Alex Appert
Impact in
- Aging top 10%
- Cancer Research top 10%
- NF-κB Signaling Pathways
Papers in
-
- Genomics and Chromatin Dynamics 8
- Epigenetics and DNA Methylation 4
-
- NF-κB Signaling Pathways 2
- Co-authors
- Ming‐Qing Du (4 shared papers)Julie Ahringer (8 shared papers)Dong Yan (6 shared papers)Rifat Hamoudi (3 shared papers)Przemysław Stempor (5 shared papers)Ni Huang (4 shared papers)Mathijs Baens (2 shared papers)Peter C. Lucas (2 shared papers)
- Journals
- PLoS Genetics (2 papers)eLife (2 papers)Oncogene (2 papers)Clinical Cancer Research (1 paper)Nature Structural & Molecular Biology (1 paper)
- Partner nations
- United KingdomUnited StatesFrance
In The Last Decade
Alex Appert
16 papers receiving 950 citations
Peers
Comparison fields: 5 of 67
- Aging 28
- Cancer Research 142
- Molecular Biology 569
- Pathology and Forensic Medicine 111
- Plant Science 77
Countries citing papers authored by Alex Appert
This map shows the geographic impact of Alex Appert'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 Alex Appert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alex Appert more than expected).
Fields of papers citing papers by Alex Appert
This network shows the impact of papers produced by Alex Appert. 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 Alex Appert. The network helps show where Alex Appert may publish in the future.
Co-authors
The 25 scholars most cited alongside Alex Appert, 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 | 2014 | 286 | |
| 2 | 2011 | 131 | |
| 3 | 2010 | 97 | |
| 4 | 2017 | 83 | |
| 5 | 2018 | 64 | |
| 6 | 2012 | 62 | |
| 7 | 2011 | 55 | |
| 8 | 2019 | 38 | |
| 9 | 2008 | 37 | |
| 10 | 2009 | 36 | |
| 11 | 2013 | 25 | |
| 12 | 2020 | 15 | |
| 13 | 2021 | 13 | |
| 14 | 2022 | 7 | |
| 15 | 2025 | 6 | |
| 16 | 2024 | 1 |
About Alex Appert
Alex Appert is a scholar working on Molecular Biology, Cancer Research, Pathology and Forensic Medicine, Immunology and Public Health, Environmental and Occupational Health, having authored 16 papers that have together received 956 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (8 papers), Epigenetics and DNA Methylation (4 papers), Lymphoma Diagnosis and Treatment (2 papers), NF-κB Signaling Pathways (2 papers), T-cell and Retrovirus Studies (2 papers), Acute Lymphoblastic Leukemia research (2 papers), Chromosomal and Genetic Variations (2 papers) and Cancer-related Molecular Pathways (1 paper). The work is most often cited by research in Aging (28 citations), Cancer Research (142 citations), Molecular Biology (569 citations), Pathology and Forensic Medicine (111 citations) and Plant Science (77 citations). Alex Appert has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Ming‐Qing Du, Julie Ahringer, Dong Yan, Rifat Hamoudi, Przemysław Stempor, Ni Huang, Mathijs Baens, Peter C. Lucas, Linda M. McAllister‐Lucas and Ingrid J. Apel. Their work appears in journals such as PLoS Genetics, eLife, Oncogene, Clinical Cancer Research and Nature Structural & Molecular 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.