Luis Garegnani

69 total papers · 923 total citations
48 papers, 526 citations indexed

About

Luis Garegnani is a scholar working on Pulmonary and Respiratory Medicine, Neurology and Statistics, Probability and Uncertainty. According to data from OpenAlex, Luis Garegnani has authored 48 papers receiving a total of 526 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Pulmonary and Respiratory Medicine, 8 papers in Neurology and 8 papers in Statistics, Probability and Uncertainty. Recurrent topics in Luis Garegnani's work include Meta-analysis and systematic reviews (8 papers), Respiratory Support and Mechanisms (7 papers) and Health Systems, Economic Evaluations, Quality of Life (6 papers). Luis Garegnani is often cited by papers focused on Meta-analysis and systematic reviews (8 papers), Respiratory Support and Mechanisms (7 papers) and Health Systems, Economic Evaluations, Quality of Life (6 papers). Luis Garegnani collaborates with scholars based in Argentina, Chile and Germany. Luis Garegnani's co-authors include Juan Víctor Ariel Franco, Camila Micaela Escobar Liquitay, Nicolás Meza, Eva Madrid, Ignacio Esteban, Michael S. Borofsky, Philipp Dahm, Jae Hung Jung, Muhammad Imran Omar and Areti Angeliki Veroniki and has published in prestigious journals such as SHILAP Revista de lepidopterología, Cochrane Database of Systematic Reviews and International Journal of Environmental Research and Public Health.

In The Last Decade

Luis Garegnani

42 papers receiving 511 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Luis Garegnani	156	131	103	73	68	48	526
Kelly Fleetwood	84 0.5×	157 1.2×	57 0.6×	38 0.5×	80 1.2×	37	592
Rhiannon K Owen	41 0.3×	100 0.8×	57 0.6×	31 0.4×	66 1.0×	32	542
H. Claes	115 0.7×	32 0.2×	137 1.3×	34 0.5×	79 1.2×	32	476
Juliette Meunier	50 0.3×	77 0.6×	43 0.4×	38 0.5×	47 0.7×	33	555
António Gomes da Costa	104 0.7×	56 0.4×	67 0.7×	30 0.4×	52 0.8×	50	485
John R. Fliegner	45 0.3×	105 0.8×	51 0.5×	34 0.5×	66 1.0×	41	555
Katsumi Inoue	106 0.7×	172 1.3×	191 1.9×	20 0.3×	217 3.2×	34	588
H. Schneider	73 0.5×	58 0.4×	73 0.7×	14 0.2×	59 0.9×	55	470
Fang‐Wen Hu	39 0.3×	145 1.1×	24 0.2×	199 2.7×	39 0.6×	49	593
Rakesh Mondal	104 0.7×	91 0.7×	17 0.2×	93 1.3×	71 1.0×	89	547

Countries citing papers authored by Luis Garegnani

Since Specialization

Citations

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

Fields of papers citing papers by Luis Garegnani

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luis Garegnani

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

All Works

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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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