John D. Inglis

1.8k total citations · 1 hit paper
8 papers, 1.5k citations indexed

About

John D. Inglis is a scholar working on Molecular Biology, Genetics and Cell Biology. According to data from OpenAlex, John D. Inglis has authored 8 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Genetics and 2 papers in Cell Biology. Recurrent topics in John D. Inglis's work include CRISPR and Genetic Engineering (2 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (2 papers) and Sperm and Testicular Function (2 papers). John D. Inglis is often cited by papers focused on CRISPR and Genetic Engineering (2 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (2 papers) and Sperm and Testicular Function (2 papers). John D. Inglis collaborates with scholars based in United Kingdom and United States. John D. Inglis's co-authors include Iain L. Campbell, Michael B. A. Oldstone, Eliezer Masliah, Carmela R. Abraham, Lennart Mucke, Robert E. Hill, Howard J. Cooke, Kay Taylor, R.M. Speed and T. B. Hargreave and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

John D. Inglis

8 papers receiving 1.4k citations

Hit Papers

Neurologic disease induced in transgenic mice by cerebral... 1993 2026 2004 2015 1993 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John D. Inglis United Kingdom 7 710 475 389 277 262 8 1.5k
José Vidal Spain 20 480 0.7× 225 0.5× 224 0.6× 333 1.2× 124 0.5× 65 1.2k
Martin Leduc Canada 14 643 0.9× 280 0.6× 168 0.4× 50 0.2× 179 0.7× 28 1.2k
Francesco Galimi United States 18 965 1.4× 311 0.7× 130 0.3× 53 0.2× 172 0.7× 26 1.8k
Inna L. Botchkina United States 8 657 0.9× 99 0.2× 132 0.3× 479 1.7× 127 0.5× 11 1.4k
Poul Hyttel Denmark 27 1.6k 2.3× 509 1.1× 88 0.2× 237 0.9× 74 0.3× 104 2.3k
Grace Kennedy United States 9 854 1.2× 92 0.2× 207 0.5× 147 0.5× 321 1.2× 15 1.3k
Kevin A. Kelley United States 28 1.2k 1.7× 348 0.7× 139 0.4× 38 0.1× 379 1.4× 50 2.3k
Junli Zhao China 25 697 1.0× 192 0.4× 138 0.4× 36 0.1× 440 1.7× 76 1.8k
J D Gearhart United States 25 1.1k 1.6× 586 1.2× 61 0.2× 36 0.1× 160 0.6× 35 2.0k
Johannes Wilbertz Sweden 19 1.3k 1.9× 511 1.1× 40 0.1× 310 1.1× 103 0.4× 24 2.2k

Countries citing papers authored by John D. Inglis

Since Specialization
Citations

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

Fields of papers citing papers by John D. Inglis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John D. Inglis. 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 John D. Inglis. The network helps show where John D. Inglis may publish in the future.

Co-authorship network of co-authors of John D. Inglis

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

All Works

8 of 8 papers shown
1.
Prosser, J., John D. Inglis, Alison Condie, et al.. (1996). Degeneracy in human multicopy RBM (YRRM), a candidate spermatogenesis gene. Mammalian Genome. 7(11). 835–842. 42 indexed citations
2.
Ma, Kun, John D. Inglis, Andrew Sharkey, et al.. (1993). A Y chromosome gene family with RNA-binding protein homology: Candidates for the azoospermia factor AZF controlling human spermatogenesis. Cell. 75(7). 1287–1295. 421 indexed citations
3.
Campbell, Iain L., Carmela R. Abraham, Eliezer Masliah, et al.. (1993). Neurologic disease induced in transgenic mice by cerebral overexpression of interleukin 6.. Proceedings of the National Academy of Sciences. 90(21). 10061–10065. 861 indexed citations breakdown →
4.
Inglis, John D., Muriel Lee, & Robert E. Hill. (1993). Emk, a protein kinase with homologs in yeast maps to mouse Chromosome 19. Mammalian Genome. 4(7). 401–403. 27 indexed citations
5.
Inglis, John D. & Muriel Lee. (1993). A novel tyrosine kinase-related sequence on mouse Chromosome 5. Mammalian Genome. 4(5). 285–287. 2 indexed citations
6.
Inglis, John D., Muriel Lee, Duncan Davidson, & Robert E. Hill. (1991). Isolation of two cDNAs encoding novel α1-antichymotrypsin-like proteins in a murine chondrocytic cell line. Gene. 106(2). 213–220. 43 indexed citations
7.
Inglis, John D. & Robert E. Hill. (1991). The murine Spi-2 proteinase inhibitor locus: a multigene family with a hypervariable reactive site domain.. The EMBO Journal. 10(2). 255–261. 42 indexed citations
8.
Dorin, Julia R., John D. Inglis, & David J. Porteous. (1989). Selection for Precise Chromosomal Targeting of a Dominant Marker by Homologous Recombination. Science. 243(4896). 1357–1360. 34 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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