Crescent L. Combe

461 total citations
9 papers, 303 citations indexed

About

Crescent L. Combe is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Immunology. According to data from OpenAlex, Crescent L. Combe has authored 9 papers receiving a total of 303 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Cellular and Molecular Neuroscience and 3 papers in Immunology. Recurrent topics in Crescent L. Combe's work include Ion channel regulation and function (3 papers), Neuroscience and Neuropharmacology Research (3 papers) and Immune Cell Function and Interaction (3 papers). Crescent L. Combe is often cited by papers focused on Ion channel regulation and function (3 papers), Neuroscience and Neuropharmacology Research (3 papers) and Immune Cell Function and Interaction (3 papers). Crescent L. Combe collaborates with scholars based in United States and Italy. Crescent L. Combe's co-authors include Imtiaz A. Khan, Magali Moretto, Sonia Gasparini, Tyler J. Curiel, Louis M. Weiss, Carmen C. Canavier, Calin Stoicov, Kenneth A. Dyar, JeanMarie Houghton and Fiona M. Inglis and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and The Journal of Immunology.

In The Last Decade

Crescent L. Combe

9 papers receiving 298 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Crescent L. Combe United States 8 119 99 73 57 46 9 303
Asiel Arce-Sillas Mexico 8 103 0.9× 63 0.6× 23 0.3× 45 0.8× 55 1.2× 16 353
Brenda L. Bartlett United States 10 43 0.4× 73 0.7× 115 1.6× 287 5.0× 59 1.3× 15 539
Hana Jáňová United States 11 135 1.1× 24 0.2× 47 0.6× 84 1.5× 25 0.5× 14 398
Gabriel J. Popa United States 8 72 0.6× 18 0.2× 31 0.4× 155 2.7× 23 0.5× 11 408
Adam T. Hagymasi United States 13 348 2.9× 24 0.2× 60 0.8× 186 3.3× 19 0.4× 19 599
Libo Su China 14 88 0.7× 72 0.7× 28 0.4× 227 4.0× 13 0.3× 32 457
Carlos Aguirre United States 9 30 0.3× 78 0.8× 28 0.4× 51 0.9× 17 0.4× 18 246
Mario Giraldo‐Velásquez Germany 9 58 0.5× 159 1.6× 134 1.8× 106 1.9× 44 1.0× 10 367
Armelle Rametti‐Lacroux France 8 30 0.3× 40 0.4× 78 1.1× 107 1.9× 25 0.5× 15 382

Countries citing papers authored by Crescent L. Combe

Since Specialization
Citations

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

Fields of papers citing papers by Crescent L. Combe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Crescent L. Combe. 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 Crescent L. Combe. The network helps show where Crescent L. Combe may publish in the future.

Co-authorship network of co-authors of Crescent L. Combe

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

All Works

9 of 9 papers shown
2.
Combe, Crescent L. & Sonia Gasparini. (2021). Ih from synapses to networks: HCN channel functions and modulation in neurons. Progress in Biophysics and Molecular Biology. 166. 119–132. 37 indexed citations
3.
Combe, Crescent L., Carmen C. Canavier, & Sonia Gasparini. (2018). Intrinsic Mechanisms of Frequency Selectivity in the Proximal Dendrites of CA1 Pyramidal Neurons. Journal of Neuroscience. 38(38). 8110–8127. 16 indexed citations
4.
Lin, Eric, Crescent L. Combe, & Sonia Gasparini. (2017). Differential Contribution of Ca2+-Dependent Mechanisms to Hyperexcitability in Layer V Neurons of the Medial Entorhinal Cortex. Frontiers in Cellular Neuroscience. 11. 182–182. 10 indexed citations
5.
Combe, Crescent L., et al.. (2008). Modest alterations in patterns of motor neuron dendrite morphology in the Fmr1 knockout mouse model for fragile X. International Journal of Developmental Neuroscience. 26(7). 805–811. 21 indexed citations
6.
Moretto, Magali, Louis M. Weiss, Crescent L. Combe, & Imtiaz A. Khan. (2007). IFN-γ-Producing Dendritic Cells Are Important for Priming of Gut Intraepithelial Lymphocyte Response Against Intracellular Parasitic Infection. The Journal of Immunology. 179(4). 2485–2492. 47 indexed citations
7.
Combe, Crescent L., Magali Moretto, Joseph D. Schwartzman, et al.. (2006). Lack of IL-15 results in the suboptimal priming of CD4+T cell response against an intracellular parasite. Proceedings of the National Academy of Sciences. 103(17). 6635–6640. 30 indexed citations
8.
Combe, Crescent L., Tyler J. Curiel, Magali Moretto, & Imtiaz A. Khan. (2005). NK Cells Help To Induce CD8+-T-Cell Immunity againstToxoplasma gondiiin the Absence of CD4+T Cells. Infection and Immunity. 73(8). 4913–4921. 70 indexed citations
9.
Stoicov, Calin, Mark T. Whary, Arlin B. Rogers, et al.. (2004). Coinfection Modulates Inflammatory Responses and Clinical Outcome of Helicobacter felis and Toxoplasma gondii Infections. The Journal of Immunology. 173(5). 3329–3336. 66 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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