Marco Mottinelli

41 total papers · 536 total citations
23 papers, 381 citations indexed

About

Marco Mottinelli is a scholar working on Pharmacology, Molecular Biology and Biochemistry. According to data from OpenAlex, Marco Mottinelli has authored 23 papers receiving a total of 381 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Pharmacology, 10 papers in Molecular Biology and 9 papers in Biochemistry. Recurrent topics in Marco Mottinelli's work include Alkaloids: synthesis and pharmacology (11 papers), Traditional and Medicinal Uses of Annonaceae (9 papers) and Pharmacological Receptor Mechanisms and Effects (8 papers). Marco Mottinelli is often cited by papers focused on Alkaloids: synthesis and pharmacology (11 papers), Traditional and Medicinal Uses of Annonaceae (9 papers) and Pharmacological Receptor Mechanisms and Effects (8 papers). Marco Mottinelli collaborates with scholars based in United States, United Kingdom and Germany. Marco Mottinelli's co-authors include Christopher R. McCurdy, Francisco León, Lance Richard McMahon, Takato Hiranita, Avi Patel, Sebastiano Intagliata, Samuel Obeng, Shyam H. Kamble, Luis F. Restrepo and Erin C. Berthold and has published in prestigious journals such as Journal of the American Chemical Society, The FASEB Journal and Journal of Medicinal Chemistry.

In The Last Decade

Marco Mottinelli

23 papers receiving 370 citations

Author Peers

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

Author						Papers	Cites
Marco Mottinelli	171	171	151	144	59	23	381
Björn Lindeke	82 0.5×	177 1.0×	119 0.8×	54 0.4×	50 0.8×	28	429
Babak Borhan	97 0.6×	113 0.7×	145 1.0×	256 1.8×	44 0.7×	14	431
Horst P. Büch	83 0.5×	79 0.5×	129 0.9×	35 0.2×	52 0.9×	35	394
Sándor Berényi	253 1.5×	89 0.5×	102 0.7×	73 0.5×	67 1.1×	56	385
Yu‐Ming Chi	173 1.0×	97 0.6×	149 1.0×	46 0.3×	37 0.6×	15	362
Márton Richárd Szabó	118 0.7×	144 0.8×	147 1.0×	115 0.8×	32 0.5×	31	409
A. K. Kiang	115 0.7×	86 0.5×	165 1.1×	65 0.5×	25 0.4×	20	420
Li Kong	75 0.4×	119 0.7×	133 0.9×	32 0.2×	48 0.8×	15	352
Y. Saeki	95 0.6×	125 0.7×	172 1.1×	47 0.3×	25 0.4×	24	433
Jean‐Christophe Jullian	138 0.8×	46 0.3×	180 1.2×	63 0.4×	77 1.3×	25	408

Countries citing papers authored by Marco Mottinelli

Since Specialization

Citations

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

Fields of papers citing papers by Marco Mottinelli

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marco Mottinelli

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