Alex Appert
Impact in
- Aging top 1%
- Genetics, Aging, and Longevity in Model Organisms
- Cancer Research top 10%
- NF-κB Signaling Pathways
Papers in
-
- Genomics and Chromatin Dynamics 4
- Epigenetics and DNA Methylation 3
- CRISPR and Genetic Engineering 3
- Ubiquitin and proteasome pathways 2
- Aging 7
- Genetics, Aging, and Longevity in Model Organisms 7
- Co-authors
- Julie Ahringer (10 shared papers)Przemysław Stempor (7 shared papers)Dong Yan (7 shared papers)Rifat Hamoudi (3 shared papers)Ni Huang (5 shared papers)Ming‐Qing Du (2 shared papers)Mathijs Baens (2 shared papers)Peter C. Lucas (2 shared papers)
- Journals
- PLoS Genetics (2 papers)Oncogene (2 papers)eLife (2 papers)Science (1 paper)Clinical Cancer Research (1 paper)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Alex Appert
17 papers receiving 706 citations
Peers
Comparison fields: 5 of 76
- Aging 176
- Cancer Research 164
- Immunology 146
- Molecular Biology 432
- Pathology and Forensic Medicine 91
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 | 2011 | 123 | |
| 2 | 2010 | 90 | |
| 3 | 2017 | 84 | |
| 4 | 2018 | 66 | |
| 5 | 2012 | 64 | |
| 6 | 2011 | 51 | |
| 7 | 2015 | 49 | |
| 8 | 2008 | 37 | |
| 9 | 2009 | 36 | |
| 10 | 2019 | 35 | |
| 11 | 2013 | 25 | |
| 12 | 2020 | 14 | |
| 13 | 2021 | 12 | |
| 14 | Factors X Nice I and II: two novel missense mutations (Met-40Val and Pro304Ser) in patient with coagulation factor X deficiency. | 1998 | 7 |
| 15 | 2022 | 6 | |
| 16 | 2021 | 6 | |
| 17 | 2025 | 4 |
About Alex Appert
Alex Appert is a scholar working on Molecular Biology, Aging, Oncology, Plant Science and Cancer Research, having authored 17 papers that have together received 709 indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (7 papers), NF-κB Signaling Pathways (4 papers), Genomics and Chromatin Dynamics (4 papers), Epigenetics and DNA Methylation (3 papers), CRISPR and Genetic Engineering (3 papers), Ubiquitin and proteasome pathways (2 papers), Chromosomal and Genetic Variations (2 papers) and Lymphoma Diagnosis and Treatment (2 papers). The work is most often cited by research in Aging (176 citations), Cancer Research (164 citations), Immunology (146 citations), Molecular Biology (432 citations) and Pathology and Forensic Medicine (91 citations). Alex Appert has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Julie Ahringer, Przemysław Stempor, Dong Yan, Rifat Hamoudi, Ni Huang, Ming‐Qing Du, Mathijs Baens, Peter C. Lucas, Ingrid J. Apel and Shaun Rosebeck. Their work appears in journals such as PLoS Genetics, Oncogene, eLife, Science and Clinical Cancer 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.