M Paillard

24 total papers · 445 total citations
13 papers, 329 citations indexed

About

M Paillard is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, M Paillard has authored 13 papers receiving a total of 329 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Pulmonary and Respiratory Medicine and 4 papers in Oncology. Recurrent topics in M Paillard's work include Ion Transport and Channel Regulation (6 papers), Ion channel regulation and function (3 papers) and Hematological disorders and diagnostics (1 paper). M Paillard is often cited by papers focused on Ion Transport and Channel Regulation (6 papers), Ion channel regulation and function (3 papers) and Hematological disorders and diagnostics (1 paper). M Paillard collaborates with scholars based in France and United States. M Paillard's co-authors include Marc Froissart, Pascal Houillier, Régine Chambrey, Anne Blanchard, Jean Michel Achard, J Poggioli, Adrien May, R Demontis, A. Fournier and M Déchaux and has published in prestigious journals such as The Journal of Physiology, Kidney International and European Journal of Cancer.

In The Last Decade

M Paillard

13 papers receiving 321 citations

Author Peers

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

Author						Papers	Cites
M Paillard	198	100	80	59	57	13	329
Arnold Köckerling	287 1.4×	51 0.5×	55 0.7×	40 0.7×	93 1.6×	8	343
Daniel González-Núñez	160 0.8×	24 0.2×	36 0.5×	55 0.9×	32 0.6×	11	329
Allein Plain	155 0.8×	79 0.8×	69 0.9×	12 0.2×	67 1.2×	13	309
Nunzia Casamassima	155 0.8×	39 0.4×	92 1.1×	115 1.9×	39 0.7×	20	362
Mais Absi	149 0.8×	57 0.6×	47 0.6×	78 1.3×	27 0.5×	11	334
Nicole B. Kampik	158 0.8×	104 1.0×	115 1.4×	24 0.4×	40 0.7×	6	319
Wendy Beattie	117 0.6×	31 0.3×	31 0.4×	36 0.6×	42 0.7×	15	317
Chenye Zeng	81 0.4×	99 1.0×	24 0.3×	17 0.3×	14 0.2×	11	278
Jichao Wu	152 0.8×	85 0.8×	13 0.2×	27 0.5×	26 0.5×	15	348
Guan-Lin Lee	133 0.7×	36 0.4×	16 0.2×	42 0.7×	38 0.7×	12	352

Countries citing papers authored by M Paillard

Since Specialization

Citations

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

Fields of papers citing papers by M Paillard

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M Paillard

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