Bruno Gomès

1.4k total citations
68 papers, 962 citations indexed

About

Bruno Gomès is a scholar working on Cognitive Neuroscience, Molecular Biology and Ophthalmology. According to data from OpenAlex, Bruno Gomès has authored 68 papers receiving a total of 962 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Cognitive Neuroscience, 15 papers in Molecular Biology and 9 papers in Ophthalmology. Recurrent topics in Bruno Gomès's work include Visual perception and processing mechanisms (19 papers), Neural dynamics and brain function (15 papers) and Retinal Development and Disorders (9 papers). Bruno Gomès is often cited by papers focused on Visual perception and processing mechanisms (19 papers), Neural dynamics and brain function (15 papers) and Retinal Development and Disorders (9 papers). Bruno Gomès collaborates with scholars based in Brazil, United States and France. Bruno Gomès's co-authors include Luiz Carlos L. Silveira, Givago da Silva Souza, Ana C. Gonçalves, Danilo Reymão Moreira, Maria Fâni Dolabela, Sandro Percário, Michael D. Green, Michelli Erica Souza Ferreira, Manoel da Silva Filho and Cézar Akiyoshi Saito and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Neuron.

In The Last Decade

Bruno Gomès

63 papers receiving 941 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Bruno Gomès Brazil 17 300 265 176 106 87 68 962
Jiyang Jiang Australia 23 296 1.0× 326 1.2× 68 0.4× 37 0.3× 174 2.0× 79 1.5k
Han Lee United States 20 1.0k 3.5× 382 1.4× 49 0.3× 270 2.5× 74 0.9× 41 1.9k
Wang China 18 302 1.0× 121 0.5× 35 0.2× 260 2.5× 101 1.2× 230 1.2k
Andrew S. Fix United States 20 622 2.1× 127 0.5× 77 0.4× 550 5.2× 108 1.2× 41 1.8k
Nahum Allon Israel 19 212 0.7× 95 0.4× 84 0.5× 77 0.7× 40 0.5× 29 829
Takeshi Hasegawa Japan 21 430 1.4× 116 0.4× 85 0.5× 155 1.5× 210 2.4× 102 1.8k
Robert D. Purves New Zealand 22 609 2.0× 122 0.5× 47 0.3× 514 4.8× 164 1.9× 42 1.4k
Yulin Zhang China 17 270 0.9× 141 0.5× 39 0.2× 76 0.7× 54 0.6× 108 1.1k

