Salvatore Loguercio

1.0k citations
30 papers · 677 indexed · h-index 15
Topics
Biomedical Text Mining and Ontologies (6 papers)Bioinformatics and Genomic Networks (5 papers)Gene expression and cancer classification (5 papers)

In The Last Decade

Salvatore Loguercio

29 papers receiving 671 citations

Peers

Salvatore Loguercio
Comparison fields: 5 of 103
  • Molecular Biology 393
  • Immunology 170
  • Genetics 124
  • Cancer Research 54
  • Pulmonary and Respiratory Medicine 51
Replace Sumir Panji with:
Sumir Panji South Africa
Gregory R. Smith United States
Helena G. Dos Santos Portugal
Monique Zahn‐Zabal Switzerland
Cath Brooksbank United Kingdom
Patricia Rodriguez‐Tomé United Kingdom
Öznur Taştan Türkiye
Carol J. Burger United States
Simon Brown United Kingdom
Salvatore Loguercio relative to Sumir Panji South Africa Sumir Panji's profile →
Citations per field
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Citations per year

Countries citing papers authored by Salvatore Loguercio

Since Specialization
Citations

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

Fields of papers citing papers by Salvatore Loguercio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Salvatore Loguercio

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 6
2 1
3 3
4 9
5 18
6 20
7 13
8 28
9 20
10 23
11 44
12 27
13 10
14 18
15 24
16 10
17 8
18 91
19 11
20 38

About Salvatore Loguercio

Salvatore Loguercio is a scholar working on Health Informatics, Health Information Management and Molecular Biology, having authored 30 papers that have together received 677 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (6 papers), Bioinformatics and Genomic Networks (5 papers) and Gene expression and cancer classification (5 papers). The work is most often cited by research in Immunology (170 citations), Molecular Biology (393 citations) and Genetics (124 citations). Salvatore Loguercio has collaborated with scholars based in United States, Germany and Italy. Frequent co-authors include Andrew I. Su, Andreas Beyer, Ann J. Feeney, Jacob J. Michaelson, Eden Kleiman, Benjamin M. Good, William E. Balch, Haiqun Jia, Darren M. Hutt and Jiyoti Verma‐Gaur. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

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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