B. Heimann
Impact in
-
- HER2/EGFR in Cancer Research
- Lung Cancer Research Studies
-
- Protein Kinase Regulation and GTPase Signaling
- Melanoma and MAPK Pathways
Papers in
-
- Glycosylation and Glycoproteins Research 2
- Protein Degradation and Inhibitors 1
- Biochemical and Molecular Research 1
- Oncology 5
- Peptidase Inhibition and Analysis 3
- Cancer-related Molecular Pathways 1
- Co-authors
- Karin Moelling (8 shared papers)P. Beimling (2 shared papers)Ulf R. Rapp (1 shared paper)Thomas Sander (1 shared paper)K. Havemann (4 shared papers)Gerold Bepler (3 shared papers)Martin Rotsch (2 shared papers)Christian Hennig (1 shared paper)
- Journals
- Lung Cancer (2 papers)Experimental Cell Research (1 paper)The EMBO Journal (1 paper)Nature (1 paper)Journal of Cancer Research and Clinical Oncology (1 paper)
- Partner nations
- GermanyFranceUnited States
In The Last Decade
B. Heimann
8 papers receiving 347 citations
Peers
Comparison fields: 5 of 48
- Oncology 110
- Molecular Biology 251
- Cancer Research 39
- Genetics 55
- Cell Biology 31
Countries citing papers authored by B. Heimann
This map shows the geographic impact of B. Heimann'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 B. Heimann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites B. Heimann more than expected).
Fields of papers citing papers by B. Heimann
This network shows the impact of papers produced by B. Heimann. 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 B. Heimann. The network helps show where B. Heimann may publish in the future.
Co-authors
The 21 scholars most cited alongside B. Heimann, 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 | 1984 | 203 | |
| 2 | 1989 | 105 | |
| 3 | Expression of p64c-myc and neuroendocrine properties define three subclasses of small cell lung cancer. | 1989 | 18 |
| 4 | 1988 | 13 | |
| 5 | 1987 | 8 | |
| 6 | 1985 | 7 | |
| 7 | 1988 | 4 | |
| 8 | An invariant asparagine residue belonging to a highly conserved domain in all protein kinases is instrumental in the protein kinase activity of the v-mil gene product. | 1988 | 3 |
About B. Heimann
B. Heimann is a scholar working on Molecular Biology, Oncology, Radiology, Nuclear Medicine and Imaging, Genetics and Epidemiology, having authored 8 papers that have together received 361 indexed citations. Recurring topics across this work include Virus-based gene therapy research (3 papers), Peptidase Inhibition and Analysis (3 papers), Glycosylation and Glycoproteins Research (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Protein Degradation and Inhibitors (1 paper), Cancer-related Molecular Pathways (1 paper), Biochemical and Molecular Research (1 paper) and Lung Cancer Treatments and Mutations (1 paper). The work is most often cited by research in Oncology (110 citations), Molecular Biology (251 citations), Cancer Research (39 citations), Genetics (55 citations) and Cell Biology (31 citations). B. Heimann has collaborated with scholars based in Germany, France and United States. Frequent co-authors include Karin Moelling, P. Beimling, Ulf R. Rapp, Thomas Sander, K. Havemann, Gerold Bepler, Martin Rotsch, Christian Hennig, Paul Kiefer and Hilmar Bading. Their work appears in journals such as Lung Cancer, Experimental Cell Research, The EMBO Journal, Nature and Journal of Cancer Research and Clinical Oncology.
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.