Paul Badenhorst
Impact in
- Molecular Biology top 5%
- Genomics and Chromatin Dynamics
- Epigenetics and DNA Methylation
- Cancer-related gene regulation
- RNA modifications and cancer
- Protein Degradation and Inhibitors
- Ubiquitin and proteasome pathways
- Aging top 10%
Papers in
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- Neurobiology and Insect Physiology Research 6
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- Invertebrate Immune Response Mechanisms 4
- Co-authors
- So Yeon KwonCarl WuHua XiaoJoanna WysockaThomas A. MilneAlan J. TackettTomek SwigutBrian T. Chait
- Journals
- Development (3 papers)PLoS Genetics (2 papers)Genes & Development (2 papers)Genetics (2 papers)Molecular and Cellular Biology (2 papers)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Paul Badenhorst
23 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 86
- Molecular Biology 1.5k
- Aging 34
- Immunology 299
- Cellular and Molecular Neuroscience 222
- Insect Science 138
Countries citing papers authored by Paul Badenhorst
This map shows the geographic impact of Paul Badenhorst'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 Paul Badenhorst with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul Badenhorst more than expected).
Fields of papers citing papers by Paul Badenhorst
This network shows the impact of papers produced by Paul Badenhorst. 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 Paul Badenhorst. The network helps show where Paul Badenhorst may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Paul Badenhorst, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2021 | 1 | |
| 3 | 2020 | 22 | |
| 4 | 2016 | 47 | |
| 5 | 2016 | 17 | |
| 6 | 2015 | 20 | |
| 7 | 2015 | 35 | |
| 8 | 2010 | 90 | |
| 9 | 2009 | 47 | |
| 10 | 2008 | 54 | |
| 11 | A PHD finger of NURF couples histone H3 lysine 4 trimethylation with chromatin remodelling Hit paper breakdown → | 2006 | 886 |
| 12 | 2005 | 118 | |
| 13 | 2003 | 14 | |
| 14 | 2002 | 178 | |
| 15 | 2002 | 34 | |
| 16 | 2001 | 56 | |
| 17 | 2001 | 59 | |
| 18 | 2000 | 80 | |
| 19 | 1998 | 2 | |
| 20 | 1996 | 9 |
About Paul Badenhorst
Paul Badenhorst is a scholar working on Cellular and Molecular Neuroscience, Immunology, Molecular Biology, Insect Science and Genetics, having authored 23 papers that have together received 1.9k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (9 papers), Neurobiology and Insect Physiology Research (6 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (5 papers), Invertebrate Immune Response Mechanisms (4 papers), Protein Degradation and Inhibitors (4 papers), RNA Research and Splicing (4 papers), Developmental Biology and Gene Regulation (4 papers) and Insect symbiosis and bacterial influences (3 papers). The work is most often cited by research in Molecular Biology (1.5k citations), Aging (34 citations), Immunology (299 citations), Cellular and Molecular Neuroscience (222 citations) and Insect Science (138 citations). Paul Badenhorst has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include So Yeon Kwon, Carl Wu, Hua Xiao, Joanna Wysocka, Thomas A. Milne, Alan J. Tackett, Tomek Swigut, Brian T. Chait, C. David Allis and Matthew G. Voas. Their work appears in journals such as Development, PLoS Genetics, Genes & Development, Genetics and Molecular and Cellular Biology.
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.