Hannelore Schmidt

52 papers receiving 1.1k citations

Peers

Hannelore Schmidt
Comparison fields: 5 of 92
  • Oncology 430
  • Pulmonary and Respiratory Medicine 340
  • Cancer Research 142
  • Molecular Biology 542
  • Neurology 96
Replace Hisatsugu Goto with:
Hisatsugu Goto Japan
Malachi J. Flanagan United States
Hirohisa Hirabayashi Japan
Brian Lu United States
G. N. Brodie Australia
T Nishihira Japan
Koji Teramoto Japan
Pedro Lastres Spain
Kuisheng Liu China
Manisha R. Shah United States
Hannelore Schmidt relative to Hisatsugu Goto Japan Hisatsugu Goto's profile →
Citations per field
00.5×4.6×
Hisatsugu Goto · 1×
Citations per year

Countries citing papers authored by Hannelore Schmidt

Since Specialization
Citations

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

Fields of papers citing papers by Hannelore Schmidt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200498
2 200579
3 200177
4 200172
5
Elevated expression level of survivin protein in soft-tissue sarcomas is a strong independent predictor of survival.
200369
6 199864
7 199864
8 200051
9 200550
10 200445
11 199540
12 199635
13 200532
14 200131
15 199830
16 199727
17 200025
18 200321
19 197120
20
Transfection with mdm2-antisense or wtp53 results in radiosensitization and an increased apoptosis of a soft tissue sarcoma cell line.
200118

About Hannelore Schmidt

Hannelore Schmidt is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Molecular Biology, Cancer Research and Surgery, having authored 54 papers that have together received 1.2k indexed citations. Recurring topics across this work include Sarcoma Diagnosis and Treatment (21 papers), Cancer-related Molecular Pathways (16 papers), Cancer Research and Treatments (6 papers), RNA Interference and Gene Delivery (5 papers), Colorectal and Anal Carcinomas (5 papers), Cell death mechanisms and regulation (5 papers), Cancer Genomics and Diagnostics (4 papers) and Neurofibromatosis and Schwannoma Cases (3 papers). The work is most often cited by research in Oncology (430 citations), Pulmonary and Respiratory Medicine (340 citations), Cancer Research (142 citations), Molecular Biology (542 citations) and Neurology (96 citations). Hannelore Schmidt has collaborated with scholars based in Germany, United States and Canada. Frequent co-authors include Helge Täubert, Matthias Bache, Peter Würl, Axel Meye, Frank Bartel, Matthias Kappler, Karen Blümke, Christine Lautenschläger, Hans-Jürgen Holzhausen and Raoul Hinze. Their work appears in journals such as Cancer Letters, International Journal of Cancer, Journal of Cancer Research and Clinical Oncology, Modern Pathology and International Journal of Legal Medicine.

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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