M. Marconi

424 total citations
8 papers, 341 citations indexed

About

M. Marconi is a scholar working on Biological Psychiatry, Behavioral Neuroscience and Molecular Biology. According to data from OpenAlex, M. Marconi has authored 8 papers receiving a total of 341 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Biological Psychiatry, 6 papers in Behavioral Neuroscience and 2 papers in Molecular Biology. Recurrent topics in M. Marconi's work include Stress Responses and Cortisol (6 papers), Tryptophan and brain disorders (6 papers) and Neuroendocrine regulation and behavior (2 papers). M. Marconi is often cited by papers focused on Stress Responses and Cortisol (6 papers), Tryptophan and brain disorders (6 papers) and Neuroendocrine regulation and behavior (2 papers). M. Marconi collaborates with scholars based in Italy, United States and New Zealand. M. Marconi's co-authors include Maria M. Flocco, Carmela Speciale, Stefan Knapp, Mario Varasi, Robert Schwarcz, Nikolaus Schiering, Jean Cui, Luisa Rusconi, Cinzia Cristiani and Rita Perego and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Molecular Biology and European Journal of Pharmacology.

In The Last Decade

M. Marconi

8 papers receiving 332 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
M. Marconi Italy 7 162 136 92 54 44 8 341
Károly Fazekas Hungary 8 210 1.3× 27 0.2× 8 0.1× 27 0.5× 225 5.1× 9 540
Hiroko Tonai‐Kachi Japan 8 200 1.2× 47 0.3× 31 0.3× 2 0.0× 21 0.5× 8 388
Georgios Pantouris United States 14 110 0.7× 142 1.0× 55 0.6× 2 0.0× 65 1.5× 32 597
Khaled Alganem United States 12 155 1.0× 37 0.3× 13 0.1× 9 0.2× 14 0.3× 24 283
Hubert Astner Italy 11 367 2.3× 45 0.3× 37 0.4× 2 0.0× 7 0.2× 11 537
Miho Shukuri Japan 10 105 0.6× 61 0.4× 8 0.1× 4 0.1× 43 1.0× 19 393
Ulf Märtens Sweden 11 151 0.9× 9 0.1× 10 0.1× 8 0.1× 12 0.3× 16 268
Sandra Pietsch United Kingdom 10 205 1.3× 95 0.7× 27 0.3× 2 0.0× 27 0.6× 11 373
Yuanzhang Zhou China 11 227 1.4× 111 0.8× 43 0.5× 11 0.3× 15 443
Chunhong Yan United States 4 143 0.9× 111 0.8× 24 0.3× 2 0.0× 52 1.2× 4 247

Countries citing papers authored by M. Marconi

Since Specialization
Citations

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

Fields of papers citing papers by M. Marconi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Marconi

This figure shows the co-authorship network connecting the top 25 collaborators of M. Marconi. A scholar is included among the top collaborators of M. Marconi 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. Marconi. M. Marconi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Schiering, Nikolaus, Stefan Knapp, M. Marconi, et al.. (2003). Crystal structure of the tyrosine kinase domain of the hepatocyte growth factor receptor c-Met and its complex with the microbial alkaloid K-252a. Proceedings of the National Academy of Sciences. 100(22). 12654–12659. 118 indexed citations
2.
Knapp, Stefan, Moreno Zamai, Daniele Volpi, et al.. (2001). Thermodynamics of the high-affinity interaction of TCF4 with β-catenin. Journal of Molecular Biology. 306(5). 1179–1189. 55 indexed citations
3.
Pevarello, Paolo, Antonio Pillan, Vittorio Pinciroli, et al.. (1999). Pyrrolo[3,2-c]quinoline derivatives: a new class of kynurenine-3-hydroxylase inhibitors. Il Farmaco. 54(3). 152–160. 17 indexed citations
4.
Salvati, Patricia, et al.. (1999). Brain concentrations of kynurenic acid after a systemic neuroprotective dose in the gerbil model of global ischemia. Progress in Neuro-Psychopharmacology and Biological Psychiatry. 23(4). 741–752. 33 indexed citations
5.
Caccia, Carla, Carmela Speciale, Laura Raimondi, et al.. (1996). Modulation of Extracellular Kynurenic Acid Content by Excitatory Amino Acids in Primary Cultures of Rat Astrocytes. Advances in experimental medicine and biology. 398. 273–276. 15 indexed citations
6.
Giordani, Antonio, Michela Cini, M. Marconi, et al.. (1996). Benzoylalanine Analogues as Inhibitors of Rat Brain Kynureninase and Kynurenine 3-Hydroxylase. Advances in experimental medicine and biology. 398. 499–505. 3 indexed citations
7.
Speciale, Carmela, et al.. (1996). (R,S)-3,4-dichlorobenzoylalanine (FCE 28833A) causes a large and persistent increase in brain kynurenic acid levels in rats. European Journal of Pharmacology. 315(3). 263–267. 86 indexed citations
8.
Giordani, Antonio, et al.. (1996). Enantiospecific Synthesis and in vitro Activity of Selective Inhibitors of Rat Brain Kynureninase and Kynurenine-3-Hydroxylase. Advances in experimental medicine and biology. 398. 531–534. 14 indexed citations

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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