Javier Ena

2.8k citations
102 papers · 1.8k · h-index 24

Impact in

Papers in

Javier Ena

92 papers receiving 1.6k citations

Peers

Javier Ena
Comparison fields: 5 of 109
  • Applied Microbiology and Biotechnology 63
  • Infectious Diseases 589
  • Molecular Medicine 144
  • Clinical Biochemistry 162
  • Emergency Medical Services 115
Replace Patchen Dellinger with:
Patchen Dellinger United States
David N. Williams United States
John Segreti United States
E. J. C. Goldstein United States
Luigia Elzi Switzerland
Nimish Patel United States
Almudena Burillo Spain
Elisa Cordero Spain
Christian Ruef Switzerland
Walter C. Hellinger United States
Javier Ena relative to Patchen Dellinger United States Patchen Dellinger's profile →
Citations per field
00.5×3.7×
Patchen Dellinger · 1×
Citations per year

Countries citing papers authored by Javier Ena

Since Specialization
Citations

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

Fields of papers citing papers by Javier Ena

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Javier Ena, 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 Javier Ena Line = papers co-authored together Javier Ena links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 102 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993169
2 2005165
3 200698
4 199596
5 200682
6 199880
7 200576
8 200360
9 200345
10 199444
11 199241
12 200340
13 202139
14 201836
15 199434
16 199432
17 201829
18 199428
19 199426
20 200926

About Javier Ena

Javier Ena is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology, Infectious Diseases, Surgery and Molecular Biology, having authored 102 papers that have together received 1.8k indexed citations. Recurring topics across this work include Hyperglycemia and glycemic control in critically ill and hospitalized patients (11 papers), Diabetes Treatment and Management (9 papers), Diabetes Management and Research (8 papers), Metabolism, Diabetes, and Cancer (6 papers), Peripheral Artery Disease Management (6 papers), HIV/AIDS drug development and treatment (5 papers), Antibiotic Resistance in Bacteria (4 papers) and Antimicrobial Resistance in Staphylococcus (4 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (63 citations), Infectious Diseases (589 citations), Molecular Medicine (144 citations), Clinical Biochemistry (162 citations) and Emergency Medical Services (115 citations). Javier Ena has collaborated with scholars based in Spain, United States and Chile. Frequent co-authors include V. Valls, Concha Amador, Francisco Pasquau, Ricardo Gómez‐Huelgas, Emilia Cercenado, Emilio Bouza, Victoria Ortiz de la Tabla, Calvin M. Kunin, Francisco J. Arjona and Juana Carretero‐Gómez. Their work appears in journals such as Infection Control and Hospital Epidemiology, European Journal of Internal Medicine, Clinical Infectious Diseases, Diabetes Research and Clinical Practice and Diagnostic Microbiology and Infectious Disease.

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.

Explore authors with similar magnitude of impact