Daniel P. Bednarik

1.8k citations
31 papers · 1.5k · h-index 17

Impact in

  • Virology top 1%
    • HIV Research and Treatment
  • Immunology top 5%
    • Immune Cell Function and Interaction

Papers in

    • Epigenetics and DNA Methylation 4
    • RNA Interference and Gene Delivery 3
    • Photosynthetic Processes and Mechanisms 3
    • Cancer-related gene regulation 3
    • HIV Research and Treatment 10

Daniel P. Bednarik

31 papers receiving 1.5k citations

Peers

Daniel P. Bednarik
Comparison fields: 5 of 90
  • Virology 647
  • Immunology 412
  • Infectious Diseases 297
  • Epidemiology 404
  • Cardiology and Cardiovascular Medicine 183
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Citations per year

Countries citing papers authored by Daniel P. Bednarik

Since Specialization
Citations

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

Fields of papers citing papers by Daniel P. Bednarik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel P. Bednarik. 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 Daniel P. Bednarik. The network helps show where Daniel P. Bednarik may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1987244
2 1987196
3 2004156
4 2005134
5 1990130
6 1988118
7 198987
8 198778
9
DNA CpG methylation inhibits binding of NF-kappa B proteins to the HIV-1 long terminal repeat cognate DNA motifs.
199153
10 199247
11 199344
12 198544
13 199236
14
Transcription of the HIV-1 LTR is regulated by the density of DNA CpG methylation.
199329
15 200927
16 198520
17
Biphasic in vitro regulation of retroviral replication by CD8+ cells from nonhuman primates.
199418
18 19939
19 19947
20 20207

About Daniel P. Bednarik

Daniel P. Bednarik is a scholar working on Molecular Biology, Virology, Immunology, Infectious Diseases and Oncology, having authored 31 papers that have together received 1.5k indexed citations. Recurring topics across this work include HIV Research and Treatment (10 papers), HIV/AIDS drug development and treatment (5 papers), Immune Cell Function and Interaction (5 papers), CAR-T cell therapy research (4 papers), Epigenetics and DNA Methylation (4 papers), RNA Interference and Gene Delivery (3 papers), Photosynthetic Processes and Mechanisms (3 papers) and Cancer-related gene regulation (3 papers). The work is most often cited by research in Virology (647 citations), Immunology (412 citations), Infectious Diseases (297 citations), Epidemiology (404 citations) and Cardiology and Cardiovascular Medicine (183 citations). Daniel P. Bednarik has collaborated with scholars based in United States. Frequent co-authors include Paula M. Pitha, J D Mosca, Nitin Raj, C A Rosen, William A. Haseltine, Judith Α. Cook, Joseph Sodroski, J. Kenneth Hoober, Kenneth B. Margulies and W. Stratford May. Their work appears in journals such as Virus Research, Blood, Proceedings of the National Academy of Sciences, Journal of the American College of Cardiology and Nature.

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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