Azra Lari

824 citations
11 papers · 516 · h-index 7

Impact in

    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies
    • Viral gastroenteritis research and epidemiology
    • SARS-CoV-2 detection and testing
    • Animal Virus Infections Studies

Papers in

    • RNA Research and Splicing 7
    • RNA modifications and cancer 4
    • Nuclear Structure and Function 4
    • SARS-CoV-2 and COVID-19 Research 2
    • Viral gastroenteritis research and epidemiology 1
    • COVID-19 Clinical Research Studies 1

Azra Lari

9 papers receiving 512 citations

Peers

Azra Lari
Comparison fields: 5 of 78
  • Infectious Diseases 287
  • Animal Science and Zoology 50
  • Molecular Biology 210
  • Modeling and Simulation 14
  • Immunology 46
Replace Lawrence G. Welch with:
Lawrence G. Welch United Kingdom
Enya Qing United States
Gaston Bonenfant United States
Hasahn L. Conway United States
Irene P. Chen United States
Thi Khanh Le France
Anzhalika Sidarovich Germany
Liyang Ma China
Charlène Raclot Switzerland
Devin Kenney United States
Azra Lari relative to Lawrence G. Welch United Kingdom Lawrence G. Welch's profile →
Citations per field
00.5×5×10×15×
Lawrence G. Welch · 1×
Citations per year

Countries citing papers authored by Azra Lari

Since Specialization
Citations

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

Fields of papers citing papers by Azra Lari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 2020357
2 201557
3 202035
4 201723
5 201917
6 201914
7 20257
8 20193
9 20233
10 20250
11 20260

About Azra Lari

Azra Lari is a scholar working on Molecular Biology, Infectious Diseases, Animal Science and Zoology, Epidemiology and Immunology, having authored 11 papers that have together received 516 indexed citations. Recurring topics across this work include RNA Research and Splicing (7 papers), RNA modifications and cancer (4 papers), Nuclear Structure and Function (4 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Viral gastroenteritis research and epidemiology (1 paper), Animal Virus Infections Studies (1 paper), COVID-19 Clinical Research Studies (1 paper) and Fungal Infections and Studies (1 paper). The work is most often cited by research in Infectious Diseases (287 citations), Animal Science and Zoology (50 citations), Molecular Biology (210 citations), Modeling and Simulation (14 citations) and Immunology (46 citations). Azra Lari has collaborated with scholars based in United States, Canada and Switzerland. Frequent co-authors include Britt A. Glaunsinger, Michael Ly, Ella Hartenian, Divya Nandakumar, Jessica M. Tucker, Ben Montpetit, Karsten Weis, Daniel R. Zenklusen, David Grünwald and Stephanie Heinrich. Their work appears in journals such as Nature Biotechnology, Nucleus, Journal of Biological Chemistry, eLife and The Journal of Cell Biology.

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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