Eneida Hatcher

9.5k citations
9 papers · 827 · h-index 7

Impact in

  • Virology top 5%
    • Poxvirus research and outbreaks
    • SARS-CoV-2 and COVID-19 Research
    • Viral gastroenteritis research and epidemiology

Papers in

    • Respiratory viral infections research 2
    • Herpesvirus Infections and Treatments 2
    • Machine Learning in Bioinformatics 1

Eneida Hatcher

9 papers receiving 818 citations

Peers

Eneida Hatcher
Comparison fields: 5 of 128
  • Virology 176
  • Infectious Diseases 190
  • Epidemiology 182
  • Endocrinology 26
  • Molecular Biology 341
Replace Akihiko Uda with:
Akihiko Uda Japan
Eduan Wilkinson South Africa
Brittany Rife Magalis United States
Jeffrey W. Koehler United States
Rebecca Gray United States
Joe Parker United Kingdom
S. Moola South Africa
Elizabeth Vitalis United States
Loubna Tazi United States
Eneida Hatcher relative to Akihiko Uda Japan Akihiko Uda's profile →
Citations per field
00.5×1.5×2.5×
Akihiko Uda · 1×
Citations per year

Countries citing papers authored by Eneida Hatcher

Since Specialization
Citations

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

Fields of papers citing papers by Eneida Hatcher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 2016281
2 2019273
3 2010158
4 202045
5 201929
6 201424
7 201515
8 20251
9 20241

About Eneida Hatcher

Eneida Hatcher is a scholar working on Epidemiology, Molecular Biology, Virology, Infectious Diseases and Ecology, Evolution, Behavior and Systematics, having authored 9 papers that have together received 827 indexed citations. Recurring topics across this work include Poxvirus research and outbreaks (3 papers), Respiratory viral infections research (2 papers), Herpesvirus Infections and Treatments (2 papers), Cancer Genomics and Diagnostics (1 paper), Plant and animal studies (1 paper), Viral Infections and Outbreaks Research (1 paper), Machine Learning in Bioinformatics (1 paper) and Viral gastroenteritis research and epidemiology (1 paper). The work is most often cited by research in Virology (176 citations), Infectious Diseases (190 citations), Epidemiology (182 citations), Endocrinology (26 citations) and Molecular Biology (341 citations). Eneida Hatcher has collaborated with scholars based in United States, Spain and Australia. Frequent co-authors include Elliot J. Lefkowitz, R. Curtis Hendrickson, Chunlin Wang, Eric P. Nawrocki, Alejandro A. Schäffer, Olga Blinkova, Yīmíng Bào, J. Rodney Brister, Uwe Scherf and Lisa Sadzewicz. Their work appears in journals such as Viruses, BMC Bioinformatics, Journal of Virology, Nucleic Acids Research and Nature Microbiology.

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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