Debra Ehrlich

53 total papers · 858 total citations
22 papers, 348 citations indexed

About

Debra Ehrlich is a scholar working on Neurology, Cellular and Molecular Neuroscience and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Debra Ehrlich has authored 22 papers receiving a total of 348 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Neurology, 10 papers in Cellular and Molecular Neuroscience and 4 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Debra Ehrlich's work include Neurological disorders and treatments (11 papers), Parkinson's Disease Mechanisms and Treatments (8 papers) and Botulinum Toxin and Related Neurological Disorders (4 papers). Debra Ehrlich is often cited by papers focused on Neurological disorders and treatments (11 papers), Parkinson's Disease Mechanisms and Treatments (8 papers) and Botulinum Toxin and Related Neurological Disorders (4 papers). Debra Ehrlich collaborates with scholars based in United States and Chile. Debra Ehrlich's co-authors include Mark Hallett, Ruth H. Walker, Russell R. Lonser, Krystof S. Bankiewicz, Codrin Lungu, John D. Heiss, Peter Herscovitch, Kareem A. Zaghloul, Hong Li and Stella Elkabes and has published in prestigious journals such as SHILAP Revista de lepidopterología, Brain and Neurology.

In The Last Decade

Debra Ehrlich

21 papers receiving 344 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Debra Ehrlich	167	147	108	56	49	22	348
Yu Alex Zhang	107 0.6×	128 0.9×	152 1.4×	52 0.9×	37 0.8×	20	359
B Echenne	142 0.9×	107 0.7×	79 0.7×	24 0.4×	46 0.9×	23	319
Milena Janković	150 0.9×	89 0.6×	105 1.0×	79 1.4×	29 0.6×	37	330
Yoshio Morimatsu	114 0.7×	76 0.5×	69 0.6×	89 1.6×	25 0.5×	33	336
Gunnar Sanner	101 0.6×	103 0.7×	84 0.8×	43 0.8×	62 1.3×	22	371
Javier Castro‐Hernández	90 0.5×	150 1.0×	120 1.1×	24 0.4×	40 0.8×	19	368
J Bèrciano	80 0.5×	133 0.9×	61 0.6×	85 1.5×	23 0.5×	25	355
T Mannen	178 1.1×	102 0.7×	78 0.7×	18 0.3×	18 0.4×	32	338
María Elena Erro	193 1.2×	83 0.6×	72 0.7×	64 1.1×	31 0.6×	28	359
Thodoros Papapetropoulos	118 0.7×	92 0.6×	105 1.0×	41 0.7×	18 0.4×	13	353

Countries citing papers authored by Debra Ehrlich

Since Specialization

Citations

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

Fields of papers citing papers by Debra Ehrlich

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Debra Ehrlich

This figure shows the co-authorship network connecting the top 25 collaborators of Debra Ehrlich. A scholar is included among the top collaborators of Debra Ehrlich 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 Debra Ehrlich. Debra Ehrlich is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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