R. Hanselmann
Impact in
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- Microtubule and mitosis dynamics
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- Cancer Genomics and Diagnostics
Papers in
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- Heat shock proteins research 2
- Oncology 7
- Cancer-related Molecular Pathways 3
- HER2/EGFR in Cancer Research 2
- Co-authors
- Cornelius Welter (10 shared papers)Martin Oberringer (7 shared papers)W. Mutschler (7 shared papers)Steven Dooley (4 shared papers)K. Remberger (4 shared papers)K. D. Zang (2 shared papers)T. Hopf (3 shared papers)Wolfram Henn (2 shared papers)
- Journals
- Frontiers in Cell and Developmental Biology (2 papers)Biochemical and Biophysical Research Communications (2 papers)Inflammation Research (1 paper)Journal of Cellular Biochemistry (1 paper)Ultramicroscopy (1 paper)
- Partner nations
- GermanyPolandUnited States
In The Last Decade
R. Hanselmann
23 papers receiving 520 citations
Peers
Comparison fields: 5 of 95
- Cell Biology 93
- Cancer Research 73
- Oncology 130
- Molecular Biology 286
- Aging 7
Countries citing papers authored by R. Hanselmann
This map shows the geographic impact of R. Hanselmann'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 R. Hanselmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. Hanselmann more than expected).
Fields of papers citing papers by R. Hanselmann
This network shows the impact of papers produced by R. Hanselmann. 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 R. Hanselmann. The network helps show where R. Hanselmann may publish in the future.
Co-authors
The 25 scholars most cited alongside R. Hanselmann, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 75 | |
| 2 | 1995 | 60 | |
| 3 | 1996 | 52 | |
| 4 | 1996 | 47 | |
| 5 | 2016 | 36 | |
| 6 | 2002 | 32 | |
| 7 | 1997 | 31 | |
| 8 | 1999 | 30 | |
| 9 | 1993 | 26 | |
| 10 | 1998 | 22 | |
| 11 | 2000 | 19 | |
| 12 | Nuclear runoff transcription analysis using chemiluminescent detection. | 1994 | 19 |
| 13 | 1998 | 18 | |
| 14 | 2001 | 17 | |
| 15 | 2022 | 16 | |
| 16 | 2016 | 9 | |
| 17 | 2001 | 7 | |
| 18 | 2006 | 6 | |
| 19 | 1997 | 5 | |
| 20 | 2004 | 5 |
About R. Hanselmann
R. Hanselmann is a scholar working on Molecular Biology, Oncology, Pathology and Forensic Medicine, Cell Biology and Rehabilitation, having authored 24 papers that have together received 545 indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (3 papers), Cancer-related Molecular Pathways (3 papers), Genetic factors in colorectal cancer (2 papers), HER2/EGFR in Cancer Research (2 papers), Heat shock proteins research (2 papers), Sarcoma Diagnosis and Treatment (2 papers), Rheumatoid Arthritis Research and Therapies (2 papers) and Wound Healing and Treatments (2 papers). The work is most often cited by research in Cell Biology (93 citations), Cancer Research (73 citations), Oncology (130 citations), Molecular Biology (286 citations) and Aging (7 citations). R. Hanselmann has collaborated with scholars based in Germany, Poland and United States. Frequent co-authors include Cornelius Welter, Martin Oberringer, W. Mutschler, Steven Dooley, K. Remberger, K. D. Zang, T. Hopf, Wolfram Henn, Manfred Schartl and Sandra Maier. Their work appears in journals such as Frontiers in Cell and Developmental Biology, Biochemical and Biophysical Research Communications, Inflammation Research, Journal of Cellular Biochemistry and Ultramicroscopy.
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.