Carolina Möller

457 total citations
24 papers, 374 citations indexed

About

Carolina Möller is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Genetics. According to data from OpenAlex, Carolina Möller has authored 24 papers receiving a total of 374 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 8 papers in Cellular and Molecular Neuroscience and 3 papers in Genetics. Recurrent topics in Carolina Möller's work include Receptor Mechanisms and Signaling (14 papers), Nicotinic Acetylcholine Receptors Study (14 papers) and Ion channel regulation and function (6 papers). Carolina Möller is often cited by papers focused on Receptor Mechanisms and Signaling (14 papers), Nicotinic Acetylcholine Receptors Study (14 papers) and Ion channel regulation and function (6 papers). Carolina Möller collaborates with scholars based in United States, Venezuela and Belgium. Carolina Möller's co-authors include Frank Marí, José Bubis, Steve Peigneur, Gregg B. Fields, Jan Tytgat, László Béress, Wolf‐Georg Forssmann, Janelle L. Lauer‐Fields, Anthony P. DeCaprio and Evan Clark and has published in prestigious journals such as Journal of Biological Chemistry, Biochemistry and Scientific Reports.

In The Last Decade

Carolina Möller

24 papers receiving 372 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Carolina Möller United States 12 302 70 70 35 33 24 374
Daniel Biass Switzerland 10 354 1.2× 43 0.6× 97 1.4× 36 1.0× 27 0.8× 10 424
Bert Billen Belgium 10 372 1.2× 96 1.4× 164 2.3× 34 1.0× 28 0.8× 13 433
Jennifer A. Jakubowski United States 12 252 0.8× 61 0.9× 44 0.6× 10 0.3× 16 0.5× 15 385
Ameurfina D. Santos United States 10 647 2.1× 121 1.7× 90 1.3× 12 0.3× 53 1.6× 12 727
Mathilde R. Israel Australia 11 376 1.2× 106 1.5× 212 3.0× 29 0.8× 49 1.5× 15 534
Gloria P. Corpuz Philippines 7 726 2.4× 184 2.6× 62 0.9× 10 0.3× 53 1.6× 7 809
Mark D. Lanigan United States 8 391 1.3× 77 1.1× 98 1.4× 36 1.0× 9 0.3× 9 463
Marie France Martin-Eauclaire France 10 384 1.3× 73 1.0× 320 4.6× 25 0.7× 33 1.0× 11 493
Meichi Wang China 12 340 1.1× 64 0.9× 224 3.2× 8 0.2× 28 0.8× 18 413
Sarah Debaveye Belgium 10 337 1.1× 89 1.3× 133 1.9× 41 1.2× 36 1.1× 13 418

Countries citing papers authored by Carolina Möller

Since Specialization
Citations

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

Fields of papers citing papers by Carolina Möller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carolina Möller

This figure shows the co-authorship network connecting the top 25 collaborators of Carolina Möller. A scholar is included among the top collaborators of Carolina Möller 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 Carolina Möller. Carolina Möller 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.
Möller, Carolina, et al.. (2024). DNA modifications: Biomarkers for the exposome?. Environmental Toxicology and Pharmacology. 108. 104449–104449. 3 indexed citations
2.
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
3.
Möller, Carolina, et al.. (2018). LC-MS/MS based detection and characterization of covalent glutathione modifications formed by reactive drug of abuse metabolites. Xenobiotica. 49(7). 778–790. 3 indexed citations
4.
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.
Möller, Carolina, Evan Clark, Helena Safavi‐Hemami, Anthony P. DeCaprio, & Frank Marí. (2017). Isolation and characterization of Conohyal-P1, a hyaluronidase from the injected venom of Conus purpurascens. Journal of Proteomics. 164. 73–84. 13 indexed citations
8.
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
9.
Möller, Carolina, et al.. (2013). Comparative analysis of proteases in the injected and dissected venom of cone snail species. Toxicon. 65. 59–67. 18 indexed citations
10.
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
11.
Peigneur, Steve, Eveline Lescrinier, Carolina Möller, et al.. (2012). A Natural Point Mutation Reveals Target Promiscuity of Toxins Isolated from the Sea Anemone Anthopleura Elegantissima. Biophysical Journal. 102(3). 658a–658a. 1 indexed citations
12.
Peigneur, Steve, László Béress, Carolina Möller, et al.. (2012). A natural point mutation changes both target selectivity and mechanism of action of sea anemone toxins. The FASEB Journal. 26(12). 5141–5151. 73 indexed citations
13.
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
14.
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
15.
Möller, Carolina, Christian Melaun, Cecilia Castillo, et al.. (2010). Functional Hypervariability and Gene Diversity of Cardioactive Neuropeptides. Journal of Biological Chemistry. 285(52). 40673–40680. 22 indexed citations
16.
Möller, Carolina, et al.. (2006). Hyperhydroxylation: A New Strategy for Neuronal Targeting by Venomous Marine Molluscs. Progress in molecular and subcellular biology. 43. 83–103. 41 indexed citations
17.
Kosoy, Ana, et al.. (2004). Chemical Modification of Transducin with Dansyl Chloride Hinders Its Binding to Light-activated Rhodopsin. BMB Reports. 37(2). 260–267. 8 indexed citations
18.
Kosoy, Ana, et al.. (2003). Identification of functionally important acidic residues in transducin by group-specific labeling. Biological Research. 36(3-4). 389–404. 3 indexed citations
19.
Kurz, Liliana, et al.. (2002). Biochemical and enzymatic characterization of a partially purified casein kinase-1 like activity from Trypanosoma cruzi. Parasitology International. 51(1). 25–39. 14 indexed citations
20.
Bubis, José, Julio Ortiz, & Carolina Möller. (2001). Chemical Modification of Transducin with Iodoacetic Acid: Transducin-α Carboxymethylated at Cys347 Allows Transducin Binding to Light-Activated Rhodopsin but Prevents Its Release in the Presence of GTP. Archives of Biochemistry and Biophysics. 395(2). 146–157. 12 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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