I’ah Donovan-Banfield

694 citations
17 papers · 418 · 1 hit paper · h-index 11

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

I’ah Donovan-Banfield

15 papers receiving 411 citations

I’ah Donovan-Banfield's Hit Papers

A molnupiravir-associated mutational signature in global SARS-CoV-2 genomes 2023 · 136 citations
1360+1+2Years since publication4080120

Peers

I’ah Donovan-Banfield
Comparison fields: 5 of 63
  • Infectious Diseases 258
  • Animal Science and Zoology 42
  • Modeling and Simulation 14
  • Epidemiology 60
  • Genetics 49
Replace Xiaoying Yu with:
Xiaoying Yu United States
Wendong Lan China
Roy Avraham Israel
Ren Yang China
Anita Shete-Aich India
Jieyun Yin United States
Yingjie Cheng China
Keith Grehan United Kingdom
Sundaresh Shankar United States
I’ah Donovan-Banfield relative to Xiaoying Yu United States Xiaoying Yu's profile →
Citations per field
00.5×1.6×
Xiaoying Yu · 1×
Citations per year

Countries citing papers authored by I’ah Donovan-Banfield

Since Specialization
Citations

This map shows the geographic impact of I’ah Donovan-Banfield'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 I’ah Donovan-Banfield with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites I’ah Donovan-Banfield more than expected).

Fields of papers citing papers by I’ah Donovan-Banfield

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by I’ah Donovan-Banfield. 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 I’ah Donovan-Banfield. The network helps show where I’ah Donovan-Banfield may publish in the future.

Co-authors

The 25 scholars most cited alongside I’ah Donovan-Banfield, 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 I’ah Donovan-Banfield Line = papers co-authored together I’ah Donovan-Banfield links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1
A molnupiravir-associated mutational signature in global SARS-CoV-2 genomes
Hit paper breakdown →
2023136
2 202262
3 202046
4 202246
5 202228
6 202322
7 202117
8 202316
9 202213
10 202213
11 201611
12 20244
13 20252
14 20241
15 20251
16 20250
17 20250

About I’ah Donovan-Banfield

I’ah Donovan-Banfield is a scholar working on Infectious Diseases, Animal Science and Zoology, Health, Epidemiology and Parasitology, having authored 17 papers that have together received 418 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (10 papers), Animal Virus Infections Studies (3 papers), Viral gastroenteritis research and epidemiology (2 papers), COVID-19 Clinical Research Studies (2 papers), Cytomegalovirus and herpesvirus research (2 papers), Plant Virus Research Studies (2 papers), Social Media in Health Education (2 papers) and RNA modifications and cancer (1 paper). The work is most often cited by research in Infectious Diseases (258 citations), Animal Science and Zoology (42 citations), Modeling and Simulation (14 citations), Epidemiology (60 citations) and Genetics (49 citations). I’ah Donovan-Banfield has collaborated with scholars based in United Kingdom, United States and Singapore. Frequent co-authors include Thomas P. Peacock, Alessandra Løchen, Hassan B. Hartman, Christopher Ruis, Theo Sanderson, Julian A. Hiscox, David A. Matthews, Keith N. Leppard, Andrew S. Turnell and Blair L. Strang. Their work appears in journals such as PLoS ONE, Microbiology, Journal of General Virology, The Lancet Infectious Diseases and Virus Evolution.

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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