Alejandro Bernal

644 citations
12 papers · 533 · h-index 8

Impact in

  • Genetics top 10%
    • Chronic Lymphocytic Leukemia Research
  • Aging top 10%

Papers in

    • Ubiquitin and proteasome pathways 2
    • Viral Infectious Diseases and Gene Expression in Insects 1
    • Glycosylation and Glycoproteins Research 1
    • Peptidase Inhibition and Analysis 2

Alejandro Bernal

12 papers receiving 507 citations

Peers

Alejandro Bernal
Comparison fields: 5 of 60
  • Genetics 125
  • Aging 22
  • Immunology 150
  • Pathology and Forensic Medicine 71
  • Molecular Biology 288
Replace Bianca V. Gapp with:
Bianca V. Gapp Austria
Gonzalo R. Ordóñez Spain
Phillip A. Doerfler United States
Diana Ronai United States
Lili Sun China
Olga V. Iarovaia Russia
Xinjun Ji United States
Irmgard Hofmann Switzerland
Matthew A. Coelho United Kingdom
Qianhe Zhou United States
Alejandro Bernal relative to Bianca V. Gapp Austria Bianca V. Gapp's profile →
Citations per field
00.5×4.3×
Bianca V. Gapp · 1×
Citations per year

Countries citing papers authored by Alejandro Bernal

Since Specialization
Citations

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

Fields of papers citing papers by Alejandro Bernal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2001157
2 2000126
3 2008118
4 199941
5 200425
6 200524
7 201213
8 201110
9 20047
10 20126
11 20015
12
Aspectos farmacogenéticos en el tratamiento del cáncer de mama con tamoxifeno
20081

About Alejandro Bernal

Alejandro Bernal is a scholar working on Molecular Biology, Oncology, Radiology, Nuclear Medicine and Imaging, Immunology and Genetics, having authored 12 papers that have together received 533 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (2 papers), MRI in cancer diagnosis (2 papers), Peptidase Inhibition and Analysis (2 papers), Medical Imaging Techniques and Applications (2 papers), Digital Radiography and Breast Imaging (1 paper), Viral Infectious Diseases and Gene Expression in Insects (1 paper), Glycosylation and Glycoproteins Research (1 paper) and Streptococcal Infections and Treatments (1 paper). The work is most often cited by research in Genetics (125 citations), Aging (22 citations), Immunology (150 citations), Pathology and Forensic Medicine (71 citations) and Molecular Biology (288 citations). Alejandro Bernal has collaborated with scholars based in United States, Spain and New Zealand. Frequent co-authors include Deborah A. Kimbrell, Shannon A. Keller, Raymond D. Pastore, Elaine J. Schattner, Hsiou‐Chi Liou, Ethel Cesarman, Tauseef R. Butt, Michael R. Mattern, David E. Sterner and Benjamin Nicholson. Their work appears in journals such as Analytical Biochemistry, Blood, SLAS DISCOVERY, Pharmacogenomics and Journal of Oncology.

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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