Christina E. May

464 total citations
11 papers, 281 citations indexed

About

Christina E. May is a scholar working on Nutrition and Dietetics, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Christina E. May has authored 11 papers receiving a total of 281 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Nutrition and Dietetics, 4 papers in Cellular and Molecular Neuroscience and 3 papers in Molecular Biology. Recurrent topics in Christina E. May's work include Biochemical Analysis and Sensing Techniques (5 papers), Coffee research and impacts (3 papers) and Cell death mechanisms and regulation (2 papers). Christina E. May is often cited by papers focused on Biochemical Analysis and Sensing Techniques (5 papers), Coffee research and impacts (3 papers) and Cell death mechanisms and regulation (2 papers). Christina E. May collaborates with scholars based in United States, Germany and Australia. Christina E. May's co-authors include Monica Dus, William C. Griffin, Morteza Khabiri, Peter L. Freddolino, Qiao‐Ping Wang, G. Gregory Neely, Harold L. Haun, Scott D. Pletcher, Yong Lin and Evan Dennis and has published in prestigious journals such as Neuroscience, Science Advances and Cell Reports.

In The Last Decade

Christina E. May

11 papers receiving 279 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Christina E. May United States	9	104	82	52	49	43	11	281
Daniela Pes Italy	8	257 2.5×	117 1.4×	151 2.9×	83 1.7×	24 0.6×	9	402
Lisa J. Oyston Australia	6	78 0.8×	63 0.8×	30 0.6×	45 0.9×	34 0.8×	9	222
Thang M. Khuong Australia	11	159 1.5×	63 0.8×	38 0.7×	190 3.9×	34 0.8×	16	447
Nathaniel J. Himmel United States	9	181 1.7×	29 0.4×	116 2.2×	85 1.7×	23 0.5×	16	333
Tongtong Wang China	11	41 0.4×	72 0.9×	14 0.3×	187 3.8×	77 1.8×	26	440
Andrea Murillo Colombia	6	206 2.0×	47 0.6×	14 0.3×	141 2.9×	44 1.0×	8	424
Mary Ford United States	5	34 0.3×	36 0.4×	177 3.4×	58 1.2×	29 0.7×	5	392
John B. Rudell United States	7	83 0.8×	55 0.7×	24 0.5×	207 4.2×	63 1.5×	9	399
Jun‐ichi Shiraishi Japan	12	99 1.0×	158 1.9×	24 0.5×	69 1.4×	197 4.6×	36	426
Arik W. Smith United States	7	85 0.8×	71 0.9×	18 0.3×	107 2.2×	283 6.6×	7	485

Countries citing papers authored by Christina E. May

Since Specialization

Citations

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

Fields of papers citing papers by Christina E. May

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christina E. May. 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 Christina E. May. The network helps show where Christina E. May may publish in the future.

Co-authorship network of co-authors of Christina E. May

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

All Works

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11 of 11 papers shown

LaCrosse, Amber, Christina E. May, William C. Griffin, & M. Foster Olive. (2024). mGluR5 positive allosteric modulation prevents MK-801 induced increases in extracellular glutamate in the rat medial prefrontal cortex. Neuroscience. 555. 83–91. 4 indexed citations

Zhu, Yunlu, Franziska Auer, Kyla R. Hamling, et al.. (2023). SAMPL is a high-throughput solution to study unconstrained vertical behavior in small animals. Cell Reports. 42(6). 112573–112573. 11 indexed citations

Haun, Harold L., et al.. (2021). Effect of caffeine on alcohol drinking in mice. Alcohol. 94. 1–8. 4 indexed citations

Khabiri, Morteza, et al.. (2020). Persistent epigenetic reprogramming of sweet taste by diet. Science Advances. 6(46). 26 indexed citations

May, Christina E., et al.. (2020). Dietary sugar inhibits satiation by decreasing the central processing of sweet taste. eLife. 9. 42 indexed citations

May, Christina E. & Monica Dus. (2020). Confection Confusion: Interplay Between Diet, Taste, and Nutrition. Trends in Endocrinology and Metabolism. 32(2). 95–105. 27 indexed citations

May, Christina E., Yong Lin, Olga Grushko, et al.. (2019). High Dietary Sugar Reshapes Sweet Taste to Promote Feeding Behavior in Drosophila melanogaster. Cell Reports. 27(6). 1675–1685.e7. 84 indexed citations

May, Christina E., Harold L. Haun, & William C. Griffin. (2015). Sensitization and Tolerance Following Repeated Exposure to Caffeine and Alcohol in Mice. Alcoholism Clinical and Experimental Research. 39(8). 1443–1452. 22 indexed citations

May, Christina E., et al.. (2013). Conditioned reinforcement and locomotor activating effects of caffeine and ethanol combinations in mice. Pharmacology Biochemistry and Behavior. 110. 168–173. 28 indexed citations

10.

Chromik, Ansgar M., Stephan A. Hahn, Adrien Daigeler, et al.. (2010). Gene expression analysis of cell death induction by Taurolidine in different malignant cell lines. BMC Cancer. 10(1). 595–595. 10 indexed citations

11.

Chromik, Ansgar M., Adrien Daigeler, Daniel Bulut, et al.. (2010). Comparative analysis of cell death induction by Taurolidine in different malignant human cancer cell lines. Journal of Experimental & Clinical Cancer Research. 29(1). 21–21. 23 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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