Daniela Scheurle

468 citations
9 papers · 386 · h-index 9

Impact in

Papers in

Daniela Scheurle

9 papers receiving 370 citations

Peers

Daniela Scheurle
Comparison fields: 5 of 96
  • Molecular Biology 218
  • Endocrine and Autonomic Systems 18
  • Cancer Research 38
  • Statistical and Nonlinear Physics 30
  • Aging 4
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Citations per field
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Citations per year

Countries citing papers authored by Daniela Scheurle

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Scheurle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside Daniela Scheurle, 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 Daniela Scheurle Line = papers co-authored together Daniela Scheurle links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1
Cancer gene discovery using digital differential display.
200095
2 200455
3
HER-2/neu expression in archival non-small cell lung carcinomas using FDA-approved Hercep test.
200050
4 200043
5 200141
6 200329
7
Down's syndrome-associated single minded gene as a novel tumor marker.
200327
8 199927
9
Bioinformatics-based discovery of a novel factor with apparent specificity to colon cancer.
200319

About Daniela Scheurle

Daniela Scheurle is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Ecology, Oncology and Endocrine and Autonomic Systems, having authored 9 papers that have together received 386 indexed citations. Recurring topics across this work include Genetic factors in colorectal cancer (2 papers), Physiological and biochemical adaptations (2 papers), Genetics, Bioinformatics, and Biomedical Research (1 paper), Ion channel regulation and function (1 paper), Colorectal Cancer Treatments and Studies (1 paper), Complex Systems and Time Series Analysis (1 paper), Time Series Analysis and Forecasting (1 paper) and Lipid Membrane Structure and Behavior (1 paper). The work is most often cited by research in Molecular Biology (218 citations), Endocrine and Autonomic Systems (18 citations), Cancer Research (38 citations), Statistical and Nonlinear Physics (30 citations) and Aging (4 citations). Daniela Scheurle has collaborated with scholars based in United States, Italy and Poland. Frequent co-authors include Ramaswamy Narayanan, Larry S. Liebovitch, Sarah Milton, Howard Prentice, Mohammad Jahanzeb, David Binninger, Peter L. Lutz, Michał Żochowski, Marian Rusek and Mohammad Jahanzeb. Their work appears in journals such as Methods, American Journal of Physiology-Regulatory, Integrative and Comparative Physiology, Journal of Cerebral Blood Flow & Metabolism, Complexity and Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.

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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