Eliseo Papa

3.8k citations
14 papers · 1.1k indexed · 2 hit papers · h-index 11
Topics
Bioinformatics and Genomic Networks (6 papers)Computational Drug Discovery Methods (5 papers)Advanced Biosensing Techniques and Applications (3 papers)

In The Last Decade

Eliseo Papa

14 papers receiving 1.1k citations

Hit Papers

Open Targets Platform: new developments and updates two y...20182026202020232018202150100150200250

Peers

Eliseo Papa
Comparison fields: 5 of 126
  • Molecular Biology 714
  • Genetics 272
  • Biomedical Engineering 150
  • Immunology 137
  • Epidemiology 117
Replace Kabir H. Biswas with:
Kabir H. Biswas Qatar
David Andrews United Kingdom
Hashem Koohy United Kingdom
Giusy Della Gatta Italy
Véronique Bataille United Kingdom
Xiang Wu China
Alexey A. Belogurov Russia
Mandar Deshpande India
Lisa Berglund Sweden
Steve Hobbs United Kingdom
Eliseo Papa relative to Kabir H. Biswas Qatar Kabir H. Biswas's profile →
Citations per field
00.5×2.9×
Kabir H. Biswas · 1×
Citations per year

Countries citing papers authored by Eliseo Papa

Since Specialization
Citations

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

Fields of papers citing papers by Eliseo Papa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eliseo Papa

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

All Works

14 of 14 papers shown
#WorkIndexed citations
1 9
2 48
3 12
4
An open approach to systematically prioritize causal variants and genes at all published human GWAS trait-associated locibreakdown →
223
5 2
6
Open Targets Platform: new developments and updates two years onbreakdown →
284
7 11
8 214
9 14
10 30
11 128
12 10
13 60
14 73

About Eliseo Papa

Eliseo Papa is a scholar working on Computational Theory and Mathematics, Molecular Biology and Immunology and Allergy, having authored 14 papers that have together received 1.1k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (6 papers), Computational Drug Discovery Methods (5 papers) and Advanced Biosensing Techniques and Applications (3 papers). The work is most often cited by research in Molecular Biology (714 citations), Genetics (272 citations) and Gastroenterology (38 citations). Eliseo Papa has collaborated with scholars based in United States, United Kingdom and Sweden. Frequent co-authors include J. Christopher Love, Craig M. Story, Gareth Peat, Jeffrey C. Barrett, Miguel Carmona, Ian Dunham, Alfredo Miranda, Luca Fumis, Eduardo Guillén and Adebola O. Ogunniyi. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research 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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