Gianluca Boo

878 total citations
17 papers, 474 citations indexed

About

Gianluca Boo is a scholar working on Pulmonary and Respiratory Medicine, Epidemiology and Global and Planetary Change. According to data from OpenAlex, Gianluca Boo has authored 17 papers receiving a total of 474 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Pulmonary and Respiratory Medicine, 5 papers in Epidemiology and 5 papers in Global and Planetary Change. Recurrent topics in Gianluca Boo's work include Veterinary Oncology Research (7 papers), Impact of Light on Environment and Health (5 papers) and Data-Driven Disease Surveillance (5 papers). Gianluca Boo is often cited by papers focused on Veterinary Oncology Research (7 papers), Impact of Light on Environment and Health (5 papers) and Data-Driven Disease Surveillance (5 papers). Gianluca Boo collaborates with scholars based in Switzerland, United States and United Kingdom. Gianluca Boo's co-authors include Sara Irina Fabrikant, A. Pospischil, M. Hässig, Kay W. Axhausen, Franco Guscetti, Gerd Folkers, Ricarda Graf, Monika Welle, D. Meier and Stefan Leyk and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Gianluca Boo

17 papers receiving 461 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gianluca Boo Switzerland 9 191 112 100 87 57 17 474
Stefan M. Keller United States 16 303 1.6× 174 1.6× 31 0.3× 178 2.0× 107 1.9× 48 787
Richard E. Weller United States 13 181 0.9× 70 0.6× 43 0.4× 110 1.3× 25 0.4× 64 514
I. Mikaelian Canada 13 104 0.5× 40 0.4× 21 0.2× 61 0.7× 39 0.7× 32 535
Paula M. Krimer United States 10 116 0.6× 102 0.9× 18 0.2× 28 0.3× 35 0.6× 26 376
James A. Perry United States 9 133 0.7× 51 0.5× 19 0.2× 50 0.6× 32 0.6× 20 450
Gerald Post United States 18 648 3.4× 272 2.4× 21 0.2× 226 2.6× 127 2.2× 41 943
Eva Jakob Germany 18 72 0.4× 18 0.2× 58 0.6× 24 0.3× 51 0.9× 33 861
Renato Farina Italy 17 96 0.5× 53 0.5× 27 0.3× 44 0.5× 234 4.1× 77 897
Ulf Hjalmars Sweden 11 39 0.2× 8 0.1× 29 0.3× 29 0.3× 18 0.3× 15 548
Angus Macdonald United Kingdom 13 64 0.3× 15 0.1× 132 1.3× 22 0.3× 55 1.0× 30 797

Countries citing papers authored by Gianluca Boo

Since Specialization
Citations

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

Fields of papers citing papers by Gianluca Boo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gianluca Boo

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

All Works

17 of 17 papers shown
1.
Boo, Gianluca, Douglas R. Leasure, Claire Dooley, et al.. (2022). High-resolution population estimation using household survey data and building footprints. Nature Communications. 13(1). 1330–1330. 47 indexed citations
2.
Boo, Gianluca, Peter M. Macharia, Paul Ouma, et al.. (2022). Differences between gridded population data impact measures of geographic access to healthcare in sub-Saharan Africa. SHILAP Revista de lepidopterología. 2(1). 117–117. 31 indexed citations
3.
Boo, Gianluca, et al.. (2022). La population vue du ciel : quand l’imagerie satellite vient au secours du recensement. Population. Vol. 77(3). 467–494. 8 indexed citations
4.
Boo, Gianluca, Maksym Bondarenko, Beat Müllhaupt, et al.. (2021). Association between environmental and climatic risk factors and the spatial distribution of cystic and alveolar echinococcosis in Kyrgyzstan. PLoS neglected tropical diseases. 15(6). e0009498–e0009498. 8 indexed citations
5.
Thomson, Dana R., Monika Kuffer, Gianluca Boo, et al.. (2020). Need for an Integrated Deprived Area “Slum” Mapping System (IDEAMAPS) in Low- and Middle-Income Countries (LMICs). Social Sciences. 9(5). 80–80. 46 indexed citations
6.
Boo, Gianluca, et al.. (2020). Epidemic cystic and alveolar echinococcosis in Kyrgyzstan: an analysis of national surveillance data. The Lancet Global Health. 8(4). e603–e611. 42 indexed citations
7.
Kuffer, Monika, Dana R. Thomson, Gianluca Boo, et al.. (2020). The Role of Earth Observation in an Integrated Deprived Area Mapping “System” for Low-to-Middle Income Countries. Remote Sensing. 12(6). 982–982. 45 indexed citations
8.
Boo, Gianluca, et al.. (2019). Exploring Uncertainty in Canine Cancer Data Sources Through Dasymetric Refinement. Frontiers in Veterinary Science. 6. 45–45. 6 indexed citations
9.
Thomson, Dana R., Monika Kuffer, Gianluca Boo, et al.. (2019). Critical Commentary: Need for an Integrated Deprived Area “Slum” Mapping System (IDeAMapS) in LMICs. Preprints.org. 3 indexed citations
10.
Boo, Gianluca, et al.. (2018). The importance of regional models in assessing canine cancer incidences in Switzerland. PLoS ONE. 13(4). e0195970–e0195970. 6 indexed citations
11.
Boo, Gianluca, et al.. (2017). Assessing effects of structural zeros on models of canine cancer incidence: a case study of the Swiss Canine Cancer Registry. Geospatial health. 12(1). 539–539. 3 indexed citations
12.
Graf, Ricarda, Gianluca Boo, Franco Guscetti, et al.. (2016). Swiss Canine Cancer Registry 1955–2008: Occurrence of the Most Common Tumour Diagnoses and Influence of Age, Breed, Body Size, Sex and Neutering Status on Tumour Development. Journal of Comparative Pathology. 155(2-3). 156–170. 91 indexed citations
13.
Graf, Ricarda, Gianluca Boo, M. Hässig, et al.. (2016). Swiss Feline Cancer Registry 1965–2008: the Influence of Sex, Breed and Age on Tumour Types and Tumour Locations. Journal of Comparative Pathology. 154(2-3). 195–210. 47 indexed citations
14.
Boo, Gianluca, et al.. (2016). A Regional Approach for Modeling Dog Cancer Incidences with Regard to Different Reporting Practices. Zurich Open Repository and Archive (University of Zurich). 1. 2 indexed citations
15.
Boo, Gianluca, et al.. (2016). “The Ridge Went North”: Did the Observer Go as Well? Corpus-driven Investigation of Fictive Motion. Zurich Open Repository and Archive (University of Zurich). 1. 2 indexed citations
16.
Boo, Gianluca, Sara Irina Fabrikant, & Stefan Leyk. (2015). A NOVEL APPROACH TO VETERINARY SPATIAL EPIDEMIOLOGY: DASYMETRIC REFINEMENT OF THE SWISS DOG TUMOR REGISTRY DATA. SHILAP Revista de lepidopterología. II-3/W5. 263–269. 6 indexed citations
17.
Graf, Ricarda, M. Hässig, Monika Welle, et al.. (2015). The Swiss Canine Cancer Registry: A Retrospective Study on the Occurrence of Tumours in Dogs in Switzerland from 1955 to 2008. Journal of Comparative Pathology. 152(2-3). 161–171. 81 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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