Karen L. Reader

2.3k total citations
38 papers, 1.7k citations indexed

About

Karen L. Reader is a scholar working on Public Health, Environmental and Occupational Health, Molecular Biology and Reproductive Medicine. According to data from OpenAlex, Karen L. Reader has authored 38 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Public Health, Environmental and Occupational Health, 23 papers in Molecular Biology and 6 papers in Reproductive Medicine. Recurrent topics in Karen L. Reader's work include Reproductive Biology and Fertility (27 papers), Renal and related cancers (10 papers) and TGF-β signaling in diseases (10 papers). Karen L. Reader is often cited by papers focused on Reproductive Biology and Fertility (27 papers), Renal and related cancers (10 papers) and TGF-β signaling in diseases (10 papers). Karen L. Reader collaborates with scholars based in New Zealand, United Kingdom and Finland. Karen L. Reader's co-authors include Jennifer L. Juengel, Kenneth P. McNatty, Olli Ritvos, Stan Lun, Peter R. Smith, Nigel P. Groome, Steve Lawrence, N. L. Hudson, Jo‐Ann L. Stanton and D. A. Heath and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Comparative Neurology and Journal of Cell Science.

In The Last Decade

Karen L. Reader

36 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Karen L. Reader New Zealand 21 1.4k 895 487 457 313 38 1.7k
Mateus José Sudano Brazil 18 753 0.6× 384 0.4× 404 0.8× 195 0.4× 245 0.8× 89 1.3k
Y.H. Choi United States 22 970 0.7× 393 0.4× 724 1.5× 184 0.4× 300 1.0× 47 1.3k
F.M.F. van Dissel-Emiliani Netherlands 16 361 0.3× 436 0.5× 453 0.9× 240 0.5× 85 0.3× 23 929
Marie-Claude Léveillé Canada 16 568 0.4× 253 0.3× 466 1.0× 127 0.3× 98 0.3× 28 900
Magosaburo Kasai Japan 31 2.4k 1.8× 1.1k 1.3× 1.9k 3.9× 307 0.7× 109 0.3× 79 3.0k
Kaori Nozawa Japan 17 486 0.4× 450 0.5× 502 1.0× 363 0.8× 29 0.1× 40 1.0k
Michael J. Wolkowicz United States 18 501 0.4× 567 0.6× 649 1.3× 340 0.7× 21 0.1× 20 1.3k
Xianhong Tong China 19 633 0.5× 336 0.4× 681 1.4× 101 0.2× 57 0.2× 49 1.6k
A. O’Doherty Ireland 20 274 0.2× 428 0.5× 223 0.5× 281 0.6× 95 0.3× 53 1.3k
H. M. Beier Germany 21 451 0.3× 137 0.2× 475 1.0× 149 0.3× 247 0.8× 51 1.1k

Countries citing papers authored by Karen L. Reader

Since Specialization
Citations

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

Fields of papers citing papers by Karen L. Reader

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Karen L. Reader. 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 Karen L. Reader. The network helps show where Karen L. Reader may publish in the future.

