Wayne K. Greene

1.9k total citations
56 papers, 1.4k citations indexed

About

Wayne K. Greene is a scholar working on Molecular Biology, Genetics and Immunology. According to data from OpenAlex, Wayne K. Greene has authored 56 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 9 papers in Genetics and 9 papers in Immunology. Recurrent topics in Wayne K. Greene's work include Cancer-related gene regulation (9 papers), Vagus Nerve Stimulation Research (7 papers) and Food Allergy and Anaphylaxis Research (6 papers). Wayne K. Greene is often cited by papers focused on Cancer-related gene regulation (9 papers), Vagus Nerve Stimulation Research (7 papers) and Food Allergy and Anaphylaxis Research (6 papers). Wayne K. Greene collaborates with scholars based in Australia, China and United States. Wayne K. Greene's co-authors include Keith R. Oliver, Wayne R. Thomas, J. McComb, K.Y. Chua, Ursula R. Kees, Terence H. Rabbitts, W. F. Robinson, Bin Ma, Norma Masson and J. Meers and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Immunology and PLoS ONE.

In The Last Decade

Wayne K. Greene

55 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wayne K. Greene Australia 22 628 387 211 188 159 56 1.4k
Ronald Godiska United States 22 655 1.0× 139 0.4× 165 0.8× 130 0.7× 86 0.5× 25 2.2k
Élisabeth Petit France 29 498 0.8× 179 0.5× 75 0.4× 688 3.7× 142 0.9× 74 2.2k
BARBARA J. RUTLEDGE United States 18 761 1.2× 118 0.3× 175 0.8× 210 1.1× 270 1.7× 20 2.8k
Michael Breindl United States 24 1.1k 1.8× 218 0.6× 145 0.7× 627 3.3× 354 2.2× 42 2.0k
Matthew Moyle United States 17 1.1k 1.8× 98 0.3× 481 2.3× 228 1.2× 235 1.5× 25 2.3k
Nadine Antoine Belgium 20 521 0.8× 131 0.3× 44 0.2× 114 0.6× 210 1.3× 76 1.3k
Machiko Nishio Japan 31 588 0.9× 140 0.4× 146 0.7× 378 2.0× 1.4k 8.7× 114 2.5k
Jiřı́ Plachý Czechia 24 737 1.2× 79 0.2× 70 0.3× 351 1.9× 381 2.4× 74 1.9k
Jun Kusuda Japan 18 581 0.9× 109 0.3× 109 0.5× 179 1.0× 81 0.5× 44 1.7k
Jean-Claude Rousselle France 23 1.8k 2.9× 121 0.3× 77 0.4× 302 1.6× 152 1.0× 35 2.6k

Countries citing papers authored by Wayne K. Greene

Since Specialization
Citations

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

Fields of papers citing papers by Wayne K. Greene

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wayne K. Greene. 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 Wayne K. Greene. The network helps show where Wayne K. Greene may publish in the future.

