Glen Hatfield

778 citations
15 papers · 622 · h-index 11

Impact in

    • Neurogenesis and neuroplasticity mechanisms
  • Genetics top 5%
    • Neurogenetic and Muscular Disorders Research
    • Mesenchymal stem cell research

Papers in

    • Gut microbiota and health 3
    • RNA Interference and Gene Delivery 2
    • T-cell and B-cell Immunology 4
    • Immune Cell Function and Interaction 4
    • Immunotherapy and Immune Responses 3

Glen Hatfield

15 papers receiving 608 citations

Peers

Glen Hatfield
Comparison fields: 5 of 82
  • Developmental Neuroscience 128
  • Genetics 179
  • Virology 55
  • Neurology 149
  • Cellular and Molecular Neuroscience 176
Replace Sandra Klein with:
Sandra Klein Germany
Laëtitia Aubry France
Daniel Lieberman United States
Lucy E. Walmsley United Kingdom
Eun Hyuk Chang South Korea
Camila Zaverucha-do-Valle Brazil
Michael C. Molleston United States
Susanne Kuhn Germany
Shumei Man United States
Katherine Norrby United Kingdom
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Citations per field
00.5×3.1×
Sandra Klein · 1×
Citations per year

Countries citing papers authored by Glen Hatfield

Since Specialization
Citations

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

Fields of papers citing papers by Glen Hatfield

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2006192
2 2007187
3 200949
4 200338
5 202031
6 200028
7 202124
8 200421
9 200115
10 200414
11 200910
12 20046
13
Common Cause Failure Modeling: Aerospace Versus Nuclear
20105
14 20191
15
Field Programmable Gate Array Failure Rate Estimation Guidelines for Launch Vehicle Fault Tree Models
20171

About Glen Hatfield

Glen Hatfield is a scholar working on Molecular Biology, Immunology, Virology, Epidemiology and Physiology, having authored 15 papers that have together received 622 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (4 papers), HIV Research and Treatment (4 papers), Immune Cell Function and Interaction (4 papers), Immunotherapy and Immune Responses (3 papers), Gut microbiota and health (3 papers), RNA Interference and Gene Delivery (2 papers), Neurogenesis and neuroplasticity mechanisms (1 paper) and Neuroscience and Neural Engineering (1 paper). The work is most often cited by research in Developmental Neuroscience (128 citations), Genetics (179 citations), Virology (55 citations), Neurology (149 citations) and Cellular and Molecular Neuroscience (176 citations). Glen Hatfield has collaborated with scholars based in United States, Germany and Australia. Frequent co-authors include Leyan Xu, Vassilis E. Koliatsos, Karl Johe, Thomas G. Hazel, Jun Yan, David Chen, C. David Pauza, Ilia Tikhonov, Tracy J. Ruckwardt and Emese Prandovszky. Their work appears in journals such as Journal of Virology, Journal of Medical Primatology, Stem Cells, FEBS Letters and Brain Behavior and Immunity.

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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