John R Rayner

2.9k total citations · 1 hit paper
15 papers, 2.5k citations indexed

About

John R Rayner is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, John R Rayner has authored 15 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 4 papers in Genetics and 2 papers in Oncology. Recurrent topics in John R Rayner's work include Virus-based gene therapy research (3 papers), Viral Infectious Diseases and Gene Expression in Insects (3 papers) and RNA Interference and Gene Delivery (3 papers). John R Rayner is often cited by papers focused on Virus-based gene therapy research (3 papers), Viral Infectious Diseases and Gene Expression in Insects (3 papers) and RNA Interference and Gene Delivery (3 papers). John R Rayner collaborates with scholars based in Australia, United States and India. John R Rayner's co-authors include Thomas J. Gonda, Robyn Starr, Brendan J. Jenkins, Douglas J. Hilton, Leecia J. Murray, Warren S. Alexander, Tracy A. Willson, Elizabeth M. Viney, Nicos A. Nicola and D Metcalf and has published in prestigious journals such as Nature, Blood and The Journal of Immunology.

In The Last Decade

John R Rayner

15 papers receiving 2.5k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A family of cytokine-inducible inhibitors of signalling

1997 1.8k citations Robyn Starr, Tracy A. Willson et al. Nature profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
John R Rayner Australia	13	1.4k	1.1k	1.0k	298	280	15	2.5k
Takahisa Sugita Japan	21	1.0k 0.7×	1.6k 1.4×	1.9k 1.9×	1.3k 4.5×	99 0.4×	55	4.0k
Leecia J. Murray Australia	6	1.3k 0.9×	936 0.8×	604 0.6×	225 0.8×	282 1.0×	8	2.0k
Angelika Hoffmeyer Germany	18	837 0.6×	1.3k 1.2×	1.1k 1.0×	342 1.1×	84 0.3×	18	2.7k
Ulrike Schindler United States	35	2.7k 1.9×	3.3k 2.9×	2.4k 2.3×	761 2.6×	415 1.5×	63	6.6k
S. Jaharul Haque United States	28	980 0.7×	981 0.9×	1.0k 1.0×	433 1.5×	130 0.5×	58	2.5k
Stewart Leung United States	24	1.5k 1.1×	1.8k 1.6×	1.2k 1.2×	654 2.2×	203 0.7×	29	3.4k
Chilakamarti V. Ramana United States	23	1.3k 0.9×	1.5k 1.3×	1.4k 1.3×	454 1.5×	65 0.2×	42	3.2k
Gerald Ranges United States	23	554 0.4×	1.4k 1.2×	785 0.8×	240 0.8×	56 0.2×	37	2.7k
Joanna M. Woodcock Australia	32	681 0.5×	1.4k 1.2×	1.3k 1.3×	115 0.4×	47 0.2×	65	3.1k
T D Geppert United States	24	680 0.5×	1.7k 1.5×	1.3k 1.3×	450 1.5×	46 0.2×	35	3.2k

Countries citing papers authored by John R Rayner

Since Specialization

Citations

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

Fields of papers citing papers by John R Rayner

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John R Rayner

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

All Works

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15 of 15 papers shown

Ling, King‐Hwa, Peter J Brautigan, Christopher N Hahn, et al.. (2011). Deep sequencing analysis of the developing mouse brain reveals a novel microRNA. BMC Genomics. 12(1). 176–176. 49 indexed citations

Mourtada‐Maarabouni, Mirna, Lucy Kirkham, Brendan J. Jenkins, et al.. (2003). Functional expression cloning reveals proapoptotic role for protein phosphatase 4. Cell Death and Differentiation. 10(9). 1016–1024. 37 indexed citations

Ghandour, Ghassan, et al.. (2000). B‐lymphocyte quiescence, tolerance and activation as viewed by global gene expression profiling on microarrays. Immunological Reviews. 176(1). 216–246. 143 indexed citations

Starr, Robyn, Tracy A. Willson, Elizabeth M. Viney, et al.. (1997). A family of cytokine-inducible inhibitors of signalling. Nature. 387(6636). 917–921. 1788 indexed citations breakdown →

Zannettino, Andrew C.W., et al.. (1996). A powerful new technique for isolating genes encoding cell surface antigens using retroviral expression cloning. The Journal of Immunology. 156(2). 611–620. 47 indexed citations

Perrem, Kilian, John R Rayner, Till S. Voss, et al.. (1995). p53 represses SV40 transcription by preventing formation of transcription complexes.. PubMed. 11(7). 1299–307. 16 indexed citations

Rayner, John R & Thomas J. Gonda. (1994). A Simple and Efficient Procedure for Generating Stable Expression Libraries by cDNA Cloning in a Retroviral Vector. Molecular and Cellular Biology. 14(2). 880–887. 68 indexed citations

Jackson, P., Patricia Ridgway, John R Rayner, June Noble, & Antony W. Braithwaite. (1994). Transcriptional Regulation of the PCNA Promoter by p53. Biochemical and Biophysical Research Communications. 203(1). 133–140. 41 indexed citations

Rayner, John R, et al.. (1994). A mutation of the common receptor subunit for interleukin-3 (IL-3), granulocyte-macrophage colony-stimulating factor, and IL-5 that leads to ligand independence and tumorigenicity. Blood. 83(10). 2802–2808. 49 indexed citations

10.

Rayner, John R & Thomas J. Gonda. (1994). A simple and efficient procedure for generating stable expression libraries by cDNA cloning in a retroviral vector.. Molecular and Cellular Biology. 14(2). 880–887. 40 indexed citations

11.

Michaelson, David, et al.. (1992). Cationic defensins arise from charge-neutralized propeptides: a mechanism for avoiding leukocyte autocytotoxicity?. Journal of Leukocyte Biology. 51(6). 634–639. 109 indexed citations

12.

Ganz, Tomas, et al.. (1989). The structure of the rabbit macrophage defensin genes and their organ-specific expression.. The Journal of Immunology. 143(4). 1358–1365. 81 indexed citations

13.

Rayner, John R, William H. Cover, Ronny Martínez, & Sydney C. Rittenberg. (1985). Bdellovibrio bacteriovorus synthesizes an OmpF-like outer membrane protein during both axenic and intraperiplasmic growth. Journal of Bacteriology. 163(2). 595–599. 8 indexed citations

14.

Rayner, John R & Joseph T. Wiskich. (1983). Development of NADH Oxidation by Red Beet Mitochondria on Slicing and Aging of The Tissues. Australian Journal of Plant Physiology. 10(1). 55–65. 10 indexed citations

15.

Day, David A., John R Rayner, & Joseph T. Wiskich. (1976). Characteristics of External NADH Oxidation by Beetroot Mitochondria. PLANT PHYSIOLOGY. 58(1). 38–42. 33 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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