Torsten Hopp

3.1k citations
81 papers · 2.4k indexed · 1 hit paper · h-index 19
Topics
Ultrasound Imaging and Elastography (37 papers)Medical Imaging Techniques and Applications (31 papers)AI in cancer detection (17 papers)

In The Last Decade

Torsten Hopp

77 papers receiving 2.4k citations

Hit Papers

Role of the Estrogen Receptor Coactivator AIB1 (SRC-3) an...20032026201020182003200400600

Peers

Torsten Hopp
Comparison fields: 5 of 117
  • Genetics 1.2k
  • Molecular Biology 1.1k
  • Oncology 850
  • Radiology, Nuclear Medicine and Imaging 450
  • Cancer Research 400
Replace Zhenhuan Zhang with:
Zhenhuan Zhang United States
Yan Peng United States
Michael Khan United Kingdom
Stella Pelengaris United Kingdom
Wentao Yang China
Alastair M. Thompson United States
Roger W. Blamey United Kingdom
Pierre Farmer Switzerland
Anita Mangia Italy
Gajanan V. Sherbet United Kingdom
Torsten Hopp relative to Zhenhuan Zhang United States Zhenhuan Zhang's profile →
Citations per field
00.5×2.9×
Zhenhuan Zhang · 1×
Citations per year

Countries citing papers authored by Torsten Hopp

Since Specialization
Citations

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

Fields of papers citing papers by Torsten Hopp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Torsten Hopp

This figure shows the co-authorship network connecting the top 25 collaborators of Torsten Hopp. A scholar is included among the top collaborators of Torsten Hopp based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Torsten Hopp. Torsten Hopp is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 0
3 0
4 0
5 18
6 21
7 1
8 44
9 5
10 54
11 10
12 26
13 4
14 13
15 33
16
Role of the Estrogen Receptor Coactivator AIB1 (SRC-3) and HER-2/neu in Tamoxifen Resistance in Breast Cancerbreakdown →
642
17 39
18 29
19 282
20 52

About Torsten Hopp

Torsten Hopp is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Computer Vision and Pattern Recognition, having authored 81 papers that have together received 2.4k indexed citations. Recurring topics across this work include Ultrasound Imaging and Elastography (37 papers), Medical Imaging Techniques and Applications (31 papers) and AI in cancer detection (17 papers). The work is most often cited by research in Genetics (1.2k citations), Oncology (850 citations) and Cancer Research (400 citations). Torsten Hopp has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Suzanne A.W. Fuqua, Susan G. Hilsenbeck, C. Kent Osborne, Nicole V. Ruiter, D. Craig Allred, Gary M. Clark, Gary C. Chamness, Jiemin Wong, V J Bardou and H. Gemmeke. Their work appears in journals such as Journal of Biological Chemistry, Molecular and Cellular Biology and JNCI Journal of the National Cancer Institute.

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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