Timo Schinköthe

1.8k citations
48 papers · 1.2k · h-index 18

Impact in

Papers in

    • HER2/EGFR in Cancer Research 3
    • Chronic Lymphocytic Leukemia Research 5
    • Mesenchymal stem cell research 4

Timo Schinköthe

47 papers receiving 1.2k citations

Peers

Timo Schinköthe
Comparison fields: 5 of 98
  • Genetics 547
  • Pathology and Forensic Medicine 210
  • Developmental Neuroscience 46
  • Immunology 228
  • Urology 47
Replace Daniele Reverberi with:
Daniele Reverberi Italy
Yanfeng Wu China
Soufiane Ghannam France
Basile Stamatopoulos Belgium
Joëlle Dulong France
Robert Pytlík Czechia
Chiara Capelli Italy
Rosa María Pérez Yáñez Spain
N. Mathieu France
André Gothot Belgium
Timo Schinköthe relative to Daniele Reverberi Italy Daniele Reverberi's profile →
Citations per field
00.5×2.7×
Daniele Reverberi · 1×
Citations per year

Countries citing papers authored by Timo Schinköthe

Since Specialization
Citations

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

Fields of papers citing papers by Timo Schinköthe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006202
2 2008160
3 2005152
4 200693
5 200668
6 200065
7
Human angiogenin fused to human CD30 ligand (Ang-CD30L) exhibits specific cytotoxicity against CD30-positive lymphoma.
200157
8 202038
9 200037
10 200731
11 200629
12 200127
13 200826
14 200724
15 200521
16 200519
17 200519
18 202317
19 200013
20 202311

About Timo Schinköthe

Timo Schinköthe is a scholar working on Oncology, Genetics, Immunology, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 48 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Breast Cancer Therapies (6 papers), Lymphoma Diagnosis and Treatment (5 papers), Chronic Lymphocytic Leukemia Research (5 papers), Mesenchymal stem cell research (4 papers), Tissue Engineering and Regenerative Medicine (4 papers), Breast Cancer Treatment Studies (3 papers), HER2/EGFR in Cancer Research (3 papers) and Electrospun Nanofibers in Biomedical Applications (3 papers). The work is most often cited by research in Genetics (547 citations), Pathology and Forensic Medicine (210 citations), Developmental Neuroscience (46 citations), Immunology (228 citations) and Urology (47 citations). Timo Schinköthe has collaborated with scholars based in Germany, Switzerland and Argentina. Frequent co-authors include Annette Schmidt, Wilhelm Bloch, Peter Staib, Klara Brixius, Franz‐Josef Klinz, Andreas Engert, Robert H. G. Schwinger, Uwe Mehlhorn, Stefan Barth and Dennis Ladage. Their work appears in journals such as Journal of Clinical Oncology, Blood, European Journal of Cell Biology, Breast Care and Annals of Oncology.

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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