Juan Domínguez-Herrera

1.2k citations
22 papers · 958 indexed · h-index 16

Juan Domínguez-Herrera

22 papers receiving 946 citations

Peers

Juan Domínguez-Herrera
Comparison fields: 5 of 79
  • Molecular Medicine 749
  • Endocrinology 290
  • Molecular Biology 274
  • Pharmacology 271
  • Epidemiology 213
Replace Felipe Fernández-Cuenca with:
Felipe Fernández-Cuenca Spain
Mohamed Abd El-Gawad El-Sayed Ahmed Egypt
Ahmed Hamouda United Kingdom
C. Pichardo Spain
Floriana Gona Italy
Fatima M’Zali France
Antonio Cannatelli Italy
Christi L. McElheny United States
Masahiro Shimojima Japan
Santiago Hernández-Allés Spain
Juan Domínguez-Herrera relative to Felipe Fernández-Cuenca Spain Felipe Fernández-Cuenca's profile →
Citations per field
00.5×4.1×
Felipe Fernández-Cuenca · 1×
Citations per year

Countries citing papers authored by Juan Domínguez-Herrera

Since Specialization
Citations

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

Fields of papers citing papers by Juan Domínguez-Herrera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Juan Domínguez-Herrera. 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 Juan Domínguez-Herrera. The network helps show where Juan Domínguez-Herrera may publish in the future.

Co-authorship network of co-authors of Juan Domínguez-Herrera

This figure shows the co-authorship network connecting the top 25 collaborators of Juan Domínguez-Herrera. A scholar is included among the top collaborators of Juan Domínguez-Herrera 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 Juan Domínguez-Herrera. Juan Domínguez-Herrera 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 4
2 4
3 10
4 39
5 107
6 15
7 27
8 52
9 17
10 77
11 51
12 24
13 25
14 43
15 24
16 10
17 114
18 52
19 115
20 11

About Juan Domínguez-Herrera

Juan Domínguez-Herrera is a scholar working on Molecular Medicine, Endocrinology and Pharmacology, having authored 22 papers that have together received 958 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (18 papers), Antibiotics Pharmacokinetics and Efficacy (10 papers) and Pneumonia and Respiratory Infections (5 papers). The work is most often cited by research in Molecular Medicine (749 citations), Endocrinology (290 citations) and Applied Microbiology and Biotechnology (82 citations). Juan Domínguez-Herrera has collaborated with scholars based in Spain, United States and France. Frequent co-authors include Jerónimo Pachón, Younes Smani, Rafael López-Rojas, Fernando Docobo-Pérez, Michael J. McConnell, Jiménez-Mejías Me, C. Pichardo, Álvaro Pascual, María Fernández‐Reyes and Luís Rivas. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Infectious Diseases and Antimicrobial Agents and Chemotherapy.

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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