Max Emperle
Impact in
- Hematology top 10%
- Acute Myeloid Leukemia Research
-
- Epigenetics and DNA Methylation
- RNA modifications and cancer
- Cancer-related gene regulation
- Genomics and Chromatin Dynamics
- Histone Deacetylase Inhibitors Research
Papers in
-
- Epigenetics and DNA Methylation 15
- Genomics and Chromatin Dynamics 6
- RNA modifications and cancer 6
- Cancer-related gene regulation 3
-
- Acute Myeloid Leukemia Research 4
- Co-authors
- Albert Jeltsch (15 shared papers)Michael Dukatz (9 shared papers)Pavel Bashtrykov (8 shared papers)Renata Z. Jurkowska (5 shared papers)Arumugam Rajavelu (5 shared papers)Sabrina Adam (6 shared papers)Richard Reinhardt (2 shared papers)Katharina Holzer (2 shared papers)
- Journals
- Nucleic Acids Research (4 papers)Journal of Molecular Biology (4 papers)Nature Communications (1 paper)Biochimie (1 paper)Nature Genetics (1 paper)
- Partner nations
- GermanyUnited KingdomUnited States
In The Last Decade
Max Emperle
16 papers receiving 498 citations
Peers
Comparison fields: 5 of 61
- Hematology 67
- Molecular Biology 421
- Aging 5
- Cancer Research 38
- Genetics 74
Countries citing papers authored by Max Emperle
This map shows the geographic impact of Max Emperle'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 Max Emperle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Max Emperle more than expected).
Fields of papers citing papers by Max Emperle
This network shows the impact of papers produced by Max Emperle. 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 Max Emperle. The network helps show where Max Emperle may publish in the future.
Co-authors
The 25 scholars most cited alongside Max Emperle, 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 | 2020 | 133 | |
| 2 | 2018 | 70 | |
| 3 | 2019 | 52 | |
| 4 | 2019 | 47 | |
| 5 | 2014 | 41 | |
| 6 | 2018 | 35 | |
| 7 | 2018 | 29 | |
| 8 | 2018 | 24 | |
| 9 | 2021 | 20 | |
| 10 | 2019 | 14 | |
| 11 | 2021 | 10 | |
| 12 | 2020 | 8 | |
| 13 | 2022 | 8 | |
| 14 | 2017 | 6 | |
| 15 | 2024 | 2 | |
| 16 | 2022 | 2 |
About Max Emperle
Max Emperle is a scholar working on Molecular Biology, Hematology, Genetics, Cancer Research and Infectious Diseases, having authored 16 papers that have together received 501 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (15 papers), Genomics and Chromatin Dynamics (6 papers), RNA modifications and cancer (6 papers), Acute Myeloid Leukemia Research (4 papers), Cancer-related gene regulation (3 papers), Cancer Genomics and Diagnostics (2 papers), Genetic Syndromes and Imprinting (2 papers) and Allergic Rhinitis and Sensitization (1 paper). The work is most often cited by research in Hematology (67 citations), Molecular Biology (421 citations), Aging (5 citations), Cancer Research (38 citations) and Genetics (74 citations). Max Emperle has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Albert Jeltsch, Michael Dukatz, Pavel Bashtrykov, Renata Z. Jurkowska, Arumugam Rajavelu, Sabrina Adam, Richard Reinhardt, Katharina Holzer, Linfeng Gao and Dongliang Chen. Their work appears in journals such as Nucleic Acids Research, Journal of Molecular Biology, Nature Communications, Biochimie and Nature Genetics.
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.