Joan Riley

8.0k total citations
44 papers, 1.0k citations indexed

About

Joan Riley is a scholar working on Molecular Biology, Oncology and Reproductive Medicine. According to data from OpenAlex, Joan Riley has authored 44 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 10 papers in Oncology and 9 papers in Reproductive Medicine. Recurrent topics in Joan Riley's work include Reproductive Health and Technologies (7 papers), Reproductive Biology and Fertility (5 papers) and Assisted Reproductive Technology and Twin Pregnancy (4 papers). Joan Riley is often cited by papers focused on Reproductive Health and Technologies (7 papers), Reproductive Biology and Fertility (5 papers) and Assisted Reproductive Technology and Twin Pregnancy (4 papers). Joan Riley collaborates with scholars based in United Kingdom, United States and Israel. Joan Riley's co-authors include Timothy W. Gant, Kelle H. Moley, Robert Augustin, Shudong Zhang, Satoshi Inoue, Martin J.S. Dyer, Gerald M. Cohen, Keith E. Latham, Young Gie Chung and D J Judah and has published in prestigious journals such as PLoS ONE, Hepatology and Oncogene.

In The Last Decade

Joan Riley

38 papers receiving 982 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joan Riley United Kingdom 16 620 199 196 156 96 44 1.0k
Maria Svetlova Russia 17 807 1.3× 181 0.9× 262 1.3× 70 0.4× 81 0.8× 40 1.1k
Sarit Larisch Israel 23 1.3k 2.0× 329 1.7× 163 0.8× 112 0.7× 104 1.1× 39 1.7k
Shiying Miao China 19 731 1.2× 158 0.8× 158 0.8× 114 0.7× 162 1.7× 62 1.0k
Uri Nir Israel 21 860 1.4× 182 0.9× 288 1.5× 123 0.8× 181 1.9× 56 1.3k
Joseph T. Tseng Taiwan 26 1.0k 1.6× 291 1.5× 277 1.4× 81 0.5× 108 1.1× 52 1.6k
Tien-Shun Yeh Taiwan 17 851 1.4× 219 1.1× 356 1.8× 64 0.4× 64 0.7× 25 1.2k
Yang Luo China 16 821 1.3× 111 0.6× 257 1.3× 104 0.7× 262 2.7× 49 1.2k
X Chen China 20 781 1.3× 435 2.2× 168 0.9× 44 0.3× 81 0.8× 58 1.3k
Kelwyn Thomas United States 17 830 1.3× 79 0.4× 95 0.5× 191 1.2× 260 2.7× 28 1.2k

Countries citing papers authored by Joan Riley

Since Specialization
Citations

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

Fields of papers citing papers by Joan Riley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joan Riley. 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 Joan Riley. The network helps show where Joan Riley may publish in the future.

