Daniela Trog

19 papers receiving 352 citations

Peers

Daniela Trog
Comparison fields: 5 of 68
  • Reproductive Medicine 45
  • Obstetrics and Gynecology 33
  • Cancer Research 59
  • Genetics 38
  • Oncology 55
Replace Perry Maxwell with:
Perry Maxwell United Kingdom
Şeyda Karaveli Türkiye
Daniel Boehm Germany
J Jomain France
Roberta Nicoletti Italy
Cristina Bilbao Spain
Giuseppina Improta Italy
Ettie Piura Israel
Daniel Patterson United Kingdom
Lyudmila Velikokhatnaya United States
Daniela Trog relative to Perry Maxwell United Kingdom Perry Maxwell's profile →
Citations per field
00.5×4.2×
Perry Maxwell · 1×
Citations per year

Countries citing papers authored by Daniela Trog

Since Specialization
Citations

This map shows the geographic impact of Daniela Trog'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 Daniela Trog with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Trog more than expected).

Fields of papers citing papers by Daniela Trog

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniela Trog. 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 Daniela Trog. The network helps show where Daniela Trog may publish in the future.

Co-authors

The 25 scholars most cited alongside Daniela Trog, 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 Daniela Trog Line = papers co-authored together Daniela Trog links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201938
2 200538
3 200638
4 200636
5 201334
6 200625
7 199925
8 201621
9
Activation of genes inducing cell-cycle arrest and of increased DNA repair in the hearts of rats with early streptozotocin-induced diabetes mellitus.
200618
10 200518
11 200718
12 202012
13 200511
14 200510
15 20067
16
Irradiated breast cancer patients demonstrate subgroup-specific regularities in protein expression patterns of circulating leukocytes.
20086
17 20192
18 20052
19 20081
20 19981

About Daniela Trog

Daniela Trog is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Cancer Research, Surgery and Genetics, having authored 21 papers that have together received 361 indexed citations. Recurring topics across this work include Endometrial and Cervical Cancer Treatments (2 papers), Ubiquitin and proteasome pathways (2 papers), Endometriosis Research and Treatment (2 papers), Breast Cancer Treatment Studies (2 papers), Glioma Diagnosis and Treatment (2 papers), Estrogen and related hormone effects (1 paper), Advanced Proteomics Techniques and Applications (1 paper) and Radiomics and Machine Learning in Medical Imaging (1 paper). The work is most often cited by research in Reproductive Medicine (45 citations), Obstetrics and Gynecology (33 citations), Cancer Research (59 citations), Genetics (38 citations) and Oncology (55 citations). Daniela Trog has collaborated with scholars based in Germany, Switzerland and Netherlands. Frequent co-authors include Olga Golubnitschaja, Hans H. Schild, Kristina Yeghiazaryan, Arno Friedlein, Michael Fountoulakis, Monique Kaminski, Eva Wardelmann, Kerstin Rhiem, E. Beleites and U. Ulrich. Their work appears in journals such as Amino Acids, Strahlentherapie und Onkologie, International Journal of Gynecological Cancer, European Journal of Pharmacology and PROTEOMICS.

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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