Nikail Collins

1.0k citations
12 papers · 717 · h-index 9

Impact in

    • Viral gastroenteritis research and epidemiology
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research

Papers in

    • Viral gastroenteritis research and epidemiology 8
    • Virus-based gene therapy research 3
    • Estrogen and related hormone effects 2

Nikail Collins

12 papers receiving 702 citations

Peers

Nikail Collins
Comparison fields: 5 of 71
  • Infectious Diseases 357
  • Cancer Research 219
  • Animal Science and Zoology 112
  • Hepatology 66
  • Cardiology and Cardiovascular Medicine 155
Replace Sharla McDonald with:
Sharla McDonald United States
Yinglong She China
Fredy Siegrist Switzerland
Brian Oh United States
Dalin He China
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Citations per field
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Citations per year

Countries citing papers authored by Nikail Collins

Since Specialization
Citations

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

Fields of papers citing papers by Nikail Collins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2009284
2 2017217
3 201484
4 201042
5 201321
6 201819
7 201614
8 202111
9 201911
10 20196
11 20215
12 20173

About Nikail Collins

Nikail Collins is a scholar working on Infectious Diseases, Genetics, Cardiology and Cardiovascular Medicine, Molecular Biology and Animal Science and Zoology, having authored 12 papers that have together received 717 indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (8 papers), Viral Infections and Immunology Research (4 papers), Animal Virus Infections Studies (3 papers), Virus-based gene therapy research (3 papers), Bacteriophages and microbial interactions (2 papers), Hepatitis Viruses Studies and Epidemiology (2 papers), Estrogen and related hormone effects (2 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Infectious Diseases (357 citations), Cancer Research (219 citations), Animal Science and Zoology (112 citations), Hepatology (66 citations) and Cardiology and Cardiovascular Medicine (155 citations). Nikail Collins has collaborated with scholars based in United States, United Kingdom and Ecuador. Frequent co-authors include Jan Vinjé, Poornima Bhat‐Nakshatri, Jason S. Carroll, Tim Geistlinger, Myles Brown, Harikrishna Nakshatri, Nicole Gregoricus, Edward F. Srour, Guohua Wang and Yunlong Liu. Their work appears in journals such as PLoS ONE, Clinical Infectious Diseases, American Journal Of Pathology, Journal of Clinical Microbiology and The Journal of Infectious Diseases.

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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