Felipe García

570 total citations
8 papers, 470 citations indexed

About

Felipe García is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Felipe García has authored 8 papers receiving a total of 470 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Immunology, 3 papers in Molecular Biology and 3 papers in Oncology. Recurrent topics in Felipe García's work include Immune Response and Inflammation (4 papers), Inflammation biomarkers and pathways (2 papers) and Receptor Mechanisms and Signaling (2 papers). Felipe García is often cited by papers focused on Immune Response and Inflammation (4 papers), Inflammation biomarkers and pathways (2 papers) and Receptor Mechanisms and Signaling (2 papers). Felipe García collaborates with scholars based in Spain, Italy and Brazil. Felipe García's co-authors include Pablo Fuentes‐Prior, Francisco Arnalich, Carlos del Fresno, Eduardo López‐Collazo, Vanesa Goméz-Piña, Alessandra Soares‐Schanoski, Alexandro Rodríguez-Rojas, Irene Fernández-Ruíz, María Teresa Vallejo‐Cremades and Pedro Escoll and has published in prestigious journals such as The Journal of Immunology, PLoS ONE and Scientific Reports.

In The Last Decade

Felipe García

8 papers receiving 463 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Felipe García Spain	7	336	103	63	59	44	8	470
Daisuke Okutani Japan	8	209 0.6×	103 1.0×	38 0.6×	110 1.9×	37 0.8×	27	474
Amado A. Quintar Argentina	14	263 0.8×	146 1.4×	62 1.0×	148 2.5×	56 1.3×	30	571
Joshua J. Michel United States	11	216 0.6×	118 1.1×	94 1.5×	25 0.4×	52 1.2×	19	487
Catalina Crespı́ Spain	14	173 0.5×	155 1.5×	78 1.2×	80 1.4×	34 0.8×	28	473
Eddy D. Zandee van Rilland United States	4	264 0.8×	364 3.5×	93 1.5×	35 0.6×	23 0.5×	9	593
Michael J. Coronado United States	11	212 0.6×	121 1.2×	80 1.3×	24 0.4×	41 0.9×	14	670
Samira Salek‐Ardakani United Kingdom	7	174 0.5×	103 1.0×	116 1.8×	91 1.5×	24 0.5×	9	463
Kiran Dhillon Canada	6	126 0.4×	101 1.0×	59 0.9×	40 0.7×	42 1.0×	8	415
Shaoquan Ji United States	9	133 0.4×	117 1.1×	46 0.7×	62 1.1×	65 1.5×	16	433
Jaime L. Hook United States	7	394 1.2×	112 1.1×	105 1.7×	131 2.2×	61 1.4×	12	703

Countries citing papers authored by Felipe García

Since Specialization

Citations

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

Fields of papers citing papers by Felipe García

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Felipe García

This figure shows the co-authorship network connecting the top 25 collaborators of Felipe García. A scholar is included among the top collaborators of Felipe García 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 Felipe García. Felipe García is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

1.

Avendaño‐Ortiz, José, et al.. (2021). SARS-CoV-2 IgG seropositivity in a cohort of 449 non-hospitalized individuals during Spanish COVID-19 lockdown. Scientific Reports. 11(1). 4 indexed citations

2.

Fresno, Carlos del, Vanesa Goméz-Piña, Vanesa Lores, et al.. (2008). Monocytes from Cystic Fibrosis Patients Are Locked in an LPS Tolerance State: Down-Regulation of TREM-1 as Putative Underlying Mechanism. PLoS ONE. 3(7). e2667–e2667. 69 indexed citations

3.

Goméz-Piña, Vanesa, Alessandra Soares‐Schanoski, Alexandro Rodríguez-Rojas, et al.. (2007). Metalloproteinases Shed TREM-1 Ectodomain from Lipopolysaccharide-Stimulated Human Monocytes. The Journal of Immunology. 179(6). 4065–4073. 171 indexed citations

4.

Fresno, Carlos del, Alessandra Soares‐Schanoski, Vanesa Goméz-Piña, et al.. (2007). Inflammatory responses associated with acute coronary syndrome up-regulate IRAK-M and induce endotoxin tolerance in circulating monocytes. Journal of Endotoxin Research. 13(1). 39–52. 50 indexed citations

5.

Soares‐Schanoski, Alessandra, Vanesa Goméz-Piña, Carlos del Fresno, et al.. (2007). 6-Methylprednisolone down-regulates IRAK-M in human and murine osteoclasts and boosts bone-resorbing activity: a putative mechanism for corticoid-induced osteoporosis. Journal of Leukocyte Biology. 82(3). 700–709. 23 indexed citations

6.

Soares‐Schanoski, Alessandra, Carlos del Fresno, Vanesa Goméz-Piña, et al.. (2006). Nitric oxide induces SOCS-1 expression in human monocytes in a TNF-α-dependent manner. Journal of Endotoxin Research. 12(5). 296–306. 15 indexed citations

7.

Soares‐Schanoski, Alessandra, Carlos del Fresno, Vanesa Goméz-Piña, et al.. (2006). Nitric oxide induces SOCS-1 expression in human monocytes in a TNF-α-dependent manner. Journal of Endotoxin Research. 12(5). 296–306. 13 indexed citations

8.

Fresno, Carlos del, Karel Otero, Pablo Fuentes‐Prior, et al.. (2005). Tumor Cells Deactivate Human Monocytes by Up-Regulating IL-1 Receptor Associated Kinase-M Expression via CD44 and TLR4. The Journal of Immunology. 174(5). 3032–3040. 125 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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