Lorena Díaz

63 papers receiving 2.1k citations

Peers

Lorena Díaz
Comparison fields: 5 of 105
  • Molecular Medicine 659
  • Clinical Biochemistry 843
  • Infectious Diseases 1.4k
  • Applied Microbiology and Biotechnology 128
  • Endocrinology 159
Replace Diana Panesso with:
Diana Panesso Colombia
Jinnethe Reyes Colombia
Evgeny A. Idelevich Germany
Jennifer M Streit United States
Jiachang Cai China
Adriana E. Rosato United States
Ewa Sadowy Poland
James T. Rudrik United States
J Duval France
Matthias Willmann Germany
Lorena Díaz relative to Diana Panesso Colombia Diana Panesso's profile →
Citations per field
00.5×1.5×
Diana Panesso · 1×
Citations per year

Countries citing papers authored by Lorena Díaz

Since Specialization
Citations

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

Fields of papers citing papers by Lorena Díaz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011271
2 2013142
3 2012137
4 2009116
5 2014102
6 201294
7 201585
8 201282
9 201872
10 201072
11 201868
12 201753
13 201451
14 201348
15 201748
16 200746
17 201242
18 201940
19 202038
20 201936

About Lorena Díaz

Lorena Díaz is a scholar working on Infectious Diseases, Clinical Biochemistry, Molecular Medicine, Epidemiology and Molecular Biology, having authored 68 papers that have together received 2.1k indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (44 papers), Bacterial Identification and Susceptibility Testing (26 papers), Antibiotic Resistance in Bacteria (25 papers), Bacterial biofilms and quorum sensing (11 papers), Antibiotics Pharmacokinetics and Efficacy (11 papers), Pneumonia and Respiratory Infections (7 papers), Infective Endocarditis Diagnosis and Management (6 papers) and Streptococcal Infections and Treatments (5 papers). The work is most often cited by research in Molecular Medicine (659 citations), Clinical Biochemistry (843 citations), Infectious Diseases (1.4k citations), Applied Microbiology and Biotechnology (128 citations) and Endocrinology (159 citations). Lorena Díaz has collaborated with scholars based in Colombia, United States and Chile. Frequent co-authors include César A. Arias, Diana Panesso, Jinnethe Reyes, Barbara E. Murray, Truc T. Tran, José M. Munita, Sandra Rincón, George M. Weinstock, Yousif Shamoo and Rafael Ríos. Their work appears in journals such as Open Forum Infectious Diseases, Antimicrobial Agents and Chemotherapy, The Journal of Infectious Diseases, Clinical Infectious Diseases and Scientific Reports.

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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