David Martínez-Enguita

684 citations
7 papers · 296 indexed · h-index 4
Topics
Genetic Associations and Epidemiology (3 papers)Bioinformatics and Genomic Networks (3 papers)Mycobacterium research and diagnosis (3 papers)
Partner nations
SwedenPeruKenya

In The Last Decade

David Martínez-Enguita

7 papers receiving 287 citations

Peers

David Martínez-Enguita
Comparison fields: 5 of 107
  • Industrial and Manufacturing Engineering 90
  • Biomedical Engineering 78
  • Molecular Biology 60
  • Health Informatics 50
  • Artificial Intelligence 29
Replace Margaretha Stenmarker with:
Margaretha Stenmarker Sweden
Samuel Schäfer Sweden
Sandra Lilja Sweden
Danuta R. Gawel Sweden
Jinwei Liu United States
Mark McConnell United States
Brian Helba United States
Mona Malekzadeh Iran
Deborah Fazzini Italy
Seyed Abolghasem Mirroshandel Iran
David Martínez-Enguita relative to Margaretha Stenmarker Sweden Margaretha Stenmarker's profile →
Citations per field
00.5×1.5×
Margaretha Stenmarker · 1×
Citations per year

Countries citing papers authored by David Martínez-Enguita

Since Specialization
Citations

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

Fields of papers citing papers by David Martínez-Enguita

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Martínez-Enguita. 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 David Martínez-Enguita. The network helps show where David Martínez-Enguita may publish in the future.

Co-authorship network of co-authors of David Martínez-Enguita

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

All Works

7 of 7 papers shown
#WorkIndexed citations
1 2
2 1
3 2
4 14
5 6
6 13
7 258

About David Martínez-Enguita

David Martínez-Enguita is a scholar working on Infectious Diseases, Genetics and Molecular Biology, having authored 7 papers that have together received 296 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (3 papers), Bioinformatics and Genomic Networks (3 papers) and Mycobacterium research and diagnosis (3 papers). The work is most often cited by research in Health Informatics (50 citations), Industrial and Manufacturing Engineering (90 citations) and Health Information Management (10 citations). David Martínez-Enguita has collaborated with scholars based in Sweden, Peru and Kenya. Frequent co-authors include Mika Gustafsson, Xinxiu Li, Margaretha Stenmarker, Sandra Lilja, Per Sandström, Huan Zhang, Samuel Schäfer, Thomas Gasslander, Oleg Sysoev and Xiao‐Feng Sun. Their work appears in journals such as Bioinformatics, Scientific Reports and The Journal of Infectious Diseases.

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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