Gregor Buschhausen-Denker
- Molecular Biology top 10%
- Genetics top 10%
- Cardiology and Cardiovascular Medicine top 10%
- Oncology
- Genetics top 10%
- Co-authors
- Thomas BraunEva BoberEgbert TannichHans-Henning ArnoldK.-H. GrzeschikT PatschinskyWolfgang DeppertKlaus Steinmeyer
- Topics
- RNA and protein synthesis mechanisms (3 papers)Muscle Physiology and Disorders (3 papers)RNA Research and Splicing (3 papers)
- Cited by
- AgingMolecular BiologyGenetics
- Partner nations
- Germany
In The Last Decade
Gregor Buschhausen-Denker
9 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 79
- Molecular Biology 1.2k
- Genetics 197
- Cardiology and Cardiovascular Medicine 174
- Oncology 125
- Genetics 91
Countries citing papers authored by Gregor Buschhausen-Denker
This map shows the geographic impact of Gregor Buschhausen-Denker'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 Gregor Buschhausen-Denker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gregor Buschhausen-Denker more than expected).
Fields of papers citing papers by Gregor Buschhausen-Denker
This network shows the impact of papers produced by Gregor Buschhausen-Denker. 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 Gregor Buschhausen-Denker. The network helps show where Gregor Buschhausen-Denker may publish in the future.
Co-authorship network of co-authors of Gregor Buschhausen-Denker
This figure shows the co-authorship network connecting the top 25 collaborators of Gregor Buschhausen-Denker. A scholar is included among the top collaborators of Gregor Buschhausen-Denker based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gregor Buschhausen-Denker. Gregor Buschhausen-Denker is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | Cell cycle control of p53 in normal (3T3) and chemically transformed (Meth A) mouse cells. II. Requirement for cell cycle progression. | 63 |
| 4 | A novel human muscle factor related to but distinct from MyoD1 induces myogenic conversion in 10T1/2 fibroblasts.breakdown → | 810 |
| 5 | 310 | |
| 6 | 15 | |
| 7 | 74 | |
| 8 | 5 | |
| 9 | 4 |
About Gregor Buschhausen-Denker
Gregor Buschhausen-Denker is a scholar working on Physical Therapy, Sports Therapy and Rehabilitation, Molecular Biology and Genetics, having authored 9 papers that have together received 1.3k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (3 papers), Muscle Physiology and Disorders (3 papers) and RNA Research and Splicing (3 papers). The work is most often cited by research in Aging (33 citations), Molecular Biology (1.2k citations) and Genetics (91 citations). Gregor Buschhausen-Denker has collaborated with scholars based in Germany. Frequent co-authors include Thomas Braun, Eva Bober, Egbert Tannich, Hans-Henning Arnold, Hans-Henning Arnold, K.-H. Grzeschik, T Patschinsky, Wolfgang Deppert, Klaus Steinmeyer and Jan Fritsche. Their work appears in journals such as The EMBO Journal, Molecular and Cellular Biology and Analytical Biochemistry.
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.