C. Grief

678 citations
19 papers · 551 · h-index 12

Impact in

  • Virology top 2%
    • HIV Research and Treatment
    • HIV/AIDS drug development and treatment
    • HIV/AIDS Research and Interventions

Papers in

C. Grief

19 papers receiving 524 citations

Peers

C. Grief
Comparison fields: 5 of 70
  • Virology 265
  • Infectious Diseases 244
  • Renewable Energy, Sustainability and the Environment 74
  • Hepatology 29
  • Molecular Biology 207
Replace Sarah Burroughs Tencza with:
Sarah Burroughs Tencza United States
K. B. Easterbrook Canada
Jiong Shi United States
Elaine D. Byles United Kingdom
Tobias Schulze Germany
J. F. Szilágyi United Kingdom
Yongzhi Geng United States
J S Brusca United States
Norihiro Maeda Japan
Glen A. Coburn Canada
C. Grief relative to Sarah Burroughs Tencza United States Sarah Burroughs Tencza's profile →
Citations per field
00.5×6.7×
Sarah Burroughs Tencza · 1×
Citations per year

Countries citing papers authored by C. Grief

Since Specialization
Citations

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

Fields of papers citing papers by C. Grief

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 1991151
2 198581
3 199456
4 199342
5 199739
6 198736
7 198924
8 198723
9 199123
10 198719
11 199416
12 199113
13 200111
14 19936
15
Ultrastructural and immunocytochemical study on the infection of enterovirus 71 (EV 71) in rhabdomyosarcoma (RD) cells.
19984
16
Dengue Virus (Flavivirus) Morphogenesis: Ultrastructural Aspects
19973
17 20042
18 19901
19 20091

About C. Grief

C. Grief is a scholar working on Molecular Biology, Virology, Epidemiology, Infectious Diseases and Ecology, having authored 19 papers that have together received 551 indexed citations. Recurring topics across this work include HIV Research and Treatment (7 papers), Bacteriophages and microbial interactions (4 papers), Glycosylation and Glycoproteins Research (4 papers), HIV/AIDS drug development and treatment (3 papers), Herpesvirus Infections and Treatments (3 papers), Hepatitis B Virus Studies (2 papers), Hepatitis C virus research (2 papers) and Liver Disease Diagnosis and Treatment (2 papers). The work is most often cited by research in Virology (265 citations), Infectious Diseases (244 citations), Renewable Energy, Sustainability and the Environment (74 citations), Hepatology (29 citations) and Molecular Biology (207 citations). C. Grief has collaborated with scholars based in United Kingdom, Brazil and Slovakia. Frequent co-authors include D. J. Hockley, Peter Shaw, N. A. Roberts, Jane Craig, I. B. R. Duncan, John Mills, M. V. Nermut, Keith Roberts, G. J. Hills and John H. Doonan. Their work appears in journals such as Planta, Journal of General Virology, Molecular Microbiology, Memórias do Instituto Oswaldo Cruz and Antiviral Research.

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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