Maria‐Anna Trapotsi

538 citations
11 papers · 223 indexed · h-index 8
Topics
Computational Drug Discovery Methods (6 papers)Cell Image Analysis Techniques (6 papers)Viral Infectious Diseases and Gene Expression in Insects (2 papers)

In The Last Decade

Maria‐Anna Trapotsi

10 papers receiving 221 citations

Peers

Maria‐Anna Trapotsi
Comparison fields: 5 of 59
  • Molecular Biology 133
  • Computational Theory and Mathematics 97
  • Biophysics 85
  • Media Technology 26
  • Plant Science 22
Replace Srijit Seal with:
Srijit Seal United Kingdom
Clinton Willis United States
Ryan Lougee United States
Julian Wilke Germany
Bruce K. Hua United States
Scott Warchal United Kingdom
Rabindra V. Shivnaraine United States
Gabriel Idakwo United States
Alexander Fekete United States
Sarah Mubeen Germany
Maria‐Anna Trapotsi relative to Srijit Seal United Kingdom Srijit Seal's profile →
Citations per field
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Srijit Seal · 1×
Citations per year

Countries citing papers authored by Maria‐Anna Trapotsi

Since Specialization
Citations

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

Fields of papers citing papers by Maria‐Anna Trapotsi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maria‐Anna Trapotsi. 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 Maria‐Anna Trapotsi. The network helps show where Maria‐Anna Trapotsi may publish in the future.

Co-authorship network of co-authors of Maria‐Anna Trapotsi

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

All Works

11 of 11 papers shown
#WorkIndexed citations
1 0
2 18
3 5
4 19
5 22
6 4
7 25
8 53
9 14
10 25
11 38

About Maria‐Anna Trapotsi

Maria‐Anna Trapotsi is a scholar working on Biophysics, Computational Theory and Mathematics and Complementary and alternative medicine, having authored 11 papers that have together received 223 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (6 papers), Cell Image Analysis Techniques (6 papers) and Viral Infectious Diseases and Gene Expression in Insects (2 papers). The work is most often cited by research in Biophysics (85 citations), Computational Theory and Mathematics (97 citations) and Media Technology (26 citations). Maria‐Anna Trapotsi has collaborated with scholars based in United Kingdom, Sweden and Australia. Frequent co-authors include Andreas Bender, Jordi Carreras‐Puigvert, Ola Spjuth, Srijit Seal, Hongbin Yang, Ian P. Barrett, Ola Engkvist, Lewis Mervin, Avid M. Afzal and Azad Alizada. Their work appears in journals such as Nature Communications, Nature Methods and Frontiers in Pharmacology.

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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