Michael J. Gilchrist

4.2k total citations
45 papers, 2.4k citations indexed

About

Michael J. Gilchrist is a scholar working on Molecular Biology, Plant Science and Cancer Research. According to data from OpenAlex, Michael J. Gilchrist has authored 45 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Molecular Biology, 7 papers in Plant Science and 6 papers in Cancer Research. Recurrent topics in Michael J. Gilchrist's work include Developmental Biology and Gene Regulation (11 papers), Genomics and Phylogenetic Studies (10 papers) and RNA Research and Splicing (10 papers). Michael J. Gilchrist is often cited by papers focused on Developmental Biology and Gene Regulation (11 papers), Genomics and Phylogenetic Studies (10 papers) and RNA Research and Splicing (10 papers). Michael J. Gilchrist collaborates with scholars based in United Kingdom, United States and Germany. Michael J. Gilchrist's co-authors include James C. Smith, Nick Owens, Eric A. Miska, Fiona C. Wardle, Vitaly Zimyanin, Katsiaryna Belaya, Jacques Pécréaux, Ilan Davis, Alejandra Clark and Daniel St Johnston and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Immunity.

In The Last Decade

Michael J. Gilchrist

45 papers receiving 2.4k citations

Peers

Michael J. Gilchrist

GENET

Danielle Thierry‐Mieg United States

Enrique Blanco Spain

Roy Navon Israel

Willis X. Li United States

Sanjeev Galande India

Jens T. Vanselow Germany

Ayako Yamamoto Japan

Toshihiko Eki Japan

Jaime A. Castro-Mondragón France

Laurent‐Philippe Albou United States

Danielle Thierry‐Mieg United States

Michael J. Gilchrist

2.0k ×1.1

307 ×0.9

284 ×0.9

GENET

247 ×0.9

341 ×1.5

Citations per year, relative to Michael J. Gilchrist Michael J. Gilchrist (= 1×) peers Danielle Thierry‐Mieg

Countries citing papers authored by Michael J. Gilchrist

Since Specialization

Citations

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

Fields of papers citing papers by Michael J. Gilchrist

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael J. Gilchrist. 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 Michael J. Gilchrist. The network helps show where Michael J. Gilchrist may publish in the future.

Co-authorship network of co-authors of Michael J. Gilchrist

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

All Works

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20 of 20 papers shown

Owens, Nick, Elena De Domenico, & Michael J. Gilchrist. (2019). An RNA-Seq Protocol for Differential Expression Analysis. Cold Spring Harbor Protocols. 2019(6). pdb.prot098368–pdb.prot098368. 35 indexed citations

Patrushev, Ilya, Christina James‐Zorn, Aldo Ciau‐Uitz, Roger Patient, & Michael J. Gilchrist. (2018). New methods for computational decomposition of whole-mount in situ images enable effective curation of a large, highly redundant collection of Xenopus images. PLoS Computational Biology. 14(8). e1006077–e1006077. 1 indexed citations

Owens, Nick, Ira L. Blitz, Maura Lane, et al.. (2016). Measuring Absolute RNA Copy Numbers at High Temporal Resolution Reveals Transcriptome Kinetics in Development. Cell Reports. 14(3). 632–647. 132 indexed citations

Collart, Clara, Nick Owens, Leena Bhaw, et al.. (2014). High-resolution analysis of gene activity during the Xenopus mid-blastula transition. Development. 141(9). 1927–1939. 79 indexed citations

Meglio, Paola Di, João H. Duarte, Helena Ahlfors, et al.. (2014). Activation of the Aryl Hydrocarbon Receptor Dampens the Severity of Inflammatory Skin Conditions. Immunity. 40(6). 989–1001. 273 indexed citations

Gilchrist, Michael J.. (2012). From expression cloning to gene modeling: The development of Xenopus gene sequence resources. genesis. 50(3). 143–154. 15 indexed citations

Gilchrist, Michael J. & Nicolas Pollet. (2012). Databases of Gene Expression in Xenopus Development. Methods in molecular biology. 917. 319–345. 2 indexed citations

Parain, Karine, Odile Bronchain, Caroline Borday, et al.. (2011). A large scale screen for neural stem cell markers in Xenopus retina. Developmental Neurobiology. 72(4). 491–506. 21 indexed citations

Love, Nick R., Boyan Bonev, Michael J. Gilchrist, et al.. (2011). Genome-wide analysis of gene expression during Xenopus tropicalis tadpole tail regeneration. BMC Developmental Biology. 11(1). 70–70. 70 indexed citations

10.

Armisen, Javier, Michael J. Gilchrist, Ania Wilczynska, Nancy Standart, & Eric A. Miska. (2009). Abundant and dynamically expressed miRNAs, piRNAs, and other small RNAs in the vertebrate Xenopus tropicalis. Genome Research. 19(10). 1766–1775. 68 indexed citations

11.

Subkhankulova, Tatiana, Michael J. Gilchrist, & Frederick J. Livesey. (2008). Modelling and measuring single cell RNA expression levels find considerable transcriptional differences among phenotypically identical cells. BMC Genomics. 9(1). 268–268. 30 indexed citations

12.

Zimyanin, Vitaly, Katsiaryna Belaya, Jacques Pécréaux, et al.. (2008). In Vivo Imaging of oskar mRNA Transport Reveals the Mechanism of Posterior Localization. Cell. 134(5). 843–853. 261 indexed citations

13.

Hoffmann, Steve, Alan D. Frankel, Peter Kjær Mackie Jensen, et al.. (2008). Sequence assembly. Computational Biology and Chemistry. 33(2). 121–136. 33 indexed citations

14.

Das, Partha Pratim, Leonard D. Goldstein, Nicolas J. Lehrbach, et al.. (2008). Piwi and piRNAs Act Upstream of an Endogenous siRNA Pathway to Suppress Tc3 Transposon Mobility in the Caenorhabditis elegans Germline. Molecular Cell. 31(1). 79–90. 319 indexed citations

15.

Gilchrist, Michael J., Mikkel Christensen, Richard M. Harland, et al.. (2008). Evading the annotation bottleneck: using sequence similarity to search non-sequence gene data. BMC Bioinformatics. 9(1). 442–442. 7 indexed citations

16.

Cirera, Susanna, et al.. (2007). EST analysis on pig mitochondria reveal novel expression differences between developmental and adult tissues. BMC Genomics. 8(1). 367–367. 8 indexed citations

17.

Seemann, Stefan E., Michael J. Gilchrist, Ivo L. Hofacker, Peter F. Stadler, & Jan Gorodkin. (2007). Detection of RNA structures in porcine EST data and related mammals. BMC Genomics. 8(1). 316–316. 13 indexed citations

18.

Taverner, Nicola V., Matthew Kofron, Yongchol Shin, et al.. (2005). Microarray-based identification of VegT targets in Xenopus. Mechanisms of Development. 122(3). 333–354. 35 indexed citations

19.

Gilchrist, Michael J., et al.. (2004). Defining a large set of full-length clones from a Xenopus tropicalis EST project. Developmental Biology. 271(2). 498–516. 94 indexed citations

20.

Gilchrist, Michael J., et al.. (2001). Trans-Sodium Crocetinate Restores Blood Pressure, Heart Rate, and Plasma Lactate after Hemorrhagic Shock. The Journal of Trauma: Injury, Infection, and Critical Care. 51(5). 932–938. 22 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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