Daniela Scheurle

468 total citations
9 papers, 386 citations indexed

About

Daniela Scheurle is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Ecology. According to data from OpenAlex, Daniela Scheurle has authored 9 papers receiving a total of 386 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 2 papers in Pathology and Forensic Medicine and 2 papers in Ecology. Recurrent topics in Daniela Scheurle's work include Physiological and biochemical adaptations (2 papers), Genetic factors in colorectal cancer (2 papers) and Glycosylation and Glycoproteins Research (1 paper). Daniela Scheurle is often cited by papers focused on Physiological and biochemical adaptations (2 papers), Genetic factors in colorectal cancer (2 papers) and Glycosylation and Glycoproteins Research (1 paper). Daniela Scheurle collaborates with scholars based in United States, Poland and Bulgaria. Daniela Scheurle's co-authors include Ramaswamy Narayanan, Larry S. Liebovitch, Sarah Milton, Howard Prentice, David Binninger, Mohammad Jahanzeb, Peter L. Lutz, Michał Żochowski, Marian Rusek and Mohammad Jahanzeb and has published in prestigious journals such as Journal of Cerebral Blood Flow & Metabolism, American Journal of Physiology-Regulatory, Integrative and Comparative Physiology and Methods.

In The Last Decade

Daniela Scheurle

9 papers receiving 370 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Daniela Scheurle United States	9	218	55	55	42	39	9	386
Thomas Quail Canada	8	255 1.2×	52 0.9×	49 0.9×	9 0.2×	13 0.3×	9	420
Ángela del Pozo Spain	13	440 2.0×	18 0.3×	159 2.9×	6 0.1×	23 0.6×	30	588
Wai Lim Ku United States	13	783 3.6×	73 1.3×	47 0.9×	5 0.1×	37 0.9×	24	973
Juha Kesseli Finland	10	237 1.1×	28 0.5×	35 0.6×	3 0.1×	30 0.8×	34	351
Lee Hood United States	14	406 1.9×	51 0.9×	139 2.5×	11 0.3×	63 1.6×	19	724
Mesude Bicak United States	9	134 0.6×	20 0.4×	31 0.6×	28 0.7×	54 1.4×	18	325
Sunit Maity India	6	681 3.1×	57 1.0×	206 3.7×	9 0.2×	17 0.4×	10	817
Kate E. Williamson United Kingdom	15	309 1.4×	112 2.0×	22 0.4×	10 0.2×	68 1.7×	30	730
Larisa Venkova Russia	12	353 1.6×	37 0.7×	26 0.5×	8 0.2×	55 1.4×	18	603
Guosheng Han China	14	379 1.7×	47 0.9×	26 0.5×	7 0.2×	18 0.5×	44	547

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-authorship network of co-authors of Daniela Scheurle

This figure shows the co-authorship network connecting the top 25 collaborators of Daniela Scheurle. A scholar is included among the top collaborators of Daniela Scheurle based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniela Scheurle. Daniela Scheurle is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

1.

Prentice, Howard, Sarah Milton, Daniela Scheurle, & Peter L. Lutz. (2004). The Upregulation of Cognate and Inducible Heat Shock Proteins in the Anoxic Turtle Brain. Journal of Cerebral Blood Flow & Metabolism. 24(7). 826–828. 55 indexed citations

2.

Scheurle, Daniela, et al.. (2003). Down's syndrome-associated single minded gene as a novel tumor marker.. PubMed. 22(6A). 3149–57. 27 indexed citations

3.

Scheurle, Daniela, et al.. (2003). Bioinformatics-based discovery of a novel factor with apparent specificity to colon cancer.. PubMed. 16(4). 239–48. 19 indexed citations

4.

Prentice, Howard, Sarah Milton, Daniela Scheurle, & Peter Lutz. (2003). Gene transcription of brain voltage-gated potassium channels is reversibly regulated by oxygen supply. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology. 285(6). R1317–R1321. 29 indexed citations

5.

Scheurle, Daniela, et al.. (2001). Fractal Methods to Analyze Ion Channel Kinetics. Methods. 24(4). 359–375. 41 indexed citations

6.

Scheurle, Daniela, et al.. (2000). HER-2/neu expression in archival non-small cell lung carcinomas using FDA-approved Hercep test.. PubMed. 20(3B). 2091–6. 50 indexed citations

7.

Liebovitch, Larry S. & Daniela Scheurle. (2000). Two lessons from fractals and chaos. Complexity. 5(4). 34–43. 43 indexed citations

8.

Scheurle, Daniela, et al.. (2000). Cancer gene discovery using digital differential display.. PubMed. 60(15). 4037–43. 95 indexed citations

9.

Liebovitch, Larry S., Michał Żochowski, Daniela Scheurle, et al.. (1999). Nonlinear properties of cardiac rhythm abnormalities. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 59(3). 3312–3319. 27 indexed citations

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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