Daniel Karl
Impact in
- Hepatology top 10%
- Hepatocellular Carcinoma Treatment and Prognosis
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- Epigenetics and DNA Methylation
- Cancer-related gene regulation
- RNA modifications and cancer
- Histone Deacetylase Inhibitors Research
- Protein Degradation and Inhibitors
Papers in
-
- Cancer-related gene regulation 4
- Protein Degradation and Inhibitors 3
- Epigenetics and DNA Methylation 3
- Ubiquitin and proteasome pathways 1
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- Sarcoma Diagnosis and Treatment 2
- Co-authors
- Fan Liu (5 shared papers)Na Man (6 shared papers)Concepción Martínez (4 shared papers)Ramiro E. Verdún (2 shared papers)Sarah Greenblatt (4 shared papers)Pierre-Jacques Hamard (3 shared papers)Adnan K. Mookhtiar (3 shared papers)Stephen D. Nimer (2 shared papers)
- Journals
- Blood (4 papers)Gastroenterology (1 paper)npj Precision Oncology (1 paper)Cell Reports (1 paper)International Journal of Cancer (1 paper)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Daniel Karl
18 papers receiving 621 citations
Peers
Comparison fields: 5 of 82
- Hepatology 74
- Molecular Biology 348
- Cancer Research 64
- Oncology 111
- Hematology 35
Countries citing papers authored by Daniel Karl
This map shows the geographic impact of Daniel Karl'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 Karl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Karl more than expected).
Fields of papers citing papers by Daniel Karl
This network shows the impact of papers produced by Daniel Karl. 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 Karl. The network helps show where Daniel Karl may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Karl, 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 | 2018 | 148 | |
| 2 | 2011 | 115 | |
| 3 | 2010 | 69 | |
| 4 | 2020 | 46 | |
| 5 | 2017 | 39 | |
| 6 | 2020 | 39 | |
| 7 | 2019 | 37 | |
| 8 | 2012 | 34 | |
| 9 | 2014 | 26 | |
| 10 | 2022 | 24 | |
| 11 | 2010 | 23 | |
| 12 | 2018 | 13 | |
| 13 | 2012 | 8 | |
| 14 | 2022 | 2 | |
| 15 | 2018 | 1 | |
| 16 | 2021 | 1 | |
| 17 | 2019 | 1 | |
| 18 | 2010 | 1 | |
| 19 | 2025 | 0 |
About Daniel Karl
Daniel Karl is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Oncology, Hematology and Computer Networks and Communications, having authored 19 papers that have together received 627 indexed citations. Recurring topics across this work include Cancer-related gene regulation (4 papers), Protein Degradation and Inhibitors (3 papers), Epigenetics and DNA Methylation (3 papers), Sarcoma Diagnosis and Treatment (2 papers), Acute Myeloid Leukemia Research (2 papers), Vascular Tumors and Angiosarcomas (2 papers), Ubiquitin and proteasome pathways (1 paper) and Autonomous Vehicle Technology and Safety (1 paper). The work is most often cited by research in Hepatology (74 citations), Molecular Biology (348 citations), Cancer Research (64 citations), Oncology (111 citations) and Hematology (35 citations). Daniel Karl has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Fan Liu, Na Man, Concepción Martínez, Ramiro E. Verdún, Sarah Greenblatt, Pierre-Jacques Hamard, Adnan K. Mookhtiar, Stephen D. Nimer, Stéphanie Duffort and Sam S. Yoon. Their work appears in journals such as Blood, Gastroenterology, npj Precision Oncology, Cell Reports and International Journal of Cancer.
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.