin United States
Baoyun Fu China
Katharina Balschun Germany
Sarah Bernstein United States
Christy Ralph United Kingdom
Joanne Coleman United States
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Citations per field
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Citations per year

Countries citing papers authored by Olivier Gruselle

Since Specialization
Citations

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

Fields of papers citing papers by Olivier Gruselle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

18 of 18 papers shown
#Work
1 20234
2 202110
3 202079
4 201622
5 201619
6 20157
7
Rates of MAGE-A3 and PRAME expressing tumors in FFPE tissue specimens from bladder cancer patients: potential targets for antigen-specific cancer immunotherapeutics.
201514
8 20152
9 20146
10 20133
11 2013290
12 201269
13 20125
14
Clinical Activity Following the Administration of the MAGE-A3 Antigen-specific Cancer Immunotherapeutic in Both the Melanoma and NSCLC is Associated With Similar Predictive Biomarkers Present Prior Treatment
20092
15 20090
16
Clinical response to the MAGE-A3 immunotherapeutic in metastatic melanoma patients is associated with a specific gene profile present prior to treatment
20088
17 200851
18 200848

About Olivier Gruselle

Olivier Gruselle is a scholar working on Immunology, Oncology, Hematology, Clinical Biochemistry and Molecular Biology, having authored 18 papers that have together received 639 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (15 papers), Cancer Immunotherapy and Biomarkers (7 papers), vaccines and immunoinformatics approaches (6 papers), RNA Interference and Gene Delivery (4 papers), Glycosylation and Glycoproteins Research (3 papers), Respiratory viral infections research (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and Pneumonia and Respiratory Infections (2 papers). The work is most often cited by research in Immunology (353 citations), Oncology (360 citations), Pulmonary and Respiratory Medicine (144 citations), Cancer Research (59 citations) and Molecular Biology (219 citations). Olivier Gruselle has collaborated with scholars based in Belgium, United States and Switzerland. Frequent co-authors include Jamila Louahed, Vincent Brichard, Frédéric Lehmann, Bart Spiessens, Wim H.J. Kruit, Benjamin Dizier, Fernando Ulloa‐Montoya, Alexander M.M. Eggermont, Johan Vansteenkiste and Stefan Suciu. Their work appears in journals such as Journal of Clinical Oncology, Blood, Molecular Cancer Therapeutics, British Journal of Cancer and Lung Cancer.

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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