Andreas Turzynski

536 citations
16 papers · 392 · h-index 11

Impact in

Papers in

    • Melanoma and MAPK Pathways 2
    • PI3K/AKT/mTOR signaling in cancer 2
    • Glycosylation and Glycoproteins Research 1
    • HER2/EGFR in Cancer Research 3
    • Bone health and treatments 2

Andreas Turzynski

15 papers receiving 383 citations

Peers

Andreas Turzynski
Comparison fields: 5 of 72
  • Cancer Research 63
  • Oncology 113
  • Archeology 46
  • Molecular Biology 171
  • Biochemistry 17
Replace Susan Docherty with:
Susan Docherty United Kingdom
Amanda K. Miles United Kingdom
Xi-De Wang United States
Matteo Toller Italy
Zhenqing Ye United States
Genny Trigo‐Gonzalez Canada
Y.G. Yeung Hong Kong
Yeu Su Taiwan
Graham Craggs United Kingdom
Patricia McLoughlin United States
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Citations per field
00.5×3.3×
Susan Docherty · 1×
Citations per year

Countries citing papers authored by Andreas Turzynski

Since Specialization
Citations

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

Fields of papers citing papers by Andreas Turzynski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 199666
2 201050
3 200244
4 199041
5 199439
6 199832
7 200830
8 202229
9 199523
10 199310
11 199910
12 19999
13 20075
14 19942
15 20131
16 20221

About Andreas Turzynski

Andreas Turzynski is a scholar working on Molecular Biology, Oncology, Radiology, Nuclear Medicine and Imaging, Endocrinology, Diabetes and Metabolism and Cellular and Molecular Neuroscience, having authored 16 papers that have together received 392 indexed citations. Recurring topics across this work include HER2/EGFR in Cancer Research (3 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Melanoma and MAPK Pathways (2 papers), Bone health and treatments (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers), Sarcoma Diagnosis and Treatment (1 paper), Glycosylation and Glycoproteins Research (1 paper) and Hyperglycemia and glycemic control in critically ill and hospitalized patients (1 paper). The work is most often cited by research in Cancer Research (63 citations), Oncology (113 citations), Archeology (46 citations), Molecular Biology (171 citations) and Biochemistry (17 citations). Andreas Turzynski has collaborated with scholars based in Germany, United States and Iran. Frequent co-authors include H. W. Schütz, S. Ritz, Rolf Mentlein, Axel Hollmann, Manfred Dietel, Kai Wiechen, Steffen Hauptmann, Antje Siegert, Carsten Denkert and Markus Müller. Their work appears in journals such as Forensic Science International, Journal of Clinical Oncology, Brain Research, Clinical & Experimental Metastasis and Recent results in cancer research.

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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