Harry V. Isaacs

3.3k total citations
55 papers, 2.8k citations indexed

About

Harry V. Isaacs is a scholar working on Molecular Biology, Cell Biology and Genetics. According to data from OpenAlex, Harry V. Isaacs has authored 55 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Molecular Biology, 10 papers in Cell Biology and 9 papers in Genetics. Recurrent topics in Harry V. Isaacs's work include Developmental Biology and Gene Regulation (27 papers), Congenital heart defects research (20 papers) and Fibroblast Growth Factor Research (18 papers). Harry V. Isaacs is often cited by papers focused on Developmental Biology and Gene Regulation (27 papers), Congenital heart defects research (20 papers) and Fibroblast Growth Factor Research (18 papers). Harry V. Isaacs collaborates with scholars based in United Kingdom, United States and Belgium. Harry V. Isaacs's co-authors include Jonathan Slack, Mary Elizabeth Pownall, David Tannahill, J. M. W. Slack, Abigail S. Tucker, Laura Faas, Susan F. Godsave, Angela E. Douglas, Iain D. Keenan and Ian S. Wallace and has published in prestigious journals such as Journal of Neuroscience, The EMBO Journal and PLoS ONE.

In The Last Decade

Harry V. Isaacs

55 papers receiving 2.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Harry V. Isaacs United Kingdom 28 2.5k 561 441 227 142 55 2.8k
Kazuyuki Hoshijima United States 24 1.7k 0.7× 485 0.9× 427 1.0× 248 1.1× 187 1.3× 35 2.7k
Woong Y. Hwang United States 10 2.4k 1.0× 643 1.1× 608 1.4× 188 0.8× 187 1.3× 14 2.9k
Stefan Hoppler United Kingdom 24 2.1k 0.8× 405 0.7× 194 0.4× 218 1.0× 79 0.6× 45 2.4k
Krzysztof Jagla France 28 1.9k 0.7× 414 0.7× 338 0.8× 580 2.6× 72 0.5× 75 2.4k
E. J. Sanders Canada 30 1.6k 0.6× 699 1.2× 410 0.9× 268 1.2× 41 0.3× 103 2.6k
Pascal Heitzler France 20 2.4k 1.0× 336 0.6× 576 1.3× 775 3.4× 164 1.2× 26 3.0k
J. Robert Manak United States 31 2.3k 0.9× 696 1.2× 239 0.5× 205 0.9× 133 0.9× 68 2.9k
Dorothea Godt Canada 20 2.1k 0.8× 498 0.9× 958 2.2× 651 2.9× 114 0.8× 29 2.9k
Brent W. Bisgrove United States 24 1.7k 0.7× 772 1.4× 466 1.1× 148 0.7× 26 0.2× 29 2.5k
Laurel A. Raftery United States 29 2.8k 1.1× 427 0.8× 656 1.5× 479 2.1× 75 0.5× 47 3.3k

Countries citing papers authored by Harry V. Isaacs

Since Specialization
Citations

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

Fields of papers citing papers by Harry V. Isaacs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Harry V. Isaacs. 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 Harry V. Isaacs. The network helps show where Harry V. Isaacs may publish in the future.