Co-authorship network of co-authors of Wayne K. Greene

This figure shows the co-authorship network connecting the top 25 collaborators of Wayne K. Greene. A scholar is included among the top collaborators of Wayne K. Greene 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 Wayne K. Greene. Wayne K. Greene 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.
Adams, MJ, et al.. (2023). Bidirectional crosstalk between the peripheral nervous system and lymphoid tissues/organs. Frontiers in Immunology. 14. 1254054–1254054. 11 indexed citations
2.
Sharp, Margaret, et al.. (2023). Haemoglobin Epsilon as a Biomarker for the Molecular Detection of Canine Lymphoma. SHILAP Revista de lepidopterología. 47(1). 21–27.
3.
Wang, Tao, et al.. (2022). Development of a high-sensitivity and short-duration fluorescence in situ hybridization method for viral mRNA detection in HEK 293T cells. Frontiers in Cellular and Infection Microbiology. 12. 960938–960938. 2 indexed citations
4.
Nicholls, Philip K., et al.. (2019). Immunofluorescent characterization of innervation and nerve-immune cell neighborhood in mouse thymus. Cell and Tissue Research. 378(2). 239–254. 15 indexed citations
5.
Ma, Bin, et al.. (2018). Distribution of non-myelinating Schwann cells and their associations with leukocytes in mouse spleen revealed by immunofluorescence staining. European Journal of Histochemistry. 62(2). 2890–2890. 18 indexed citations
6.
Shi, Zhongli, Wayne K. Greene, Philip K. Nicholls, et al.. (2017). Immunofluorescent characterization of non-myelinating Schwann cells and their interactions with immune cells in mouse mesenteric lymph node. European Journal of Histochemistry. 61(3). 2827–2827. 12 indexed citations
7.
8.
Hashemi, Hassan, Mohammad Miraftab, Mohammad Reza Noori–Daloii, et al.. (2011). Mutation analysis of VSX1 and SOD1 in Iranian patients with keratoconus.. PubMed. 17. 3128–36. 57 indexed citations
9.
Gottardo, Nicholas G., Jette Ford, D.N. D’Souza, et al.. (2009). MEIS proteins as partners of the TLX1/HOX11 oncoprotein. Leukemia Research. 34(3). 358–363. 8 indexed citations
10.
Ayati, Mohsen, et al.. (2008). Association of TGIFLX/Y mRNA expression with prostate cancer. Medical Oncology. 26(1). 73–77. 11 indexed citations
11.
Greene, Wayne K., Yovina Sontani, Margaret Sharp, et al.. (2007). A promoter with bidirectional activity is located between TLX1/HOX11 and a divergently transcribed novel human gene. Gene. 391(1-2). 223–232. 7 indexed citations
12.
Rice, Kim L., Ursula R. Kees, & Wayne K. Greene. (2007). Transcriptional regulation of FHL1 by TLX1/HOX11 is dosage, cell-type and promoter context-dependent. Biochemical and Biophysical Research Communications. 367(3). 707–713. 8 indexed citations
13.
Izon, David J., et al.. (2007). TLX1/HOX11 transcription factor inhibits differentiation and promotes a non‐haemopoietic phenotype in murine bone marrow cells. British Journal of Haematology. 138(1). 54–67. 11 indexed citations
14.
Hoffmann, Katrin, et al.. (2004). A microarray model system identifies potential new target genes of the proto‐oncogene HOX11. Genes Chromosomes and Cancer. 41(4). 309–320. 17 indexed citations
15.
Watt, Paul M., Katrin Hoffmann, Wayne K. Greene, et al.. (2003). Specific alternative HOX11 transcripts are expressed in paediatric neural tumours and T-cell acute lymphoblastic leukaemia. Gene. 323. 89–99. 7 indexed citations
16.
Greene, Wayne K., Elizabeth Baker, Terence H. Rabbitts, & Ursula R. Kees. (1999). Genomic structure, tissue expression and chromosomal location of the LIM-only gene, SLIM1. Gene. 232(2). 203–207. 35 indexed citations
17.
Masson, Norma, Wayne K. Greene, & Terence H. Rabbitts. (1998). Optimal activation of an endogenous gene by HOX11 requires the NH 2- terminal 50 amine acids. Murdoch Research Repository (Murdoch University). 3 indexed citations
18.
Deplazes, Peter, W.J. Penhale, Wayne K. Greene, & Richard C. Thompson. (1995). Effect on humoral tolerance (IgG and IgE) in dogs by oral administration of ovalbumin and Der p I. Veterinary Immunology and Immunopathology. 45(3-4). 361–367. 14 indexed citations
19.
Greene, Wayne K., et al.. (1993). Extensive sequence variation of feline immunodeficiency virusenv genes in isolates from naturally infected cats. Archives of Virology. 133(1-2). 51–62. 39 indexed citations
20.
Greene, Wayne K., et al.. (1993). Nucleotide sequences of Australian isolates of the feline immunodeficiency virus: comparison with other feline lentiviruses. Archives of Virology. 132(3-4). 369–379. 31 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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