Egbert Flory

66 papers receiving 3.2k citations

Egbert Flory's Hit Papers

SAMHD1 restricts HIV-1 infection in resting CD4+ T cells 2012 · 502 citations
5020+4+9Years since publication100200300400500

Peers

Egbert Flory
Comparison fields: 5 of 104
  • Virology 1k
  • Genetics 246
  • Immunology 404
  • Cancer Research 164
  • Molecular Biology 724
Replace Fang Liao with:
Fang Liao Taiwan
Einar Martin Aandahl Norway
Donald R. Branch Canada
Karen A. Vincent United States
Nikolaus Heveker Canada
Rachel Louise Allen United Kingdom
Marc Sitbon France
Christine Neuveut France
James C. Williamson United Kingdom
Sheryl L. Brown-Shimer United States
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Citations per year

Countries citing papers authored by Egbert Flory

Since Specialization
Citations

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

Fields of papers citing papers by Egbert Flory

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1
SAMHD1 restricts HIV-1 infection in resting CD4+ T cells
Hit paper breakdown →
2012502
2 2013349
3 2006306
4 2011216
5 2005166
6 2000127
7 200797
8 198896
9 199994
10 199989
11 199681
12 201371
13 199858
14 200158
15 201656
16 201551
17 199849
18
Activation of c-Jun NH2-terminal kinase/stress-activated protein kinase (JNK/SAPK) is critical for hypoxia-induced apoptosis of human malignant melanoma.
200148
19 201348
20 199746

About Egbert Flory

Egbert Flory is a scholar working on Virology, Physiology, Animal Science and Zoology, Cancer Research and Molecular Biology, having authored 68 papers that have together received 3.3k indexed citations. Recurring topics across this work include HIV Research and Treatment (17 papers), Biomedical Ethics and Regulation (15 papers), Virus-based gene therapy research (8 papers), Protein Kinase Regulation and GTPase Signaling (7 papers), Animal Virus Infections Studies (6 papers), NF-κB Signaling Pathways (5 papers), SARS-CoV-2 and COVID-19 Research (5 papers) and Genomics and Chromatin Dynamics (4 papers). The work is most often cited by research in Virology (1k citations), Genetics (246 citations), Immunology (404 citations), Cancer Research (164 citations) and Molecular Biology (724 citations). Egbert Flory has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Ulf Rüdiger Rapp, Klaus Cichutek, Carsten Münk, Matthias Hamdorf, Angelika Hoffmeyer, Stephan Ludwig, Renate König, Heide Muckenfuß, Manfred Kunz and Sylvia Panitz. Their work appears in journals such as Journal of Biological Chemistry, Advances in experimental medicine and biology, Journal of Virology, Journal of General Virology and Nucleic Acids 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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