Pascale Dauch

17 total papers · 497 total citations
13 papers, 416 citations indexed

About

Pascale Dauch is a scholar working on Cellular and Molecular Neuroscience, Oncology and Molecular Biology. According to data from OpenAlex, Pascale Dauch has authored 13 papers receiving a total of 416 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cellular and Molecular Neuroscience, 9 papers in Oncology and 8 papers in Molecular Biology. Recurrent topics in Pascale Dauch's work include Neuropeptides and Animal Physiology (10 papers), Peptidase Inhibition and Analysis (9 papers) and Biochemical and Structural Characterization (3 papers). Pascale Dauch is often cited by papers focused on Neuropeptides and Animal Physiology (10 papers), Peptidase Inhibition and Analysis (9 papers) and Biochemical and Structural Characterization (3 papers). Pascale Dauch collaborates with scholars based in France, Japan and Canada. Pascale Dauch's co-authors include Frédéric Checler, Jean‐Pierre Vincent, Bruno Vincent, Yoshinori Masuo, Karine Ancolio, Philippe Marambaud, Hélène Barelli, Alain Beaudet, Vincent Dive and Jean Pierre Vincent and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Neuroscience and Biochemical Journal.

In The Last Decade

Pascale Dauch

13 papers receiving 412 citations

Author Peers

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

Author						Papers	Cites
Pascale Dauch	272	216	215	92	39	13	416
Koon‐Sea Hui	252 0.9×	177 0.8×	261 1.2×	107 1.2×	9 0.2×	30	463
Natalia Fernández	95 0.3×	99 0.5×	333 1.5×	57 0.6×	31 0.8×	25	466
Christopher MacKenzie	202 0.7×	50 0.2×	220 1.0×	41 0.4×	22 0.6×	16	435
Victor Z. Chong	177 0.7×	75 0.3×	238 1.1×	41 0.4×	9 0.2×	13	407
Tomoo Tokime	144 0.5×	78 0.4×	269 1.3×	38 0.4×	21 0.5×	12	465
Victoria Youngblood	144 0.5×	96 0.4×	227 1.1×	89 1.0×	31 0.8×	13	472
Serena Cuboni	90 0.3×	52 0.2×	244 1.1×	51 0.6×	15 0.4×	15	494
Wayne Stallaert	183 0.7×	61 0.3×	364 1.7×	37 0.4×	13 0.3×	15	476
Yvonne Lewis	117 0.4×	51 0.2×	155 0.7×	73 0.8×	13 0.3×	17	398
Surabhi Bhatia	62 0.2×	67 0.3×	217 1.0×	151 1.6×	13 0.3×	16	443

Countries citing papers authored by Pascale Dauch

Since Specialization

Citations

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

Fields of papers citing papers by Pascale Dauch

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pascale Dauch

This figure shows the co-authorship network connecting the top 25 collaborators of Pascale Dauch. A scholar is included among the top collaborators of Pascale Dauch 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 Pascale Dauch. Pascale Dauch 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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