Antonio Campos‐Caro

2.1k total citations
54 papers, 1.5k citations indexed

About

Antonio Campos‐Caro is a scholar working on Molecular Biology, Immunology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Antonio Campos‐Caro has authored 54 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 19 papers in Immunology and 10 papers in Cellular and Molecular Neuroscience. Recurrent topics in Antonio Campos‐Caro's work include Nicotinic Acetylcholine Receptors Study (15 papers), T-cell and B-cell Immunology (11 papers) and Receptor Mechanisms and Signaling (10 papers). Antonio Campos‐Caro is often cited by papers focused on Nicotinic Acetylcholine Receptors Study (15 papers), T-cell and B-cell Immunology (11 papers) and Receptor Mechanisms and Signaling (10 papers). Antonio Campos‐Caro collaborates with scholars based in Spain, United States and Germany. Antonio Campos‐Caro's co-authors include José A. Brieva, Manuel Criado, Inés González-Garcı́a, F. Sala, Salvador Sala, Juan J. Ballesta, Francisco J. Medina, Carmen Segundo, Francisco Vicente‐Agulló and Miguel García‐Guzmán and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Antonio Campos‐Caro

53 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Antonio Campos‐Caro Spain 23 853 428 247 90 87 54 1.5k
Ting Chang China 17 446 0.5× 490 1.1× 211 0.9× 136 1.5× 122 1.4× 53 1.4k
Thomas Floß Germany 25 1.8k 2.1× 158 0.4× 209 0.8× 53 0.6× 175 2.0× 44 2.4k
Pauline Isakson Sweden 14 986 1.2× 165 0.4× 147 0.6× 18 0.2× 254 2.9× 21 2.0k
Suzanne Hosier United States 16 512 0.6× 371 0.9× 132 0.5× 35 0.4× 227 2.6× 17 1.2k
Rui L. Zhang United States 9 548 0.6× 84 0.2× 227 0.9× 16 0.2× 68 0.8× 9 1.1k
Anne-Sophie Dabert-Gay France 7 439 0.5× 116 0.3× 79 0.3× 16 0.2× 147 1.7× 7 1.1k
Michelle J. Doyle United States 13 837 1.0× 167 0.4× 57 0.2× 9 0.1× 80 0.9× 17 1.3k
Wilson O. Endege United States 16 803 0.9× 191 0.4× 80 0.3× 9 0.1× 79 0.9× 19 1.2k
Elena Zvaritch Canada 17 998 1.2× 135 0.3× 196 0.8× 9 0.1× 99 1.1× 25 1.3k
Rebeccah Riley United States 14 654 0.8× 216 0.5× 203 0.8× 14 0.2× 194 2.2× 16 1.4k

Countries citing papers authored by Antonio Campos‐Caro

Since Specialization
Citations

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

Fields of papers citing papers by Antonio Campos‐Caro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Antonio Campos‐Caro. 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 Antonio Campos‐Caro. The network helps show where Antonio Campos‐Caro may publish in the future.

