Gregory J. Fisk

1.6k total citations
8 papers, 1.2k citations indexed

About

Gregory J. Fisk is a scholar working on Molecular Biology, Immunology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Gregory J. Fisk has authored 8 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Immunology and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Gregory J. Fisk's work include Pluripotent Stem Cells Research (3 papers), CRISPR and Genetic Engineering (3 papers) and 3D Printing in Biomedical Research (2 papers). Gregory J. Fisk is often cited by papers focused on Pluripotent Stem Cells Research (3 papers), CRISPR and Genetic Engineering (3 papers) and 3D Printing in Biomedical Research (2 papers). Gregory J. Fisk collaborates with scholars based in United States and Singapore. Gregory J. Fisk's co-authors include Mahendra S. Rao, Melissa K. Carpenter, Takumi Miura, Elen Rosler, Carl S. Thummel, Ralph Brandenberger, John Irving, Mary T. Lucero, Carl S. Thummel and Toinette Hartshorne and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Gregory J. Fisk

8 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Gregory J. Fisk United States	8	968	204	166	165	146	8	1.2k
Jem Efe United States	11	1.2k 1.2×	142 0.7×	299 1.8×	176 1.1×	265 1.8×	12	1.6k
Laure Lapasset France	10	904 0.9×	41 0.2×	59 0.4×	48 0.3×	39 0.3×	15	1.1k
H. Steve Zhang United States	4	1.7k 1.7×	45 0.2×	41 0.2×	141 0.9×	53 0.4×	6	1.9k
Jean-Baptiste Renaud France	6	1.4k 1.4×	29 0.1×	46 0.3×	50 0.3×	91 0.6×	7	1.6k
Shin-ichi Yanagawa Japan	20	1.1k 1.1×	71 0.3×	42 0.3×	108 0.7×	325 2.2×	37	1.6k
Vincent Gache France	16	892 0.9×	69 0.3×	68 0.4×	137 0.8×	446 3.1×	39	1.2k
Elizabeth A. Boydston United States	8	1.1k 1.1×	52 0.3×	57 0.3×	59 0.4×	67 0.5×	9	1.2k
Yamila N. Torres Cleuren Norway	9	1.0k 1.1×	38 0.2×	41 0.2×	65 0.4×	108 0.7×	15	1.3k
Joffrey Mianné France	9	1.2k 1.3×	35 0.2×	46 0.3×	55 0.3×	68 0.5×	19	1.4k
Reagan W. Ching Canada	11	1.4k 1.5×	84 0.4×	107 0.6×	56 0.3×	66 0.5×	15	1.6k

Countries citing papers authored by Gregory J. Fisk

Since Specialization

Citations

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

Fields of papers citing papers by Gregory J. Fisk

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gregory J. Fisk

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

All Works

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8 of 8 papers shown

Brandenberger, Ralph, Gregory J. Fisk, Yan Li, et al.. (2004). Transcriptome characterization elucidates signaling networks that control human ES cell growth and differentiation. Nature Biotechnology. 22(6). 707–716. 259 indexed citations

Carpenter, Melissa K., Elen Rosler, Gregory J. Fisk, et al.. (2003). Properties of four human embryonic stem cell lines maintained in a feeder‐free culture system. Developmental Dynamics. 229(2). 243–258. 215 indexed citations

Rosler, Elen, Gregory J. Fisk, John Irving, et al.. (2003). Long‐term culture of human embryonic stem cells in feeder‐free conditions. Developmental Dynamics. 229(2). 259–274. 269 indexed citations

Ling, Vincent, Paul W. Wu, Heather Finnerty, et al.. (2001). Assembly and Annotation of Human Chromosome 2q33 Sequence Containing the CD28, CTLA4, and ICOS Gene Cluster: Analysis by Computational, Comparative, and Microarray Approaches. Genomics. 78(3). 155–168. 48 indexed citations

Fisk, Gregory J. & Carl S. Thummel. (1998). The DHR78 Nuclear Receptor Is Required for Ecdysteroid Signaling during the Onset of Drosophila Metamorphosis. Cell. 93(4). 543–555. 52 indexed citations

Fisk, Gregory J. & Carl S. Thummel. (1995). Isolation, regulation, and DNA-binding properties of three Drosophila nuclear hormone receptor superfamily members.. Proceedings of the National Academy of Sciences. 92(23). 10604–10608. 96 indexed citations

Cook, Kathleen Sue, Gregory J. Fisk, Joachim Hauber, et al.. (1991). Characterization of HIV-1 REV protein: binding stoichiometry and minimal RNA substrate. Nucleic Acids Research. 19(7). 1577–1583. 126 indexed citations

Otsuka, Anthony J., Ayyamperumal Jeyaprakash, Jaime Garcı́a-Añoveros, et al.. (1991). The C. elegans unc-104 4 gene encodes a putative kinesin heavy chain-like protein. Neuron. 6(1). 113–122. 183 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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