G. Trams
Impact in
- Cancer Research top 10%
- Breast Cancer Treatment Studies
- Genetics top 10%
- Estrogen and related hormone effects
Papers in
- Genetics 21
- Estrogen and related hormone effects 21
-
- Breast Cancer Treatment Studies 10
- Co-authors
- H. Maaß (8 shared papers)Heinrich Maass (7 shared papers)F. Lehmann (3 shared papers)W. Jonat (2 shared papers)H. Nowakowski (3 shared papers)H. Kubiński (2 shared papers)H. Brewitt (1 shared paper)H Möllmann (1 shared paper)
- Journals
- Archives of Gynecology and Obstetrics (7 papers)European Journal of Endocrinology (2 papers)Cancer (2 papers)Radiation and Environmental Biophysics (1 paper)Acta Obstetricia Et Gynecologica Scandinavica (1 paper)
- Partner nations
- Germany
In The Last Decade
G. Trams
30 papers receiving 330 citations
Peers
Comparison fields: 5 of 30
- Cancer Research 124
- Genetics 239
- Oncology 35
- Obstetrics and Gynecology 13
- Pathology and Forensic Medicine 17
Countries citing papers authored by G. Trams
This map shows the geographic impact of G. Trams'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 G. Trams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Trams more than expected).
Fields of papers citing papers by G. Trams
This network shows the impact of papers produced by G. Trams. 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 G. Trams. The network helps show where G. Trams may publish in the future.
Co-authors
The 18 scholars most cited alongside G. Trams, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1972 | 91 | |
| 2 | 1980 | 55 | |
| 3 | 1975 | 45 | |
| 4 | Specific binding of estradiol and dihydrotestosterone in human mammary cancers. | 1977 | 39 |
| 5 | 1973 | 38 | |
| 6 | 1996 | 19 | |
| 7 | 1980 | 17 | |
| 8 | 1994 | 12 | |
| 9 | 1973 | 11 | |
| 10 | 1972 | 10 | |
| 11 | 1989 | 8 | |
| 12 | 1966 | 6 | |
| 13 | 1966 | 5 | |
| 14 | 1980 | 4 | |
| 15 | 1983 | 4 | |
| 16 | Steroid hormone receptors in human breast cancer and clinical correlations. | 1975 | 3 |
| 17 | 1976 | 3 | |
| 18 | 1977 | 3 | |
| 19 | 1971 | 2 | |
| 20 | 1975 | 2 |
About G. Trams
G. Trams is a scholar working on Genetics, Cancer Research, Pathology and Forensic Medicine, Physiology and Reproductive Medicine, having authored 34 papers that have together received 393 indexed citations. Recurring topics across this work include Estrogen and related hormone effects (21 papers), Breast Cancer Treatment Studies (10 papers), Breast Lesions and Carcinomas (2 papers), RNA and protein synthesis mechanisms (2 papers), Clinical Laboratory Practices and Quality Control (1 paper), Sexual Differentiation and Disorders (1 paper), Ovarian cancer diagnosis and treatment (1 paper) and Telomeres, Telomerase, and Senescence (1 paper). The work is most often cited by research in Cancer Research (124 citations), Genetics (239 citations), Oncology (35 citations), Obstetrics and Gynecology (13 citations) and Pathology and Forensic Medicine (17 citations). G. Trams has collaborated with scholars based in Germany. Frequent co-authors include H. Maaß, Heinrich Maass, F. Lehmann, W. Jonat, H. Nowakowski, H. Kubiński, H. Brewitt, H Möllmann, Piere Rogalla and H.-E. Stegner. Their work appears in journals such as Archives of Gynecology and Obstetrics, European Journal of Endocrinology, Cancer, Radiation and Environmental Biophysics and Acta Obstetricia Et Gynecologica Scandinavica.
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.