Co-authorship network of co-authors of Joan Riley

This figure shows the co-authorship network connecting the top 25 collaborators of Joan Riley. A scholar is included among the top collaborators of Joan Riley 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 Joan Riley. Joan Riley 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.
2.
Goldman, Kara N., Caroline McCaffrey, Joan Riley, Emily S. Jungheim, & J. Grifo. (2022). Disaster preparedness in assisted reproductive technology. Fertility and Sterility. 118(2). 230–238.
3.
Bedrick, Bronwyn S., Tarun Jain, Katelin B. Nickel, Joan Riley, & Emily S. Jungheim. (2021). LIVE BIRTH AFTER PGT-A BY RACE IN THE UNITED STATES. Fertility and Sterility. 116(3). e321–e322. 1 indexed citations
4.
Spies, Nicholas C., Paula A. Balestrini, Mariano G. Buffone, et al.. (2021). Machine-learning algorithm incorporating capacitated sperm intracellular pH predicts conventional in vitro fertilization success in normospermic patients. Fertility and Sterility. 115(4). 930–939. 17 indexed citations
5.
Martin, Caitlin, et al.. (2020). IN VITRO FERTILIZATION OUTCOMES OF BLACK PATIENTS COMPARED TO WHITE PATIENTS IN A MIDWEST COHORT. Fertility and Sterility. 114(3). e563–e563. 1 indexed citations
6.
Newcomer, Erin, Guang Yang, Duanwen Shen, et al.. (2020). Photoacoustic laser effects in live mouse blastocysts: pilot safety studies of DNA damage from photoacoustic imaging doses. PubMed. 1(1). 53–58. 2 indexed citations
7.
Ashley‐Martin, Jillian, et al.. (2020). INFLUENCE OF ARTHRITIS AND TREATMENTS ON OVARIAN RESERVE: A PROSPECTIVE STUDY. Fertility and Sterility. 114(3). e89–e89.
8.
Molina, Lis C. Puga, et al.. (2020). Membrane Potential Determined by Flow Cytometry Predicts Fertilizing Ability of Human Sperm. Frontiers in Cell and Developmental Biology. 7. 387–387. 35 indexed citations
9.
Molina, Lis C. Puga, et al.. (2019). Sperm intracellular pH as a predictor of fertilization rate in normospermic infertile men undergoing in vitro fertilization. Fertility and Sterility. 112(3). e201–e202. 1 indexed citations
10.
Chen, Hailan, Ruby Shalom‐Feuerstein, Joan Riley, et al.. (2010). miR-7 and miR-214 are specifically expressed during neuroblastoma differentiation, cortical development and embryonic stem cells differentiation, and control neurite outgrowth in vitro. Biochemical and Biophysical Research Communications. 394(4). 921–927. 111 indexed citations
11.
Solyakov, Lev, Emre Sayan, Joan Riley, Amy Pointon, & Andrew B. Tobin. (2009). Regulation of p53 expression, phosphorylation and subcellular localization by a G-protein-coupled receptor. Oncogene. 28(41). 3619–3630. 11 indexed citations
12.
Inoue, Satoshi, Joan Riley, Timothy W. Gant, Martin J.S. Dyer, & Gerald M. Cohen. (2007). Apoptosis induced by histone deacetylase inhibitors in leukemic cells is mediated by Bim and Noxa. Leukemia. 21(8). 1773–1782. 104 indexed citations
13.
Augustin, Robert, Joan Riley, & Kelle H. Moley. (2005). GLUT8 Contains a [DE]XXXL[LI] Sorting Motif and Localizes to a Late Endosomal/Lysosomal Compartment. Traffic. 6(12). 1196–1212. 71 indexed citations
14.
Wyman, Amanda, Maggie Chi, Joan Riley, et al.. (2003). Syntaxin 4 Expression Affects Glucose Transporter 8 Translocation and Embryo Survival. Molecular Endocrinology. 17(10). 2096–2102. 17 indexed citations
15.
Gao, Shaorong, et al.. (2003). Somatic Cell-Like Features of Cloned Mouse Embryos Prepared with Cultured Myoblast Nuclei1. Biology of Reproduction. 69(1). 48–56. 121 indexed citations
16.
Davies, Reginald, Timothy P. Dalton, Marian L. Miller, et al.. (2002). Intrinsic Hepatic Phenotype Associated with the Cyp1a2 Gene as Shown by cDNA Expression Microarray Analysis of the Knockout Mouse. Environmental Health Perspectives. 6 indexed citations
17.
Stanley, Lesley A., H. George Mandel, Joan Riley, et al.. (1999). Mutations associated with in vivo aflatoxin B1-induced carcinogenesis need not be present in the in vitro transformations by this toxin. Cancer Letters. 137(2). 173–181. 2 indexed citations
18.
Riley, Joan. (1997). In vitro activation of the human Harvey-ras proto-oncogene by aflatoxin B1. Carcinogenesis. 18(5). 905–910. 20 indexed citations
19.
20.
Olubuyide, I O, et al.. (1991). The isolation and culture of DHBV-infected embryo and duckling hepatocytes and the effect of aflatoxin B1 or irradiation on these cells. British Journal of Cancer. 63(3). 378–385. 2 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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