Christopher Gregg

3.8k total citations
35 papers, 2.6k citations indexed

About

Christopher Gregg is a scholar working on Molecular Biology, Genetics and Immunology. According to data from OpenAlex, Christopher Gregg has authored 35 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 18 papers in Genetics and 5 papers in Immunology. Recurrent topics in Christopher Gregg's work include Genetic Syndromes and Imprinting (11 papers), Epigenetics and DNA Methylation (10 papers) and Glycosylation and Glycoproteins Research (6 papers). Christopher Gregg is often cited by papers focused on Genetic Syndromes and Imprinting (11 papers), Epigenetics and DNA Methylation (10 papers) and Glycosylation and Glycoproteins Research (6 papers). Christopher Gregg collaborates with scholars based in United States, United Kingdom and Japan. Christopher Gregg's co-authors include Jiangwen Zhang, David Haig, Catherine Dulac, George M. Church, Ajit Varki, Nissi Varki, Gary P. Schroth, Shujun Luo, Brandon Weissbourd and J. G. Lajoie and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Christopher Gregg

35 papers receiving 2.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christopher Gregg United States 21 1.9k 1.0k 224 170 157 35 2.6k
Luis Covarrubias Mexico 30 2.2k 1.2× 1.1k 1.0× 248 1.1× 282 1.7× 81 0.5× 69 3.4k
William C. Speed United States 35 1.8k 1.0× 2.2k 2.1× 86 0.4× 206 1.2× 85 0.5× 68 4.0k
Jeffrey G. Reid United States 21 1.7k 0.9× 1.1k 1.1× 233 1.0× 108 0.6× 91 0.6× 33 3.0k
Ramesh Ramakrishnan United States 23 1.2k 0.6× 684 0.7× 144 0.6× 107 0.6× 66 0.4× 38 2.3k
Hong Xiao United States 27 2.3k 1.2× 1.0k 1.0× 496 2.2× 170 1.0× 71 0.5× 101 4.1k
Chris Cotsapas United States 23 1.5k 0.8× 2.3k 2.2× 385 1.7× 58 0.3× 105 0.7× 44 3.8k
Radoje Drmanac China 20 1.7k 0.9× 1.0k 1.0× 109 0.5× 125 0.7× 102 0.6× 50 2.7k
Joshua Starmer United States 28 1.7k 0.9× 1.2k 1.1× 359 1.6× 49 0.3× 103 0.7× 43 3.1k
Jill Platko United States 17 1.6k 0.8× 1.7k 1.6× 180 0.8× 94 0.6× 57 0.4× 19 3.5k
Tamar Ziv Israel 38 2.6k 1.4× 363 0.4× 417 1.9× 207 1.2× 46 0.3× 101 4.0k

Countries citing papers authored by Christopher Gregg

Since Specialization
Citations

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

Fields of papers citing papers by Christopher Gregg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christopher Gregg

