Melissa Guildford

2.7k total citations · 1 hit paper
8 papers, 2.1k citations indexed

About

Melissa Guildford is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, Melissa Guildford has authored 8 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Cellular and Molecular Neuroscience and 2 papers in Cognitive Neuroscience. Recurrent topics in Melissa Guildford's work include Neurotransmitter Receptor Influence on Behavior (4 papers), Receptor Mechanisms and Signaling (3 papers) and Nicotinic Acetylcholine Receptors Study (3 papers). Melissa Guildford is often cited by papers focused on Neurotransmitter Receptor Influence on Behavior (4 papers), Receptor Mechanisms and Signaling (3 papers) and Nicotinic Acetylcholine Receptors Study (3 papers). Melissa Guildford collaborates with scholars based in United States, Russia and South Korea. Melissa Guildford's co-authors include Sreerupa Challa, David Moquin, Francis Ka-Ming Chan, Ryan M. Genga, Tathagat Dutta Ray, Andrew R. Tapper, Linzy M. Hendrickson, Paul Gardner, Rubing Zhao-Shea and Liwang Liu and has published in prestigious journals such as Cell, Journal of Neuroscience and The Journal of Physical Chemistry B.

In The Last Decade

Melissa Guildford

8 papers receiving 2.1k citations

Hit Papers

Phosphorylation-Driven Assembly of the RIP1-RIP3 Complex ... 2009 2026 2014 2020 2009 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Melissa Guildford United States 8 1.7k 839 374 255 228 8 2.1k
Lydia Lartigue France 22 1.6k 1.0× 668 0.8× 254 0.7× 216 0.8× 239 1.0× 33 2.3k
Irene L. Ch’en United States 13 2.1k 1.2× 1.4k 1.6× 447 1.2× 411 1.6× 417 1.8× 16 2.9k
Peter Schotte Belgium 18 1.4k 0.8× 599 0.7× 285 0.8× 182 0.7× 149 0.7× 22 1.9k
Isabel Latorre United States 16 1.8k 1.1× 1.0k 1.2× 372 1.0× 343 1.3× 167 0.7× 20 3.0k
Michaël Kalai Belgium 22 1.2k 0.7× 773 0.9× 429 1.1× 162 0.6× 302 1.3× 41 2.1k
Jenny Ghelfi Luxembourg 13 994 0.6× 646 0.8× 240 0.6× 167 0.7× 75 0.3× 16 1.8k
Tino Hochepied Belgium 22 1.2k 0.7× 502 0.6× 186 0.5× 176 0.7× 231 1.0× 55 2.0k
Qingde Wang United States 23 2.6k 1.6× 722 0.9× 254 0.7× 567 2.2× 102 0.4× 44 3.5k
Wei‐Ching Huang Taiwan 26 1.6k 0.9× 555 0.7× 268 0.7× 243 1.0× 368 1.6× 41 2.3k

Countries citing papers authored by Melissa Guildford

Since Specialization
Citations

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

Fields of papers citing papers by Melissa Guildford

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Melissa Guildford

This figure shows the co-authorship network connecting the top 25 collaborators of Melissa Guildford. A scholar is included among the top collaborators of Melissa Guildford 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 Melissa Guildford. Melissa Guildford 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.
Guildford, Melissa, et al.. (2017). Dopamine Receptors Differentially Control Binge Alcohol Drinking-Mediated Synaptic Plasticity of the Core Nucleus Accumbens Direct and Indirect Pathways. Journal of Neuroscience. 37(22). 5463–5474. 26 indexed citations
2.
Gao, Guangping, Amy W. Lasek, Gregg E. Homanics, et al.. (2017). The Sodium Channel β4 Auxiliary Subunit Selectively Controls Long-Term Depression in Core Nucleus Accumbens Medium Spiny Neurons. Frontiers in Cellular Neuroscience. 11. 8 indexed citations
3.
Guildford, Melissa, et al.. (2016). Modulation of ethanol reward sensitivity by nicotinic acetylcholine receptors containing the α6 subunit. Alcohol. 57. 65–70. 13 indexed citations
4.
Hendrickson, Linzy M., Melissa Guildford, & Andrew R. Tapper. (2013). Neuronal Nicotinic Acetylcholine Receptors: Common Molecular Substrates of Nicotine and Alcohol Dependence. Frontiers in Psychiatry. 4. 29–29. 99 indexed citations
5.
Guberman‐Pfeffer, Matthew J., et al.. (2013). FT-IR Spectroscopy and Density Functional Theory Calculations of 13C Isotopologues of the Helical Peptide Z-Aib6-OtBu. The Journal of Physical Chemistry B. 118(1). 58–68. 7 indexed citations
6.
Liu, Liwang, Linzy M. Hendrickson, Melissa Guildford, et al.. (2012). Nicotinic Acetylcholine Receptors Containing the α4 Subunit Modulate Alcohol Reward. Biological Psychiatry. 73(8). 738–746. 47 indexed citations
7.
Challa, Sreerupa, et al.. (2010). Viral Cell Death Inhibitor MC159 Enhances Innate Immunity against Vaccinia Virus Infection. Journal of Virology. 84(20). 10467–10476. 26 indexed citations
8.
Challa, Sreerupa, David Moquin, Ryan M. Genga, et al.. (2009). Phosphorylation-Driven Assembly of the RIP1-RIP3 Complex Regulates Programmed Necrosis and Virus-Induced Inflammation. Cell. 137(6). 1112–1123. 1915 indexed citations breakdown →

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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