Inmaculada Calvo

141 total papers · 3.5k total citations
59 papers, 890 citations indexed

About

Inmaculada Calvo is a scholar working on Hematology, Public Health, Environmental and Occupational Health and Pharmacology. According to data from OpenAlex, Inmaculada Calvo has authored 59 papers receiving a total of 890 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Hematology, 17 papers in Public Health, Environmental and Occupational Health and 14 papers in Pharmacology. Recurrent topics in Inmaculada Calvo's work include Autoimmune and Inflammatory Disorders Research (20 papers), Musculoskeletal pain and rehabilitation (14 papers) and Occupational Health and Performance (13 papers). Inmaculada Calvo is often cited by papers focused on Autoimmune and Inflammatory Disorders Research (20 papers), Musculoskeletal pain and rehabilitation (14 papers) and Occupational Health and Performance (13 papers). Inmaculada Calvo collaborates with scholars based in Spain, United States and Italy. Inmaculada Calvo's co-authors include Antonia Gómez‐Conesa, Julio Sánchez‐Meca, Francisco M. Kovacs, Marta Roqué i Figuls, Jesús Seco‐Calvo, Jordi Antón, Beatriz Navarro Bravo, Alfredo Adán, Jaime de Inocencio Arocena and José A López-López and has published in prestigious journals such as SHILAP Revista de lepidopterología, PEDIATRICS and Annals of the Rheumatic Diseases.

In The Last Decade

Inmaculada Calvo

52 papers receiving 858 citations

Author Peers

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

Author						Papers	Cites
Inmaculada Calvo	320	263	227	168	162	59	890
Rafael Merino-Marbán	102 0.3×	49 0.2×	179 0.8×	145 0.9×	154 1.0×	81	989
R. Sheridan	129 0.4×	62 0.2×	12 0.1×	181 1.1×	54 0.3×	48	907
M. Touzi	383 1.2×	169 0.6×	23 0.1×	119 0.7×	172 1.1×	48	816
Fábio Jennings	153 0.5×	94 0.4×	131 0.6×	29 0.2×	200 1.2×	33	856
Mehmet Tuncay Duruöz	210 0.7×	41 0.2×	172 0.8×	56 0.3×	421 2.6×	90	1.0k
André Barkhuizen	199 0.6×	24 0.1×	47 0.2×	31 0.2×	252 1.6×	26	950
Rob Arbuckle	62 0.2×	18 0.1×	12 0.1×	94 0.6×	80 0.5×	82	844
I. Béjia	386 1.2×	169 0.6×	25 0.1×	128 0.8×	189 1.2×	48	846
A Helewa	290 0.9×	72 0.3×	188 0.8×	43 0.3×	441 2.7×	26	955
Kristin Houghton	33 0.1×	23 0.1×	285 1.3×	87 0.5×	171 1.1×	45	816

Countries citing papers authored by Inmaculada Calvo

Since Specialization

Citations

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

Fields of papers citing papers by Inmaculada Calvo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Inmaculada Calvo

This figure shows the co-authorship network connecting the top 25 collaborators of Inmaculada Calvo. A scholar is included among the top collaborators of Inmaculada Calvo 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 Inmaculada Calvo. Inmaculada Calvo 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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