Maı̈ Panchal

27 total papers · 514 total citations
17 papers, 423 citations indexed

About

Maı̈ Panchal is a scholar working on Molecular Biology, Physiology and Surgery. According to data from OpenAlex, Maı̈ Panchal has authored 17 papers receiving a total of 423 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 8 papers in Physiology and 4 papers in Surgery. Recurrent topics in Maı̈ Panchal's work include Alzheimer's disease research and treatments (8 papers), Cholesterol and Lipid Metabolism (3 papers) and Peptidase Inhibition and Analysis (3 papers). Maı̈ Panchal is often cited by papers focused on Alzheimer's disease research and treatments (8 papers), Cholesterol and Lipid Metabolism (3 papers) and Peptidase Inhibition and Analysis (3 papers). Maı̈ Panchal collaborates with scholars based in France, Switzerland and United Kingdom. Maı̈ Panchal's co-authors include Charles Duyckaerts, Adina N. Lazar, Jack‐Christophe Cossec, Catherine Marquer, Olivier Laprévôte, David Touboul, Alain Brunelle, Jacqueline Loeper, Denis Pompon and Nicolas Desbenoît and has published in prestigious journals such as Biochemistry, Journal of Lipid Research and Archives of Biochemistry and Biophysics.

In The Last Decade

Maı̈ Panchal

16 papers receiving 418 citations

Author Peers

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

Author						Papers	Cites
Maı̈ Panchal	205	190	76	64	53	17	423
Martin Labelle	122 0.6×	96 0.5×	27 0.4×	53 0.8×	61 1.2×	15	434
Lori M. Evans	167 0.8×	107 0.6×	13 0.2×	34 0.5×	24 0.5×	12	447
A. R. Guimaraes	93 0.5×	103 0.5×	29 0.4×	20 0.3×	36 0.7×	17	486
Shumpei Sato	122 0.6×	85 0.4×	31 0.4×	19 0.3×	7 0.1×	20	399
Jennifer Cable	138 0.7×	38 0.2×	19 0.3×	21 0.3×	17 0.3×	15	425
Rodrigo Cataldi	85 0.4×	119 0.6×	13 0.2×	61 1.0×	111 2.1×	13	385
Anne F. Russell	173 0.8×	32 0.2×	35 0.5×	22 0.3×	9 0.2×	28	387
Stephanie Villarreal	73 0.4×	126 0.7×	46 0.6×	20 0.3×	85 1.6×	10	462
Melissa M. Budelier	228 1.1×	62 0.3×	11 0.1×	13 0.2×	18 0.3×	23	406
Christopher D. Funderburk	130 0.6×	72 0.4×	76 1.0×	18 0.3×	5 0.1×	11	398

Countries citing papers authored by Maı̈ Panchal

Since Specialization

Citations

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

Fields of papers citing papers by Maı̈ Panchal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maı̈ Panchal

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