Countries citing papers authored by Bruno Gomès

Since Specialization
Citations

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

Fields of papers citing papers by Bruno Gomès

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bruno Gomès

This figure shows the co-authorship network connecting the top 25 collaborators of Bruno Gomès. A scholar is included among the top collaborators of Bruno Gomès 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 Bruno Gomès. Bruno Gomès 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
1.
2.
Gomès, Bruno, et al.. (2025). Machine learning identifies clinical tumor mutation landscape pathways of resistance to checkpoint inhibitor therapy in NSCLC. Journal for ImmunoTherapy of Cancer. 13(3). e009092–e009092. 4 indexed citations
3.
Dejardin, David, Anton Kraxner, Annika Blank, et al.. (2023). A Composite Decision Rule of CD8+ T-cell Density in Tumor Biopsies Predicts Efficacy in Early-stage, Immunotherapy Trials. Clinical Cancer Research. 30(4). 877–882. 4 indexed citations
4.
Grillo, Ricardo, et al.. (2023). Should orthognathic surgery be performed in growing patients? A scoping review. Journal of Cranio-Maxillofacial Surgery. 51(1). 60–66. 1 indexed citations
5.
Cannarile, Michael A., Vaios Karanikas, Bernhard Reis, et al.. (2023). Facts and Hopes on Biomarkers for Successful Early Clinical Immunotherapy Trials: Innovative Patient Enrichment Strategies. Clinical Cancer Research. 30(8). 1448–1456. 1 indexed citations
6.
Gomès, Bruno, et al.. (2020). The role of frontal and parietal cortex in the performance of gifted and average adolescents in a mental rotation task. PLoS ONE. 15(5). e0232660–e0232660. 10 indexed citations
7.
Nascimento, José Luíz Martins do, Givago da Silva Souza, Bruno Gomès, et al.. (2018). Methylmercury alters the number and topography of NO-synthase positive neurons in embryonic retina: Protective effect of alpha-tocopherol. Toxicology in Vitro. 53. 89–98. 3 indexed citations
8.
Tierny, Dominique, François Serres, Emmanuel Bouchaert, et al.. (2015). Phase I Clinical Pharmacology Study of F14512, a New Polyamine-Vectorized Anticancer Drug, in Naturally Occurring Canine Lymphoma. Clinical Cancer Research. 21(23). 5314–5323. 19 indexed citations
9.
Schwarz, Martin, Givago da Silva Souza, Bruno Gomès, et al.. (2013). Multifocal Electroretinography after High Dose Chloroquine Therapy for Malaria. SHILAP Revista de lepidopterología. 2 indexed citations
10.
Gomès, Bruno, et al.. (2013). The Spatial Distribution of L- and M-Cone Driven ERGs Reflecting Parvo- and Magnocellular Activity. Investigative Ophthalmology & Visual Science. 54(15). 6123–6123. 1 indexed citations
11.
Souza, Givago da Silva, et al.. (2012). Effects of the presentation mode and color contrast in visual evoked potential elicited by pseudo-random stimuli. Investigative Ophthalmology & Visual Science. 53(14). 5717–5717. 1 indexed citations
12.
Branco, Érika, et al.. (2012). Bone marrow cells of swine: Collection and separation. Microscopy Research and Technique. 75(7). 917–920. 4 indexed citations
13.
Souza, Givago da Silva, et al.. (2011). Achromatic Discrimination Of Gabor Functions: Space And Spatial Frequency Joint Entropy For The Human Visual System Estimated From Psychometric Functions. Investigative Ophthalmology & Visual Science. 52(14). 1882–1882.
14.
Robert, Virginie, Bruno Gomès, Marie-Laure Renoud, et al.. (2010). Knocking Down Cav1 Calcium Channels Implicated in Th2 Cell Activation Prevents Experimental Asthma. American Journal of Respiratory and Critical Care Medicine. 181(12). 1310–1317. 48 indexed citations
15.
Gomès, Bruno, Givago da Silva Souza, Cézar Akiyoshi Saito, et al.. (2010). Cone contrast influence on components of the pattern onset/offset VECP. Ophthalmic and Physiological Optics. 30(5). 518–524. 9 indexed citations
16.
Souza, Givago da Silva, et al.. (2008). Amplitude of the transient visual evoked potential (tVEP) as a function of achromatic and chromatic contrast: Contribution of different visual pathways. Visual Neuroscience. 25(3). 317–325. 23 indexed citations
17.
Gomès, Bruno, Magali Savignac, Pierre Paulet, et al.. (2007). Calcium Channel Blocker Prevents T Helper Type 2 Cell–mediated Airway Inflammation. American Journal of Respiratory and Critical Care Medicine. 175(11). 1117–1124. 26 indexed citations
18.
Gomès, Bruno, et al.. (2007). Signalisation dans les lymphocytes T : implication de canaux calciques. médecine/sciences. 23(2). 136–138. 1 indexed citations
19.
Souza, Givago da Silva, et al.. (2006). Human Achromatic Spatial Contrast Sensitivity Measured With Transient Visual Evoked Cortical Potential: Comparison With Psychophysics Measurements. Investigative Ophthalmology & Visual Science. 47(13). 5370–5370.
20.
Savignac, Magali, Bruno Gomès, Marc Moreau, et al.. (2004). Dihydropyridine Receptors Are Selective Markers of Th2 Cells and Can Be Targeted to Prevent Th2-Dependent Immunopathological Disorders. The Journal of Immunology. 172(9). 5206–5212. 41 indexed citations

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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