Chad M. Wayne

898 total citations
8 papers, 729 citations indexed

About

Chad M. Wayne is a scholar working on Genetics, Reproductive Medicine and Molecular Biology. According to data from OpenAlex, Chad M. Wayne has authored 8 papers receiving a total of 729 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Genetics, 5 papers in Reproductive Medicine and 4 papers in Molecular Biology. Recurrent topics in Chad M. Wayne's work include Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (6 papers), Sperm and Testicular Function (4 papers) and Reproductive Biology and Fertility (3 papers). Chad M. Wayne is often cited by papers focused on Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (6 papers), Sperm and Testicular Function (4 papers) and Reproductive Biology and Fertility (3 papers). Chad M. Wayne collaborates with scholars based in United States. Chad M. Wayne's co-authors include JoAnne S. Richards, Miles Wilkinson, Manjeet K. Rao, Xiaodong Cheng, Heng-Yu Fan, Marvin L. Meistrich, James A. MacLean, Lisa D. White, Masayuki Shimada and Ignacio González and has published in prestigious journals such as Cell, Journal of Biological Chemistry and Endocrinology.

In The Last Decade

Chad M. Wayne

8 papers receiving 722 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chad M. Wayne United States 8 376 343 303 300 109 8 729
Merja Markkula Finland 15 414 1.1× 329 1.0× 382 1.3× 299 1.0× 66 0.6× 25 815
Keizo Tokuhiro Japan 14 420 1.1× 431 1.3× 286 0.9× 516 1.7× 93 0.9× 32 911
Sara Panigone Italy 5 269 0.7× 373 1.1× 104 0.3× 238 0.8× 114 1.0× 5 610
Tarja‐Leena Penttilä Finland 17 452 1.2× 263 0.8× 254 0.8× 393 1.3× 64 0.6× 23 828
David L’Hôte France 19 504 1.3× 325 0.9× 412 1.4× 354 1.2× 119 1.1× 33 1.0k
Ursula A. Vitt United States 12 674 1.8× 844 2.5× 208 0.7× 453 1.5× 85 0.8× 12 1.2k
Raffaella Rossetti Italy 17 539 1.4× 859 2.5× 569 1.9× 481 1.6× 121 1.1× 24 1.3k
Jean-François Éthier Canada 11 376 1.0× 321 0.9× 116 0.4× 203 0.7× 57 0.5× 12 633
Andrea Western New Zealand 9 419 1.1× 494 1.4× 151 0.5× 187 0.6× 53 0.5× 10 639
M Post Netherlands 8 496 1.3× 352 1.0× 380 1.3× 483 1.6× 42 0.4× 8 891

Countries citing papers authored by Chad M. Wayne

Since Specialization
Citations

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

Fields of papers citing papers by Chad M. Wayne

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chad M. Wayne

This figure shows the co-authorship network connecting the top 25 collaborators of Chad M. Wayne. A scholar is included among the top collaborators of Chad M. Wayne 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 Chad M. Wayne. Chad M. Wayne 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.
MacLean, James A., Zhiying Hu, H. C. Song, et al.. (2013). The RHOX Homeodomain Proteins Regulate the Expression of Insulin and Other Metabolic Regulators in the Testis. Journal of Biological Chemistry. 288(48). 34809–34825. 20 indexed citations
2.
Wayne, Chad M., Heng-Yu Fan, Xiaodong Cheng, & JoAnne S. Richards. (2007). Follicle-Stimulating Hormone Induces Multiple Signaling Cascades: Evidence that Activation of Rous Sarcoma Oncogene, RAS, and the Epidermal Growth Factor Receptor Are Critical for Granulosa Cell Differentiation. Molecular Endocrinology. 21(8). 1940–1957. 173 indexed citations
3.
González, Ignacio, Masayuki Shimada, Chad M. Wayne, et al.. (2006). Gene Expression Profiles of Cumulus Cell Oocyte Complexes during Ovulation Reveal Cumulus Cells Express Neuronal and Immune-Related Genes: Does this Expand Their Role in the Ovulation Process?. Molecular Endocrinology. 20(6). 1300–1321. 211 indexed citations
4.
MacLean, James A., Chad M. Wayne, Shirley R. Bruce, et al.. (2005). Rhox: A New Homeobox Gene Cluster. Cell. 120(3). 369–382. 170 indexed citations
5.
Rao, Manjeet K., Chad M. Wayne, Marvin L. Meistrich, & Miles Wilkinson. (2003). PemHomeobox Gene Promoter Sequences that Direct Transcription in a Sertoli Cell-Specific, Stage-Specific, and Androgen-Dependent Manner in the Testisin Vivo. Molecular Endocrinology. 17(2). 223–233. 62 indexed citations
6.
Wayne, Chad M., Keith A. Sutton, & Miles Wilkinson. (2002). Expression of thePemHomeobox Gene in Sertoli Cells Increases the Frequency of Adjacent Germ Cells with Deoxyribonucleic Acid Strand Breaks. Endocrinology. 143(12). 4875–4885. 22 indexed citations
7.
Rao, Manjeet K., Chad M. Wayne, & Miles Wilkinson. (2002). Pem Homeobox Gene Regulatory Sequences That Direct Androgen-dependent Developmentally Regulated Gene Expression in Different Subregions of the Epididymis. Journal of Biological Chemistry. 277(50). 48771–48778. 26 indexed citations
8.
Wayne, Chad M., James A. MacLean, Gail A. Cornwall, & Miles Wilkinson. (2002). Two novel human X-linked homeobox genes, hPEPP1 and hPEPP2 , selectively expressed in the testis. Gene. 301(1-2). 1–11. 45 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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