Erik Abner

1.6k citations
17 papers · 544 · h-index 12

Impact in

  • Virology top 5%
    • HIV Research and Treatment
    • HIV/AIDS drug development and treatment
    • HIV/AIDS Research and Interventions

Papers in

Erik Abner

15 papers receiving 539 citations

Peers

Erik Abner
Comparison fields: 5 of 67
  • Virology 148
  • Infectious Diseases 96
  • Epidemiology 134
  • Biological Psychiatry 7
  • Immunology 58
Replace Cristina Purificato with:
Cristina Purificato Italy
Aidan S. Hancock United States
Sorour Khateri Iran
Lauren Peter United States
Noelle A. Hutchins United States
Yunjuan Zhao China
Helena B. Pasieka United States
Glenn Oliveira United States
Tabinda Hussain Australia
Erik Abner relative to Cristina Purificato Italy Cristina Purificato's profile →
Citations per field
00.5×5×10×12.8×
Cristina Purificato · 1×
Citations per year

Countries citing papers authored by Erik Abner

Since Specialization
Citations

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

Fields of papers citing papers by Erik Abner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2019131
2 2021128
3 202354
4 201844
5 202335
6 202133
7 202226
8 202326
9 201919
10 202215
11 202213
12 202212
13 20166
14 20211
15 20241
16 20210
17 20250

About Erik Abner

Erik Abner is a scholar working on Epidemiology, Molecular Biology, Cardiology and Cardiovascular Medicine, Infectious Diseases and Virology, having authored 17 papers that have together received 544 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (5 papers), Lipid metabolism and disorders (4 papers), HIV/AIDS drug development and treatment (3 papers), HIV Research and Treatment (3 papers), Genetic Associations and Epidemiology (3 papers), Cancer-related molecular mechanisms research (3 papers), Alcohol Consumption and Health Effects (2 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Virology (148 citations), Infectious Diseases (96 citations), Epidemiology (134 citations), Biological Psychiatry (7 citations) and Immunology (58 citations). Erik Abner has collaborated with scholars based in Estonia, Canada and United States. Frequent co-authors include Albert Jordan, Tõnu Esko, Benoît J. Arsenault, Sébastien Thériault, Éloi Gagnon, Patrick Mathieu, Hasanga D. Manikpurage, Nele Taba, Nooshin Ghodsian and Émilie Gobeil. Their work appears in journals such as Nature Communications, Gastroenterology, Journal of Virology, Antiviral Research and Journal of Translational Medicine.

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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