G. Trams

448 citations
35 papers · 396 · h-index 10

Impact in

Papers in

    • Estrogen and related hormone effects 24
    • RNA and protein synthesis mechanisms 3
    • RNA Research and Splicing 2
    • DNA Repair Mechanisms 1

G. Trams

29 papers receiving 349 citations

Peers

G. Trams
Comparison fields: 5 of 63
  • Genetics 238
  • Cancer Research 72
  • Oncology 122
  • Reproductive Medicine 28
  • Endocrinology, Diabetes and Metabolism 42
Replace Roberto E. Garola with:
Roberto E. Garola United States
G C Chamness United States
C.G. Castles United States
Jean Yates United Kingdom
J Goussard France
Heinrich Maass Germany
Ella Twaddle Australia
M. Camille Alexander United States
A. Koenders Netherlands
P Briand Denmark
G. Trams relative to Roberto E. Garola United States Roberto E. Garola's profile →
Citations per field
00.5×
Roberto E. Garola · 1×
Citations per year

Countries citing papers authored by G. Trams

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 25 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.

Border = papers with G. Trams Line = papers co-authored together G. Trams links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 197291
2 198056
3 197545
4
Specific binding of estradiol and dihydrotestosterone in human mammary cancers.
197739
5 197338
6 199619
7 198017
8 199414
9 197311
10 197210
11 19898
12 19666
13 19665
14 19834
15 19804
16
Steroid hormone receptors in human breast cancer and clinical correlations.
19753
17 19773
18 19763
19 19812
20 19772

About G. Trams

G. Trams is a scholar working on Genetics, Molecular Biology, Cancer Research, Oncology and Immunology, having authored 35 papers that have together received 396 indexed citations. Recurring topics across this work include Estrogen and related hormone effects (24 papers), Breast Cancer Treatment Studies (8 papers), Reproductive System and Pregnancy (4 papers), RNA and protein synthesis mechanisms (3 papers), Cancer Treatment and Pharmacology (2 papers), HER2/EGFR in Cancer Research (2 papers), RNA Research and Splicing (2 papers) and DNA Repair Mechanisms (1 paper). The work is most often cited by research in Genetics (238 citations), Cancer Research (72 citations), Oncology (122 citations), Reproductive Medicine (28 citations) and Endocrinology, Diabetes and Metabolism (42 citations). G. Trams has collaborated with scholars based in Germany and Belgium. Frequent co-authors include Heinrich Maass, H. Maaß, F. Lehmann, W. Jonat, H. Nowakowski, Mustafa Aydoğdu, H. Kubiński, Gordon Brandt, H. Brewitt and Marit Krohn. Their work appears in journals such as European Journal of Endocrinology, Archives of Gynecology and Obstetrics, Cancer, Hormone and Metabolic Research 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.

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