Daniel Speidel
Impact in
- Oncology top 5%
- Cancer-related Molecular Pathways
- Cancer Research top 10%
Papers in
-
- Cell death mechanisms and regulation 6
- Ubiquitin and proteasome pathways 5
- DNA Repair Mechanisms 2
- Epigenetics and DNA Methylation 2
- Protein Degradation and Inhibitors 2
- Histone Deacetylase Inhibitors Research 2
- Oncology 13
- Cancer-related Molecular Pathways 13
- Co-authors
- Wolfgang Deppert (7 shared papers)Sonja Wolff (1 shared paper)Ute M. Moll (1 shared paper)Christina Heinlein (3 shared papers)Martin Michaelis (4 shared papers)Jindřich Činátl (2 shared papers)Jürgen Löhler (2 shared papers)Hans Wilhelm Doerr (2 shared papers)
- Journals
- Oncogene (3 papers)Cell Death and Disease (3 papers)Cell Cycle (2 papers)Biochemical Society Transactions (1 paper)Current Protocols in Cytometry (1 paper)
- Partner nations
- GermanyAustraliaUnited Kingdom
In The Last Decade
Daniel Speidel
18 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 97
- Oncology 601
- Cancer Research 228
- Molecular Biology 921
- Biotechnology 110
- Geriatrics and Gerontology 29
Countries citing papers authored by Daniel Speidel
This map shows the geographic impact of Daniel Speidel'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 Speidel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Speidel more than expected).
Fields of papers citing papers by Daniel Speidel
This network shows the impact of papers produced by Daniel Speidel. 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 Speidel. The network helps show where Daniel Speidel may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Speidel, 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 | 2005 | 392 | |
| 2 | 2009 | 297 | |
| 3 | 2011 | 153 | |
| 4 | 2015 | 143 | |
| 5 | 2010 | 122 | |
| 6 | 2005 | 63 | |
| 7 | 2007 | 54 | |
| 8 | 2005 | 49 | |
| 9 | 2007 | 33 | |
| 10 | 2010 | 25 | |
| 11 | 2014 | 24 | |
| 12 | 2015 | 22 | |
| 13 | 2012 | 20 | |
| 14 | 2014 | 17 | |
| 15 | 2005 | 16 | |
| 16 | 2011 | 8 | |
| 17 | 2017 | 6 | |
| 18 | 2025 | 1 |
About Daniel Speidel
Daniel Speidel is a scholar working on Molecular Biology, Oncology, Biotechnology, Genetics and Cell Biology, having authored 18 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (13 papers), Cell death mechanisms and regulation (6 papers), Ubiquitin and proteasome pathways (5 papers), Cancer Research and Treatments (4 papers), DNA Repair Mechanisms (2 papers), Epigenetics and DNA Methylation (2 papers), Protein Degradation and Inhibitors (2 papers) and Histone Deacetylase Inhibitors Research (2 papers). The work is most often cited by research in Oncology (601 citations), Cancer Research (228 citations), Molecular Biology (921 citations), Biotechnology (110 citations) and Geriatrics and Gerontology (29 citations). Daniel Speidel has collaborated with scholars based in Germany, Australia and United Kingdom. Frequent co-authors include Wolfgang Deppert, Sonja Wolff, Ute M. Moll, Christina Heinlein, Martin Michaelis, Jindřich Činátl, Jürgen Löhler, Hans Wilhelm Doerr, Rainer Breitling and Nadine Löschmann. Their work appears in journals such as Oncogene, Cell Death and Disease, Cell Cycle, Biochemical Society Transactions and Current Protocols in Cytometry.
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.