Angela Serra

2.1k citations
55 papers · 1.1k indexed · 1 hit paper · h-index 21
Topics
Bioinformatics and Genomic Networks (25 papers)Gene expression and cancer classification (22 papers)Computational Drug Discovery Methods (15 papers)
Journals
SHILAP Revista de lepidopterologíaBioinformaticsNature Nanotechnology
Partner nations
FinlandItalySweden

In The Last Decade

Angela Serra

52 papers receiving 1.0k citations

Hit Papers

Advances in De Novo Drug Design: From Conventional to Mac...2021202620222024202150100150200

Peers

Angela Serra
Comparison fields: 5 of 128
  • Molecular Biology 550
  • Computational Theory and Mathematics 354
  • Materials Chemistry 192
  • Health, Toxicology and Mutagenesis 80
  • Pulmonary and Respiratory Medicine 78
Replace Stephen J. Capuzzi with:
Stephen J. Capuzzi United States
Sam Michael United States
Richard Marchese Robinson United Kingdom
Qifeng Bai China
James P. Sluka United States
Leihong Wu United States
Daniel P. Russo United States
Anju Sharma India
Matteo Floris Italy
Yoshinobu Igarashi Japan
Angela Serra relative to Stephen J. Capuzzi United States Stephen J. Capuzzi's profile →
Citations per field
00.5×2.5×
Stephen J. Capuzzi · 1×
Citations per year

Countries citing papers authored by Angela Serra

Since Specialization
Citations

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

Fields of papers citing papers by Angela Serra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Angela Serra

This figure shows the co-authorship network connecting the top 25 collaborators of Angela Serra. A scholar is included among the top collaborators of Angela Serra 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 Angela Serra. Angela Serra 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 1
2 1
3 0
4 0
5 5
6 4
7 22
8 4
9 13
10 1
11 5
12 7
13 14
14 2
15 17
16 9
17 21
18 33
19 45
20 7

About Angela Serra

Angela Serra is a scholar working on Computational Theory and Mathematics, Molecular Biology and Biological Psychiatry, having authored 55 papers that have together received 1.1k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (25 papers), Gene expression and cancer classification (22 papers) and Computational Drug Discovery Methods (15 papers). The work is most often cited by research in Computational Theory and Mathematics (354 citations), Molecular Biology (550 citations) and Biophysics (35 citations). Angela Serra has collaborated with scholars based in Finland, Italy and Sweden. Frequent co-authors include Dario Greco, Michele Fratello, Roberto Tagliaferri, Antreas Afantitis, Georgia Melagraki, Antonio Federico, Laura Aliisa Saarimäki, Iseult Lynch, Vittorio Fortino and Anastasios G. Papadiamantis. Their work appears in journals such as SHILAP Revista de lepidopterología, Bioinformatics and Nature Nanotechnology.

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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