Luca Fumis

3.4k citations
4 papers · 507 indexed · 2 hit papers · h-index 2
Topics
Bioinformatics and Genomic Networks (3 papers)Computational Drug Discovery Methods (2 papers)Protein Degradation and Inhibitors (1 paper)

In The Last Decade

Luca Fumis

2 papers receiving 499 citations

Hit Papers

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

Peers

Luca Fumis
Comparison fields: 5 of 84
  • Molecular Biology 302
  • Genetics 184
  • Immunology 73
  • Computational Theory and Mathematics 62
  • Physiology 45
Replace Alfredo Miranda with:
Alfredo Miranda United Kingdom
Miguel Carmona United Kingdom
Gareth Peat United Kingdom
Zenia M. Størling Denmark
Sandesh Chopade United Kingdom
Emily A. King United States
Angela Raymond Canada
Angie T. Oler United States
Sharon L. Freshour United States
Jonathan J Song United States
Luca Fumis relative to Alfredo Miranda United Kingdom Alfredo Miranda's profile →
Citations per field
00.5×1.5×
Alfredo Miranda · 1×
Citations per year

Countries citing papers authored by Luca Fumis

Since Specialization
Citations

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

Fields of papers citing papers by Luca Fumis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luca Fumis

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

All Works

4 of 4 papers shown
#WorkIndexed citations
1 0
2
An open approach to systematically prioritize causal variants and genes at all published human GWAS trait-associated locibreakdown →
223
3
Open Targets Platform: new developments and updates two years onbreakdown →
284
4 0

About Luca Fumis

Luca Fumis is a scholar working on Biophysics, Computational Theory and Mathematics and Molecular Biology, having authored 4 papers that have together received 507 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (3 papers), Computational Drug Discovery Methods (2 papers) and Protein Degradation and Inhibitors (1 paper). The work is most often cited by research in Genetics (184 citations), Molecular Biology (302 citations) and Computational Theory and Mathematics (62 citations). Luca Fumis has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include Ian Dunham, Gareth Peat, Alfredo Miranda, Eliseo Papa, Jeffrey C. Barrett, Miguel Carmona, Andrea Pierleoni, David G. Hulcoop, Gautier Koscielny and Denise Carvalho‐Silva. Their work appears in journals such as Nucleic Acids Research, Nature Genetics and Bioinformatics.

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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