Diego A. López

432 total citations
9 papers, 155 citations indexed

About

Diego A. López is a scholar working on Immunology, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Diego A. López has authored 9 papers receiving a total of 155 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Immunology, 4 papers in Pulmonary and Respiratory Medicine and 2 papers in Surgery. Recurrent topics in Diego A. López's work include Neonatal Respiratory Health Research (3 papers), IL-33, ST2, and ILC Pathways (2 papers) and Veterinary Equine Medical Research (2 papers). Diego A. López is often cited by papers focused on Neonatal Respiratory Health Research (3 papers), IL-33, ST2, and ILC Pathways (2 papers) and Veterinary Equine Medical Research (2 papers). Diego A. López collaborates with scholars based in United States, Germany and Belgium. Diego A. López's co-authors include Dominique Cassart, Valéria Busoni, Denis Verwilghen, Anna E. Beaudin, Gloria E. Hernandez, Nina Cabezas‐Wallscheid, E. Camilla Forsberg, Feiyang Ma, Christian J. Kastrup and Matthew J. Flick and has published in prestigious journals such as The Journal of Experimental Medicine, The EMBO Journal and The Journal of Immunology.

In The Last Decade

Diego A. López

7 papers receiving 150 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Diego A. López United States 6 66 51 35 28 26 9 155
Tadashi Okimura Sri Lanka 17 48 0.7× 19 0.4× 45 1.3× 7 0.3× 103 4.0× 30 534
Anna K. Rötting Germany 14 21 0.3× 243 4.8× 129 3.7× 88 3.1× 26 1.0× 29 337
Reinhard Hirt Austria 11 19 0.3× 38 0.7× 61 1.7× 5 0.2× 14 0.5× 32 293
M. A. van der Velden Netherlands 12 27 0.4× 220 4.3× 115 3.3× 58 2.1× 29 1.1× 25 362
Amy E Lingard Australia 6 40 0.6× 38 0.7× 151 4.3× 4 0.1× 12 0.5× 9 291
Mark A. Williams United States 7 6 0.1× 10 0.2× 9 0.3× 21 0.8× 56 2.2× 10 200
Reza Aflatoonian Iran 7 239 3.6× 5 0.1× 7 0.2× 69 2.5× 28 1.1× 12 333
Tripti Gupta United States 9 19 0.3× 7 0.1× 3 0.1× 11 0.4× 28 1.1× 27 197
S. Brownlie United Kingdom 10 5 0.1× 19 0.4× 32 0.9× 20 0.7× 24 0.9× 18 246
Margaret Batchelder United States 6 50 0.8× 5 0.1× 87 2.5× 6 0.2× 15 0.6× 8 204

Countries citing papers authored by Diego A. López

Since Specialization
Citations

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

Fields of papers citing papers by Diego A. López

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Diego A. López. 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 Diego A. López. The network helps show where Diego A. López may publish in the future.

Co-authorship network of co-authors of Diego A. López

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

All Works

9 of 9 papers shown
1.
López, Diego A., et al.. (2024). Prenatal inflammation remodels lung immunity and function by programming ILC2 hyperactivation. Cell Reports. 43(7). 114365–114365. 5 indexed citations
2.
Savage, Hannah P., Zheng Luo, Christopher M. Tipton, et al.. (2023). B-1 plasma cells require non-cognate CD4 T cell help to generate a unique repertoire of natural IgM. The Journal of Experimental Medicine. 220(4). 11 indexed citations
3.
López, Diego A., et al.. (2023). Both maternal IFNγ exposure and acute prenatal infection with Toxoplasma gondii activate fetal hematopoietic stem cells. The EMBO Journal. 42(14). e112693–e112693. 10 indexed citations
4.
Hernandez, Gloria E., Feiyang Ma, Guadalupe Martínez, et al.. (2022). Aortic intimal resident macrophages are essential for maintenance of the non-thrombogenic intravascular state. Nature Cardiovascular Research. 1(1). 67–84. 33 indexed citations
5.
López, Diego A., et al.. (2022). Prenatal inflammation perturbs murine fetal hematopoietic development and causes persistent changes to postnatal immunity. Cell Reports. 41(8). 111677–111677. 28 indexed citations
6.
López, Diego A., et al.. (2022). Maternal immune activation (MIA) impairs neonatal lung ILC2 establishment, function, and airway hyperresponsiveness. The Journal of Immunology. 208(Supplement_1). 47.16–47.16.
7.
López, Diego A., et al.. (2021). Endovascular resolution of giant popliteal pseudoaneurysm. Angiología.
8.
Busoni, Valéria, et al.. (2010). Evaluation of a protocol for fast localised abdominal sonography of horses (FLASH) admitted for colic. The Veterinary Journal. 188(1). 77–82. 67 indexed citations
9.
Busoni, Valéria, et al.. (2006). Preliminary evaluation of a protocol for fast localized abdominal sonography in horses (FLASH) admitted for colic. Open Repository and Bibliography (University of Liège). 1 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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