M.Á. Domínguez

151 papers receiving 5.1k citations

Peers

M.Á. Domínguez
Comparison fields: 5 of 124
  • Molecular Medicine 2.4k
  • Applied Microbiology and Biotechnology 502
  • Endocrinology 699
  • Clinical Biochemistry 809
  • Infectious Diseases 1.4k
Replace Cheol‐In Kang with:
Cheol‐In Kang South Korea
Daniel B. Gregson Canada
Joseph W. Chow United States
Carmen Peña Spain
Fé Tubau Spain
Javier Ariza Spain
Arti Kapil India
David P. Calfee United States
Wang‐Huei Sheng Taiwan
Mario Tumbarello Italy
M.Á. Domínguez relative to Cheol‐In Kang South Korea Cheol‐In Kang's profile →
Citations per field
00.5×1.5×
Cheol‐In Kang · 1×
Citations per year

Countries citing papers authored by M.Á. Domínguez

Since Specialization
Citations

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

Fields of papers citing papers by M.Á. Domínguez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.Á. Domínguez. 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 M.Á. Domínguez. The network helps show where M.Á. Domínguez may publish in the future.

Co-authors

The 25 scholars most cited alongside M.Á. Domínguez, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with M.Á. Domínguez Line = papers co-authored together M.Á. Domínguez links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 153 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000295
2 1996231
3 2000208
4 2012184
5 1994163
6 2015162
7 2008155
8 1996138
9 1992138
10 2017125
11 2000112
12 2013110
13 2018101
14 2012100
15 201197
16 201693
17 199887
18 200682
19 201078
20 199678

About M.Á. Domínguez

M.Á. Domínguez is a scholar working on Infectious Diseases, Epidemiology, Molecular Medicine, Clinical Biochemistry and Molecular Biology, having authored 153 papers that have together received 5.3k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (44 papers), Antimicrobial Resistance in Staphylococcus (41 papers), Bacterial Identification and Susceptibility Testing (25 papers), Pneumonia and Respiratory Infections (19 papers), Bacterial biofilms and quorum sensing (17 papers), Infective Endocarditis Diagnosis and Management (14 papers), Streptococcal Infections and Treatments (13 papers) and Antibiotics Pharmacokinetics and Efficacy (9 papers). The work is most often cited by research in Molecular Medicine (2.4k citations), Applied Microbiology and Biotechnology (502 citations), Endocrinology (699 citations), Clinical Biochemistry (809 citations) and Infectious Diseases (1.4k citations). M.Á. Domínguez has collaborated with scholars based in Spain, United States and Portugal. Frequent co-authors include Fé Tubau, Miquel Pujol, Javier Ariza, Josefina Liñares, Carmen Peña, Josefina Ayats, Francesc Gudiol, Carmen Ardanuy, Román Pallarés and Germán Bou. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, Clinical Microbiology and Infection, Journal of Antimicrobial Chemotherapy, Journal of Hospital Infection and Journal of Clinical Microbiology.

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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