Pierre D’Arbigny

20 total papers · 577 total citations
19 papers, 450 citations indexed

About

Pierre D’Arbigny is a scholar working on Pathology and Forensic Medicine, Pediatrics, Perinatology and Child Health and Molecular Biology. According to data from OpenAlex, Pierre D’Arbigny has authored 19 papers receiving a total of 450 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Pathology and Forensic Medicine, 4 papers in Pediatrics, Perinatology and Child Health and 3 papers in Molecular Biology. Recurrent topics in Pierre D’Arbigny's work include Cardiac Ischemia and Reperfusion (5 papers), Drug Transport and Resistance Mechanisms (3 papers) and Epilepsy research and treatment (3 papers). Pierre D’Arbigny is often cited by papers focused on Cardiac Ischemia and Reperfusion (5 papers), Drug Transport and Resistance Mechanisms (3 papers) and Epilepsy research and treatment (3 papers). Pierre D’Arbigny collaborates with scholars based in France, United States and United Kingdom. Pierre D’Arbigny's co-authors include J Séguin, Marcel Culcasi, Sylvia Pietri, Frederic Schwartz, F Ohanna, Jean‐Marc Kamenka, Manuel Gaviria, Katy Drieu, Alain Privat and Alain Lieury and has published in prestigious journals such as Brain Research, Free Radical Biology and Medicine and International Journal of Pharmaceutics.

In The Last Decade

Pierre D’Arbigny

19 papers receiving 425 citations

Author Peers

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

Author						Papers	Cites
Pierre D’Arbigny	142	120	114	102	84	19	450
Sherin Antony	58 0.4×	86 0.7×	70 0.6×	50 0.5×	77 0.9×	18	406
Hanfei Sang	54 0.4×	60 0.5×	119 1.0×	103 1.0×	100 1.2×	25	497
Shu-Ying Chung	138 1.0×	52 0.4×	46 0.4×	105 1.0×	165 2.0×	12	498
Jayanarayanan Sadanandan	81 0.6×	65 0.5×	74 0.6×	41 0.4×	91 1.1×	22	426
Alba I. Rodríguez	123 0.9×	78 0.7×	33 0.3×	28 0.3×	180 2.1×	15	547
Huang Nie	25 0.2×	74 0.6×	72 0.6×	109 1.1×	104 1.2×	16	530
Sisi Li	71 0.5×	99 0.8×	45 0.4×	34 0.3×	126 1.5×	26	515
Binxiao Su	32 0.2×	65 0.5×	154 1.4×	86 0.8×	109 1.3×	24	525
Qiaoyun Wu	125 0.9×	53 0.4×	51 0.4×	116 1.1×	152 1.8×	20	452
Vedat Ali Yürekli	31 0.2×	84 0.7×	125 1.1×	49 0.5×	90 1.1×	25	512

Countries citing papers authored by Pierre D’Arbigny

Since Specialization

Citations

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

Fields of papers citing papers by Pierre D’Arbigny

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pierre D’Arbigny. 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 Pierre D’Arbigny. The network helps show where Pierre D’Arbigny may publish in the future.

Co-authorship network of co-authors of Pierre D’Arbigny

This figure shows the co-authorship network connecting the top 25 collaborators of Pierre D’Arbigny. A scholar is included among the top collaborators of Pierre D’Arbigny 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 Pierre D’Arbigny. Pierre D’Arbigny 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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