Frank Marí

1.1k total citations
52 papers, 908 citations indexed

About

Frank Marí is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Organic Chemistry. According to data from OpenAlex, Frank Marí has authored 52 papers receiving a total of 908 indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Molecular Biology, 9 papers in Cellular and Molecular Neuroscience and 7 papers in Organic Chemistry. Recurrent topics in Frank Marí's work include Nicotinic Acetylcholine Receptors Study (32 papers), Receptor Mechanisms and Signaling (19 papers) and Ion channel regulation and function (14 papers). Frank Marí is often cited by papers focused on Nicotinic Acetylcholine Receptors Study (32 papers), Receptor Mechanisms and Signaling (19 papers) and Ion channel regulation and function (14 papers). Frank Marí collaborates with scholars based in United States, Australia and Germany. Frank Marí's co-authors include Carolina Möller, Gregg B. Fields, William E. McEwen, Paul M. Lahti, David J. Adams, Pavinee Chinachoti, Steve Peigneur, Jan Tytgat, Shiva N. Kompella and Carlos A. Gonzalez and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and PLoS ONE.

In The Last Decade

Frank Marí

52 papers receiving 886 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Frank Marí United States 18 599 144 113 99 71 52 908
Walter Märki Switzerland 15 495 0.8× 46 0.3× 186 1.6× 76 0.8× 43 0.6× 21 777
Massimo Bellanda Italy 18 629 1.1× 135 0.9× 88 0.8× 33 0.3× 73 1.0× 43 1.0k
Dmitry A. Knorre Russia 19 996 1.7× 42 0.3× 101 0.9× 139 1.4× 15 0.2× 67 1.3k
Laure Guilhaudis France 19 393 0.7× 55 0.4× 222 2.0× 85 0.9× 20 0.3× 36 819
Alexander S. Paramonov Russia 19 846 1.4× 144 1.0× 136 1.2× 104 1.1× 10 0.1× 72 1.0k
Michelle Grilley United States 17 1.2k 2.1× 107 0.7× 127 1.1× 148 1.5× 9 0.1× 25 1.5k
László Béress Germany 20 1.0k 1.7× 64 0.4× 265 2.3× 392 4.0× 35 0.5× 37 1.6k
Michelle Comte Switzerland 16 795 1.3× 37 0.3× 191 1.7× 35 0.4× 48 0.7× 21 1.0k
A. Previeŕo France 17 586 1.0× 146 1.0× 124 1.1× 40 0.4× 22 0.3× 63 828
Zygmunt Wasylewski Poland 18 675 1.1× 63 0.4× 115 1.0× 131 1.3× 16 0.2× 56 903

Countries citing papers authored by Frank Marí

Since Specialization
Citations

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

Fields of papers citing papers by Frank Marí

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Frank Marí

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

All Works

20 of 20 papers shown
1.
Neely, Benjamin A., et al.. (2021). Proteogenomic Assessment of Intraspecific Venom Variability: Molecular Adaptations in the Venom Arsenal of Conus purpurascens. Molecular & Cellular Proteomics. 20. 100100–100100. 4 indexed citations
2.
Oleinikov, Andrew V., et al.. (2020). Conus venom fractions inhibit the adhesion of Plasmodium falciparum erythrocyte membrane protein 1 domains to the host vascular receptors. Journal of Proteomics. 234. 104083–104083. 6 indexed citations
3.
Möller, Carolina, et al.. (2018). Definition of the R-superfamily of conotoxins: Structural convergence of helix-loop-helix peptidic scaffolds. Peptides. 107. 75–82. 8 indexed citations
4.
Himaya, S.W.A., Frank Marí, & Richard J. Lewis. (2018). Accelerated proteomic visualization of individual predatory venoms of Conus purpurascens reveals separately evolved predation-evoked venom cabals. Scientific Reports. 8(1). 330–330. 14 indexed citations
5.
Möller, Carolina, et al.. (2017). Structural plasticity of mini‐M conotoxins – expression of all mini‐M subtypes by Conus regius. FEBS Journal. 285(5). 887–902. 9 indexed citations
6.
7.
Keating, Patricia, et al.. (2017). Effects of α-conotoxin ImI on TNF-α, IL-8 and TGF-β expression by human macrophage-like cells derived from THP-1 pre-monocytic leukemic cells. Scientific Reports. 7(1). 12742–12742. 10 indexed citations
8.
Clark, Evan, et al.. (2017). In vivo and in vitro testing of native α-conotoxins from the injected venom of Conus purpurascens. Neuropharmacology. 127. 253–259. 10 indexed citations
9.
Akcan, Muharrem, Richard J. Clark, Norelle L. Daly, et al.. (2015). Transforming conotoxins into cyclotides: Backbone cyclization of P‐superfamily conotoxins. Biopolymers. 104(6). 682–692. 11 indexed citations
10.
Kompella, Shiva N., Andrew Hung, Richard J. Clark, Frank Marí, & David J. Adams. (2014). Alanine Scan of α-Conotoxin RegIIA Reveals a Selective α3β4 Nicotinic Acetylcholine Receptor Antagonist. Journal of Biological Chemistry. 290(2). 1039–1048. 38 indexed citations
11.
Safavi‐Hemami, Helena, Carolina Möller, Frank Marí, & Anthony W. Purcell. (2013). High molecular weight components of the injected venom of fish-hunting cone snails target the vascular system. Journal of Proteomics. 91. 97–105. 15 indexed citations
12.
Marí, Frank, et al.. (2013). New Tools for Targeted Disruption of Cholinergic Synaptic Transmission in Drosophila melanogaster. PLoS ONE. 8(5). e64685–e64685. 9 indexed citations
13.
Peigneur, Steve, Carolina Möller, Etienne Waelkens, et al.. (2012). Unraveling the peptidome of the South African cone snails Conus pictus and Conus natalis. Peptides. 41. 8–16. 7 indexed citations
14.
Peigneur, Steve, Natalia Dyubankova, Carolina Möller, et al.. (2011). Pc16a, the first characterized peptide from Conus pictus venom, shows a novel disulfide connectivity. Peptides. 34(1). 106–113. 12 indexed citations
15.
Kompella, Shiva N., Kalyana Bharati Akondi, Christian Melaun, et al.. (2011). RegIIA: An α4/7-conotoxin from the venom of Conus regius that potently blocks α3β4 nAChRs. Biochemical Pharmacology. 83(3). 419–426. 51 indexed citations
16.
Möller, Carolina & Frank Marí. (2010). 9.3 KDa components of the injected venom of Conus purpurascens define a new five‐disulfide conotoxin framework. Biopolymers. 96(2). 158–165. 23 indexed citations
17.
Marí, Frank, et al.. (2010). A novel approach for in vivo screening of toxins using the Drosophila Giant Fiber circuit. Toxicon. 56(8). 1398–1407. 9 indexed citations
18.
Clark, Roger, et al.. (1998). Isolation of Parvalbumin Isotypes by Preparative HPLC Techniques. Preparative Biochemistry & Biotechnology. 28(1). 49–60. 5 indexed citations
19.
Young, John K., Frank Marí, Minzhen Xu, et al.. (1997). Structural studies by H NMR of a prototypic α‐helical peptide (LYQELQKLTQTLK) and homologs in trifluoroethanol/water and on sodium dodecyl sulfate micelles. Journal of Peptide Research. 50(2). 122–131. 4 indexed citations
20.
Marí, Frank, et al.. (1996). 1H NMR studies of prototypical helical designer peptides A comparative study of the amide chemical shift dependency on temperature and polypeptide sequence. International journal of peptide & protein research. 47(6). 467–476. 4 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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