Co-authorship network of co-authors of Harry V. Isaacs

This figure shows the co-authorship network connecting the top 25 collaborators of Harry V. Isaacs. A scholar is included among the top collaborators of Harry V. Isaacs 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 Harry V. Isaacs. Harry V. Isaacs 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.
King, Michael W., et al.. (2023). Regulation of gene expression downstream of a novel Fgf/Erk pathway during Xenopus development. PLoS ONE. 18(10). e0286040–e0286040. 1 indexed citations
2.
Isaacs, Harry V., et al.. (2020). A comparative analysis of fibroblast growth factor receptor signalling during Xenopus development. Biology of the Cell. 112(5). 127–139. 2 indexed citations
3.
Isaacs, Harry V., et al.. (2012). Early transcriptional targets of MyoD link myogenesis and somitogenesis. Developmental Biology. 371(2). 256–268. 16 indexed citations
4.
Faas, Laura, et al.. (2010). Conserved and novel roles for the Gsh2 transcription factor in primary neurogenesis. Development. 137(16). 2623–2631. 21 indexed citations
5.
Faas, Laura, et al.. (2009). Characterisation of the Fibroblast Growth Factor Dependent Transcriptome in Early Development. PLoS ONE. 4(3). e4951–e4951. 42 indexed citations
6.
Faas, Laura & Harry V. Isaacs. (2009). Overlapping functions of Cdx1, Cdx2, and Cdx4 in the development of the amphibian Xenopus tropicalis. Developmental Dynamics. 238(4). 835–852. 50 indexed citations
7.
Wallace, Ian S., et al.. (2008). A water-specific aquaporin involved in aphid osmoregulation. Insect Biochemistry and Molecular Biology. 39(1). 1–10. 174 indexed citations
8.
Tindall, Andrew J., Ian D. Morris, Mary Elizabeth Pownall, & Harry V. Isaacs. (2007). Expression of enzymes involved in thyroid hormone metabolism during the early development of Xenopus tropicalis. Biology of the Cell. 99(3). 151–163. 34 indexed citations
9.
Dillon, G., et al.. (2007). Patterns of gene expression in schistosomes: localization by whole mountin situhybridization. Parasitology. 134(11). 1589–1597. 41 indexed citations
10.
Price, Daniel R. G., Alison J. Karley, David A. Ashford, et al.. (2007). Molecular characterisation of a candidate gut sucrase in the pea aphid, Acyrthosiphon pisum. Insect Biochemistry and Molecular Biology. 37(4). 307–317. 53 indexed citations
11.
Keenan, Iain D., R. M. Sharrard, & Harry V. Isaacs. (2006). FGF signal transduction and the regulation of Cdx gene expression. Developmental Biology. 299(2). 478–488. 66 indexed citations
12.
Pownall, Mary Elizabeth, Bryan E. Welm, Kevin W. Freeman, et al.. (2003). An inducible system for the study of FGF signalling in early amphibian development. Developmental Biology. 256(1). 90–100. 34 indexed citations
13.
Yokota, Chika, Matthew Kofron, Douglas W. Houston, et al.. (2003). A novel role for a nodal-related protein; Xnr3 regulates convergent extension movements via the FGF receptor. Development. 130(10). 2199–2212. 79 indexed citations
14.
Fisher, Malcolm E, Harry V. Isaacs, & Mary Elizabeth Pownall. (2002). eFGF is required for activation ofXmyoDexpression in the myogenic cell lineage ofXenopus laevis. Development. 129(6). 1307–1315. 60 indexed citations
15.
Isaacs, Harry V., et al.. (1998). Expression and functions of FGF-3 in Xenopus development. The International Journal of Developmental Biology. 42(8). 1101–117. 78 indexed citations
16.
Isaacs, Harry V., Mary Elizabeth Pownall, & Jonathan Slack. (1995). eFGF is expressed in the dorsal midline of Xenopus laevis. The International Journal of Developmental Biology. 39(4). 575–579. 68 indexed citations
17.
Slack, Jonathan & Harry V. Isaacs. (1994). The role of fibroblast growth factors in early Xenopus development. Biochemical Society Transactions. 22(3). 585–589. 8 indexed citations
18.
Tannahill, David, et al.. (1992). Developmental expression of the Xenopus int-2 (FGF-3) gene: activation by mesodermal and neural induction. Development. 115(3). 695–702. 118 indexed citations
19.
Slack, J. M. W., et al.. (1990). Mesoderm induction by fibroblast growth factor in early Xenopus development. Philosophical transactions of the Royal Society of London. Series B, Biological sciences. 327(1239). 75–84. 19 indexed citations
20.
Isaacs, Harry V., et al.. (1974). Syndrome of continuous muscle fibre activity. South African Medical Journal. 48(8). 6 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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