Co-authorship network of co-authors of Karen L. Reader

This figure shows the co-authorship network connecting the top 25 collaborators of Karen L. Reader. A scholar is included among the top collaborators of Karen L. Reader 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 Karen L. Reader. Karen L. Reader 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.
Reader, Karen L., et al.. (2026). Uncovering mitotic ultrastructure in the native hair follicle using volume electron microscopy. Journal of Cell Science. 139(4).
2.
Reader, Karen L. & Jennifer L. Juengel. (2025). Insights into improving embryo survival in sheep. Domestic Animal Endocrinology. 92. 106938–106938. 1 indexed citations
3.
Juengel, Jennifer L., et al.. (2024). The role of the oviduct environment in embryo survival. Reproduction Fertility and Development. 36(5). 2 indexed citations
4.
Reader, Karen L., et al.. (2022). Activin B and Activin C Have Opposing Effects on Prostate Cancer Progression and Cell Growth. Cancers. 15(1). 147–147. 6 indexed citations
5.
Mehta, Sunali, Grégory Gimenez, Hamish G. Campbell, et al.. (2019). The Δ133p53β isoform promotes an immunosuppressive environment leading to aggressive prostate cancer. Cell Death and Disease. 10(9). 631–631. 32 indexed citations
6.
Reader, Karen L., et al.. (2017). The potential role of transforming growth factor beta family ligand interactions in prostate cancer. SHILAP Revista de lepidopterología. 4(1). 41–61. 3 indexed citations
7.
Reader, Karen L., Kailun Lee, Francesco Elia Marino, et al.. (2017). Over-Expression of Activin-βC Is Associated with Murine and Human Prostate Disease.. Hormones and Cancer. 8(2). 100–107. 3 indexed citations
8.
O’Connell, Anne R., et al.. (2016). Early embryo loss, morphology, and effect of previous immunization against androstenedione in the ewe. Theriogenology. 86(5). 1285–1293. 20 indexed citations
9.
McNatty, Kenneth P., et al.. (2016). Ovarian characteristics in sheep with multiple fecundity genes. Reproduction. 153(2). 233–240. 18 indexed citations
10.
Reader, Karen L., N. R. Cox, Jo‐Ann L. Stanton, & Jennifer L. Juengel. (2015). Effects of acetyl-L-carnitine on lamb oocyte blastocyst rate, ultrastructure, and mitochondrial DNA copy number. Theriogenology. 83(9). 1484–1492. 31 indexed citations
11.
Reader, Karen L. & Elspeth Gold. (2015). Activins and activin antagonists in the human ovary and ovarian cancer. Molecular and Cellular Endocrinology. 415. 126–132. 10 indexed citations
13.
Reader, Karen L., D. A. Heath, Stan Lun, et al.. (2011). Signalling pathways involved in the cooperative effects of ovine and murine GDF9+BMP15-stimulated thymidine uptake by rat granulosa cells. Reproduction. 142(1). 123–131. 42 indexed citations
14.
McNatty, Kenneth P., D. A. Heath, N. L. Hudson, et al.. (2010). The conflict between hierarchical ovarian follicular development and superovulation treatment. Reproduction. 140(2). 287–294. 21 indexed citations
15.
Juengel, Jennifer L., et al.. (2006). The role of bone morphogenetic proteins 2, 4, 6 and 7 during ovarian follicular development in sheep: contrast to rat. Reproduction. 131(3). 501–513. 76 indexed citations
16.
McNatty, Kenneth P., Jennifer L. Juengel, Karen L. Reader, et al.. (2005). Bone morphogenetic protein 15 and growth differentiation factor 9 co-operate to regulate granulosa cell function in ruminants. Reproduction. 129(4). 481–487. 187 indexed citations
17.
McNatty, K. P., Peter R. Smith, L. G. Moore, et al.. (2005). Oocyte-expressed genes affecting ovulation rate. Molecular and Cellular Endocrinology. 234(1-2). 57–66. 120 indexed citations
18.
McNatty, K. P., L. G. Moore, N. L. Hudson, et al.. (2004). The oocyte and its role in regulating ovulation rate: a new paradigm in reproductive biology. Reproduction. 128(4). 379–386. 126 indexed citations
19.
Juengel, Jennifer L., N. L. Hudson, D. A. Heath, et al.. (2002). Growth Differentiation Factor 9 and Bone Morphogenetic Protein 15 Are Essential for Ovarian Follicular Development in Sheep1. Biology of Reproduction. 67(6). 1777–1789. 258 indexed citations
20.
Cree, Alison, Louis J. Guillette, & Karen L. Reader. (1996). Eggshell formation during prolonged gravidity of the tuataraSphenodon punctatus. Journal of Morphology. 230(2). 129–144. 14 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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