This figure shows the co-authorship network connecting the top 25 collaborators of Christopher Gregg. A scholar is included among the top collaborators of Christopher Gregg 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 Christopher Gregg. Christopher Gregg 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.
Ferris, Elliott, Adriana C. Rodriguez, Amandine Chaix, et al.. (2025). Conserved noncoding cis elements associated with hibernation modulate metabolic and behavioral adaptations in mice. Science. 389(6759). 501–507. 1 indexed citations
2.
Kravitz, Stephanie N., Elliott Ferris, Michael I. Love, et al.. (2023). Random allelic expression in the adult human body. Cell Reports. 42(1). 111945–111945. 14 indexed citations
3.
Filsinger, Gabriel, Timothy M. Wannier, Julie Zhang, et al.. (2021). Characterizing the portability of phage-encoded homologous recombination proteins. Nature Chemical Biology. 17(4). 394–402. 40 indexed citations
4.
Wannier, Timothy M., Ákos Nyerges, Márton Simon Czikkely, et al.. (2020). Improved bacterial recombineering by parallelized protein discovery. Proceedings of the National Academy of Sciences. 117(24). 13689–13698. 89 indexed citations
5.
Kravitz, Stephanie N. & Christopher Gregg. (2019). New subtypes of allele-specific epigenetic effects: implications for brain development, function and disease. Current Opinion in Neurobiology. 59. 69–78. 11 indexed citations
6.
Wong, Eleanor, et al.. (2019). Complex Economic Behavior Patterns Are Constructed from Finite, Genetically Controlled Modules of Behavior. Cell Reports. 28(7). 1814–1829.e6. 12 indexed citations
7.
Ferris, Elliott & Christopher Gregg. (2019). Parallel Accelerated Evolution in Distant Hibernators Reveals Candidate Cis Elements and Genetic Circuits Regulating Mammalian Obesity. Cell Reports. 29(9). 2608–2620.e4. 15 indexed citations
8.
9.
Bennett, Kathleen, et al.. (2018). Epigenetic and Cellular Diversity in the Brain through Allele-Specific Effects. Trends in Neurosciences. 41(12). 925–937. 17 indexed citations
10.
Ferris, Elliott, Lisa M. Abegglen, Joshua D. Schiffman, & Christopher Gregg. (2018). Accelerated Evolution in Distinctive Species Reveals Candidate Elements for Clinically Relevant Traits, Including Mutation and Cancer Resistance. Cell Reports. 22(10). 2742–2755. 28 indexed citations
11.
Jacobi, Ashley M., Garrett R. Rettig, Rolf Turk, et al.. (2017). Simplified CRISPR tools for efficient genome editing and streamlined protocols for their delivery into mammalian cells and mouse zygotes. Methods. 121-122. 16–28. 102 indexed citations
12.
Ferris, Elliott, Tong Cheng, Kelly Gleason, et al.. (2017). Diverse Non-genetic, Allele-Specific Expression Effects Shape Genetic Architecture at the Cellular Level in the Mammalian Brain. Neuron. 93(5). 1094–1109.e7. 26 indexed citations
13.
Napolitano, Michael G., Matthieu Landon, Christopher Gregg, et al.. (2016). Emergent rules for codon choice elucidated by editing rare arginine codons in Escherichia coli. Proceedings of the National Academy of Sciences. 113(38). 45 indexed citations
14.
Mandell, Daniel J., Marc J. Lajoie, Michael T. Mee, et al.. (2015). Biocontainment of genetically modified organisms by synthetic protein design. Nature. 518(7537). 55–60. 311 indexed citations
15.
Bonthuis, Paul J., et al.. (2015). Noncanonical Genomic Imprinting Effects in Offspring. Cell Reports. 12(6). 979–991. 60 indexed citations
16.
Gregg, Christopher. (2014). Known unknowns for allele-specific expression and genomic imprinting effects. F1000Prime Reports. 6. 75–75. 10 indexed citations
17.
Gregg, Christopher, Jiangwen Zhang, Brandon Weissbourd, et al.. (2010). High-Resolution Analysis of Parent-of-Origin Allelic Expression in the Mouse Brain. Science. 329(5992). 643–648. 393 indexed citations
18.
Gregg, Christopher, Jiangwen Zhang, J. E. Butler, David Haig, & Catherine Dulac. (2010). Sex-Specific Parent-of-Origin Allelic Expression in the Mouse Brain. Science. 329(5992). 682–685. 260 indexed citations
19.
Gregg, Christopher, Jochen Steppan, Daniel R. González, et al.. (2010). β2-Adrenergic Receptor-Coupled Phosphoinositide 3-Kinase Constrains cAMP-Dependent Increases in Cardiac Inotropy Through Phosphodiesterase 4 Activation. Anesthesia & Analgesia. 111(4). 870–877. 12 indexed citations
20.
Varki, Nissi, James G. Herndon, Tho D. Pham, et al.. (2009). ORIGINAL ARTICLE: Heart disease is common in humans and chimpanzees, but is caused by different pathological processes. Evolutionary Applications. 2(1). 101–112. 88 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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