Daniel Teixeira

807 citations
10 papers · 410 indexed · h-index 6
Topics
Advanced Proteomics Techniques and Applications (4 papers)Genomics and Rare Diseases (2 papers)Biomedical Text Mining and Ontologies (2 papers)

In The Last Decade

Daniel Teixeira

8 papers receiving 407 citations

Peers

Daniel Teixeira
Comparison fields: 5 of 72
  • Molecular Biology 320
  • Spectroscopy 158
  • Genetics 41
  • Oncology 33
  • Computational Theory and Mathematics 20
Replace Pierre-André Michel with:
Pierre-André Michel Switzerland
Frédéric Nikitin Switzerland
Valentine Rech de Laval Switzerland
William Broomall United States
Marvin Thielert Germany
Maja Gehre Germany
Moritz Heusel Switzerland
Indy Chabra United States
Kwan-Young Jung South Korea
Nadia Taouatas Netherlands
Daniel Teixeira relative to Pierre-André Michel Switzerland Pierre-André Michel's profile →
Citations per field
00.5×1.5×
Pierre-André Michel · 1×
Citations per year

Countries citing papers authored by Daniel Teixeira

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Teixeira

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Teixeira

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

All Works

10 of 10 papers shown
#WorkIndexed citations
1 0
2 12
3 140
4 8
5 4
6 52
7 122
8 68
9 3
10
An ontology-mapping service for agent-based automated negotiation
1

About Daniel Teixeira

Daniel Teixeira is a scholar working on Applied Microbiology and Biotechnology, Spectroscopy and Clinical Biochemistry, having authored 10 papers that have together received 410 indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (4 papers), Genomics and Rare Diseases (2 papers) and Biomedical Text Mining and Ontologies (2 papers). The work is most often cited by research in Spectroscopy (158 citations), Molecular Biology (320 citations) and Genetics (41 citations). Daniel Teixeira has collaborated with scholars based in Switzerland, Portugal and Hungary. Frequent co-authors include Monique Zahn‐Zabal, Pierre-André Michel, Lydie Lane, Alain Gateau, Pascale Gaudet, Amos Bairoch, Paula Duek, Valentine Rech de Laval, Frédéric Nikitin and Isabelle Cusin. Their work appears in journals such as Nucleic Acids Research, Bioinformatics and Scientific Data.

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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