Co-authorship network of co-authors of Antonio Campos‐Caro

This figure shows the co-authorship network connecting the top 25 collaborators of Antonio Campos‐Caro. A scholar is included among the top collaborators of Antonio Campos‐Caro 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 Antonio Campos‐Caro. Antonio Campos‐Caro 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.
Campos‐Caro, Antonio, et al.. (2025). Multimodal Fusion of Chest X-Rays and Blood Biomarkers for Automated Silicosis Staging. Journal of Clinical Medicine. 14(22). 8074–8074.
3.
Ortega, Marı́a J., et al.. (2024). Arylphthalide Delays Diabetic Retinopathy via Immunomodulating the Early Inflammatory Response in an Animal Model of Type 1 Diabetes Mellitus. International Journal of Molecular Sciences. 25(15). 8440–8440. 1 indexed citations
4.
Morillo, Daniel, et al.. (2024). Integrating routine blood biomarkers and artificial intelligence for supporting diagnosis of silicosis in engineered stone workers. Bioengineering & Translational Medicine. 9(6). e10694–e10694. 6 indexed citations
5.
Campos‐Caro, Antonio, et al.. (2023). Plasma Cytokine Profiling Reveals Differences between Silicotic Patients with Simple Silicosis and Those with Progressive Massive Fibrosis Caused by Engineered Stone. International Journal of Molecular Sciences. 24(2). 1541–1541. 4 indexed citations
6.
Campos‐Caro, Antonio, et al.. (2022). Adult kidney explants is a physiologic model for studying diabetic nephropathy. Life Sciences. 300. 120575–120575. 3 indexed citations
7.
Alcalde‐Estévez, Elena, Elena M. Sánchez‐Fernández, José M. Garcı́a Fernández, et al.. (2021). Anti-Inflammatory (M2) Response Is Induced by a sp2-Iminosugar Glycolipid Sulfoxide in Diabetic Retinopathy. Frontiers in Immunology. 12. 632132–632132. 21 indexed citations
8.
9.
Pfeiffer, Shona, Paul B. Donovan, Jochen H.M. Prehn, et al.. (2020). Circulating miR-330-3p in Late Pregnancy is Associated with Pregnancy Outcomes Among Lean Women with GDM. Scientific Reports. 10(1). 908–908. 28 indexed citations
10.
Rodríguez‐Bayona, Beatriz, et al.. (2019). Autoreactive B‐lymphocytes in SLE and RA patients: Isolation and characterisation using extractable nuclear and citrullinated antigens bound to immunobeads. European Journal of Immunology. 49(7). 1107–1116. 9 indexed citations
11.
Hierro‐Bujalance, Carmen, et al.. (2019). Transcriptional correlates of the pathological phenotype in a Huntington’s disease mouse model. Scientific Reports. 9(1). 17 indexed citations
12.
Olivares, Román, et al.. (2018). Early alteration of epigenetic-related transcription in Huntington’s disease mouse models. Scientific Reports. 8(1). 9925–9925. 36 indexed citations
13.
Valor, Luis M., et al.. (2017). The transcriptional profiling of human in vivo-generated plasma cells identifies selective imbalances in monoclonal gammopathies. PLoS ONE. 12(8). e0183264–e0183264. 10 indexed citations
14.
15.
Rodríguez‐Bayona, Beatriz, et al.. (2012). Cutting Edge: IL-21 Derived from Human Follicular Helper T Cells Acts as a Survival Factor for Secondary Lymphoid Organ, but Not for Bone Marrow, Plasma Cells. The Journal of Immunology. 188(4). 1578–1581. 28 indexed citations
16.
Brieva, José A., et al.. (2008). Transcription of PRDM1, the master regulator for plasma cell differentiation, depends on an SP1/SP3/EGR‐1 GC‐box. European Journal of Immunology. 38(8). 2316–2324. 22 indexed citations
17.
Torroglosa, Ana, Maribel Murillo‐Carretero, Carmen Romero‐Grimaldi, et al.. (2006). Nitric Oxide Decreases Subventricular Zone Stem Cell Proliferation by Inhibition of Epidermal Growth Factor Receptor and Phosphoinositide-3-Kinase/Akt Pathway. Stem Cells. 25(1). 88–97. 117 indexed citations
18.
Campos‐Caro, Antonio, et al.. (2001). Activity of the Nicotinic Acetylcholine Receptor α 5 and α 7 Subunit Promoters in Muscle Cells. DNA and Cell Biology. 20(10). 657–666. 16 indexed citations
19.
Ballesta, Juan J., Francisco Vicente‐Agulló, Antonio Campos‐Caro, et al.. (1998). A residue in the middle of the M2‐M3 loop of the β4 subunit specifically affects gating of neuronal nicotinic receptors. FEBS Letters. 433(1-2). 89–92. 29 indexed citations
20.
García‐Guzmán, Miguel, F. Sala, Salvador Sala, Antonio Campos‐Caro, & Manuel Criado. (1994). Role of Two Acetylcholine Receptor Subunit Domains in Homomer Formation and Intersubunit Recognition, as Revealed by .alpha.3 and .alpha.7 Subunit Chimeras. Biochemistry. 33(50). 15198–15203. 47 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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