Miriam Schenk

400 citations
11 papers · 299 · h-index 7

Impact in

    • Cancer Cells and Metastasis
    • Pancreatic and Hepatic Oncology Research
    • Cancer Genomics and Diagnostics

Papers in

    • Pancreatic and Hepatic Oncology Research 3
    • Cancer Cells and Metastasis 3
    • Peptidase Inhibition and Analysis 1
    • Chromatin Remodeling and Cancer 1

Miriam Schenk

9 papers receiving 297 citations

Peers

Miriam Schenk
Comparison fields: 5 of 65
  • Oncology 148
  • Cancer Research 55
  • Toxicology 6
  • Biomaterials 20
  • Molecular Biology 96
Replace Katia Cheaito with:
Katia Cheaito Lebanon
Gizem Efe United States
Xing Xiao China
J. Kebbeh Darpolor United States
Maya Gershkovitz Israel
Benjamin Bian France
Shayahati Bieerkehazhi United States
Shuangshuang Lu China
Ehsan Bonyadi Rad Austria
Matthew J. Munro New Zealand
Miriam Schenk relative to Katia Cheaito Lebanon Katia Cheaito's profile →
Citations per field
00.5×4.5×
Katia Cheaito · 1×
Citations per year

Countries citing papers authored by Miriam Schenk

Since Specialization
Citations

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

Fields of papers citing papers by Miriam Schenk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 2022111
2 201461
3 201954
4 201628
5 201920
6 201712
7 20227
8 20214
9 20132
10 20240
11 20170

About Miriam Schenk

Miriam Schenk is a scholar working on Oncology, Molecular Biology, Surgery, Pathology and Forensic Medicine and Animal Science and Zoology, having authored 11 papers that have together received 299 indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (3 papers), Cancer Cells and Metastasis (3 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (2 papers), Diabetes Management and Research (1 paper), Cancer Mechanisms and Therapy (1 paper), Cancer Genomics and Diagnostics (1 paper), Peptidase Inhibition and Analysis (1 paper) and Chromatin Remodeling and Cancer (1 paper). The work is most often cited by research in Oncology (148 citations), Cancer Research (55 citations), Toxicology (6 citations), Biomaterials (20 citations) and Molecular Biology (96 citations). Miriam Schenk has collaborated with scholars based in Germany, Italy and China. Frequent co-authors include Nathalia A. Giese, Thilo Welsch, Oliver Strobel, Markus W. Büchler, Julia Jabs, Berk Aykut, Christian Conrad, Solange Le Blanc, Teresa G. Krieger and Roland Eils. Their work appears in journals such as Pancreatology, Cancer Letters, Endocrine Connections, International Journal of Oncology and Journal of Tissue Engineering.

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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