Frank Eckerdt
Impact in
- Cell Biology top 2%
- Microtubule and mitosis dynamics
- Oncology top 5%
- Cancer-related Molecular Pathways
Papers in
- Genetics 11
- Glioma Diagnosis and Treatment 7
- Myeloproliferative Neoplasms: Diagnosis and Treatment 3
- Cell Biology 14
- Microtubule and mitosis dynamics 13
- Co-authors
- Klaus Strebhardt (6 shared papers)Juping Yuan (5 shared papers)Leonidas C. Platanias (22 shared papers)Manfred Kaufmann (4 shared papers)James L. Maller (6 shared papers)Andrea Krämer (3 shared papers)Andrea L. Lewellyn (4 shared papers)Marc Roller (2 shared papers)
- Journals
- Oncogene (5 papers)Oncotarget (5 papers)Molecular Cancer Research (4 papers)Cell Cycle (3 papers)Cancers (3 papers)
- Partner nations
- United StatesGermanyCanada
In The Last Decade
Frank Eckerdt
43 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 90
- Cell Biology 582
- Oncology 588
- Molecular Biology 1.2k
- Genetics 158
- Cancer Research 175
Countries citing papers authored by Frank Eckerdt
This map shows the geographic impact of Frank Eckerdt'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 Frank Eckerdt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frank Eckerdt more than expected).
Fields of papers citing papers by Frank Eckerdt
This network shows the impact of papers produced by Frank Eckerdt. 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 Frank Eckerdt. The network helps show where Frank Eckerdt may publish in the future.
Co-authors
The 25 scholars most cited alongside Frank Eckerdt, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 317 | |
| 2 | 2004 | 188 | |
| 3 | 2002 | 106 | |
| 4 | 2005 | 93 | |
| 5 | 2016 | 92 | |
| 6 | 2006 | 69 | |
| 7 | 2008 | 63 | |
| 8 | 2023 | 58 | |
| 9 | 2017 | 52 | |
| 10 | 2016 | 41 | |
| 11 | Efficient internalization of the polo-box of polo-like kinase 1 fused to an Antennapedia peptide results in inhibition of cancer cell proliferation. | 2002 | 39 |
| 12 | 2016 | 37 | |
| 13 | 2018 | 37 | |
| 14 | 2015 | 36 | |
| 15 | 2011 | 35 | |
| 16 | 2014 | 34 | |
| 17 | 2020 | 34 | |
| 18 | 2009 | 32 | |
| 19 | 2017 | 32 | |
| 20 | 2019 | 28 |
About Frank Eckerdt
Frank Eckerdt is a scholar working on Genetics, Cell Biology, Oncology, Molecular Biology and Hematology, having authored 44 papers that have together received 1.7k indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (13 papers), Cancer-related Molecular Pathways (10 papers), Glioma Diagnosis and Treatment (7 papers), PI3K/AKT/mTOR signaling in cancer (5 papers), Genomics and Chromatin Dynamics (4 papers), DNA Repair Mechanisms (4 papers), interferon and immune responses (4 papers) and Myeloproliferative Neoplasms: Diagnosis and Treatment (3 papers). The work is most often cited by research in Cell Biology (582 citations), Oncology (588 citations), Molecular Biology (1.2k citations), Genetics (158 citations) and Cancer Research (175 citations). Frank Eckerdt has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Klaus Strebhardt, Juping Yuan, Leonidas C. Platanias, Manfred Kaufmann, James L. Maller, Andrea Krämer, Andrea L. Lewellyn, Marc Roller, Stewart Goldman and Jonathan B. Bell. Their work appears in journals such as Oncogene, Oncotarget, Molecular Cancer Research, Cell Cycle and Cancers.
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.