Marta Teijeira

1.5k citations
69 papers · 1.2k indexed · h-index 18
Topics
HIV/AIDS drug development and treatment (17 papers)Computational Drug Discovery Methods (14 papers)Biochemical and Molecular Research (12 papers)
Partner nations
SpainCubaBelgium

In The Last Decade

Marta Teijeira

67 papers receiving 1.2k citations

Peers

Marta Teijeira
Comparison fields: 5 of 105
  • Organic Chemistry 542
  • Molecular Biology 497
  • Computational Theory and Mathematics 438
  • Pharmacology 124
  • Catalysis 109
Replace Generosa Gómez with:
Generosa Gómez Spain
Fereshteh Shiri Iran
Vijay M. Khedkar India
L. M. Viranga Tillekeratne United States
Gianni Podda Italy
Vagolu Siva Krishna India
Pratibha Sharma India
Mirjana Popsavin Serbia
Nabin C. Barua India
Mohemmed Faraz Khan India
Marta Teijeira relative to Generosa Gómez Spain Generosa Gómez's profile →
Citations per field
00.5×3.6×
Generosa Gómez · 1×
Citations per year

Countries citing papers authored by Marta Teijeira

Since Specialization
Citations

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

Fields of papers citing papers by Marta Teijeira

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marta Teijeira

This figure shows the co-authorship network connecting the top 25 collaborators of Marta Teijeira. A scholar is included among the top collaborators of Marta Teijeira 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 Marta Teijeira. Marta Teijeira 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 2
2 3
3 4
4 7
5 36
6 36
7 10
8 3
9 5
10 8
11 42
12 12
13 4
14 14
15 17
16 14
17 22
18 22
19 7
20 40

About Marta Teijeira

Marta Teijeira is a scholar working on Physiology, Organic Chemistry and Infectious Diseases, having authored 69 papers that have together received 1.2k indexed citations. Recurring topics across this work include HIV/AIDS drug development and treatment (17 papers), Computational Drug Discovery Methods (14 papers) and Biochemical and Molecular Research (12 papers). The work is most often cited by research in Computational Theory and Mathematics (438 citations), Organic Chemistry (542 citations) and Catalysis (109 citations). Marta Teijeira has collaborated with scholars based in Spain, Cuba and Belgium. Frequent co-authors include Carmen Terán, Maykel Pérez González, Eugenio Uriarte, Lourdes Santana, Liane Saı́z-Urra, Erik De Clercq, Ernesto Estrada, Alina Montero, Yagamare Fall and Emília Tojo. Their work appears in journals such as Journal of Medicinal Chemistry, Green Chemistry and The Journal of Organic Chemistry.

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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