William L. Miller

4.3k total citations
119 papers, 3.5k citations indexed

About

William L. Miller is a scholar working on Public Health, Environmental and Occupational Health, Molecular Biology and Genetics. According to data from OpenAlex, William L. Miller has authored 119 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Public Health, Environmental and Occupational Health, 31 papers in Molecular Biology and 25 papers in Genetics. Recurrent topics in William L. Miller's work include Reproductive Biology and Fertility (26 papers), Ocular Surface and Contact Lens (22 papers) and Growth Hormone and Insulin-like Growth Factors (19 papers). William L. Miller is often cited by papers focused on Reproductive Biology and Fertility (26 papers), Ocular Surface and Contact Lens (22 papers) and Growth Hormone and Insulin-like Growth Factors (19 papers). William L. Miller collaborates with scholars based in United States, Sweden and United Kingdom. William L. Miller's co-authors include Joyce C. Wu, Huey-Jing Huang, J.L. Gaylor, Alison M. McDermott, Srihari Narayanan, Eileen Su-Rong Huang, Jan P.G. Bergmanson, Brian D. Strahl, Susan Laws and Jeffrey C. Webster and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

William L. Miller

115 papers receiving 3.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
William L. Miller United States 37 1.2k 972 791 776 591 119 3.5k
Francis J. Morgan Australia 33 574 0.5× 2.2k 2.2× 637 0.8× 815 1.1× 672 1.1× 70 4.4k
Sonja Grunewald Germany 34 1.7k 1.4× 668 0.7× 233 0.3× 2.1k 2.7× 193 0.3× 136 3.2k
Horacio Cárdenas United States 27 327 0.3× 1.2k 1.2× 337 0.4× 392 0.5× 99 0.2× 83 2.5k
B.J.A. Furr United Kingdom 22 153 0.1× 493 0.5× 876 1.1× 379 0.5× 437 0.7× 53 2.3k
Manabu Kurokawa United States 31 1.2k 1.0× 1.7k 1.8× 290 0.4× 949 1.2× 73 0.1× 72 3.4k
L. E. Gerschenson United States 24 224 0.2× 1.0k 1.1× 353 0.4× 197 0.3× 80 0.1× 66 2.3k
Marie‐Claire Orgebin‐Crist United States 40 1.6k 1.4× 1.7k 1.7× 885 1.1× 2.7k 3.5× 792 1.3× 115 4.5k
Nava Nevo Israel 21 694 0.6× 719 0.7× 166 0.2× 543 0.7× 108 0.2× 41 1.9k
S. Bauminger Israel 25 458 0.4× 671 0.7× 377 0.5× 462 0.6× 213 0.4× 51 2.3k
Arie B. Vaandrager Netherlands 37 341 0.3× 1.9k 1.9× 200 0.3× 160 0.2× 114 0.2× 90 3.8k

Countries citing papers authored by William L. Miller

Since Specialization
Citations

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

Fields of papers citing papers by William L. Miller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of William L. Miller

This figure shows the co-authorship network connecting the top 25 collaborators of William L. Miller. A scholar is included among the top collaborators of William L. Miller 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 William L. Miller. William L. Miller 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.
Aitsebaomo, A. Philip, et al.. (2019). Influence of Scleral Lens on Intraocular Pressure. 3(1). e1–e9. 18 indexed citations
3.
Aitsebaomo, A. Philip, et al.. (2018). Effect of Scleral Lens wear on Intraocular Pressure. Investigative Ophthalmology & Visual Science. 59(9). 1765–1765. 5 indexed citations
4.
Narayanan, Srihari, et al.. (2017). Reduction in inflammatory marker matrix metalloproteinase-9 following lid debridement with BlephEx. Investigative Ophthalmology & Visual Science. 58(8). 498–498. 4 indexed citations
5.
Nilsson, Maria, William L. Miller, Alejandro Cerviño, Jan P.G. Bergmanson, & Rune Brautaset. (2015). Evaluation of the anterior chamber angle in keratoconus and normal subjects. Contact Lens and Anterior Eye. 38(4). 277–282. 3 indexed citations
7.
Miller, William L., et al.. (2011). Comparison of Morning and Afternoon Osmolarity in Silicone Hydrogel Wearers and Non-contact Lens Wearers. Investigative Ophthalmology & Visual Science. 52(14). 6538–6538. 1 indexed citations
8.
Brautaset, Rune, Maria Nilsson, Norman E. Leach, et al.. (2008). Corneal and Conjunctival Epithelial Staining in Hydrogel Contact Lens Wearers. Eye & Contact Lens Science & Clinical Practice. 34(6). 312–316. 19 indexed citations
9.
Su, Pei, Joyce C. Wu, Jeffrey Sommer, et al.. (2005). Conditional Induction of Ovulation in Mice1. Biology of Reproduction. 73(4). 681–687. 4 indexed citations
10.
Guerra, José Luis López, et al.. (2004). The Effect of MultiPurpose Solutions on Human Cornea Cell under In Vivo Confocal Microscope. Investigative Ophthalmology & Visual Science. 45(13). 1533–1533.
11.
Leach, Norman E., et al.. (2004). Comparison of Central/ Peripheral Corneal Thickness and Central/ Peripheral Epithelial Thickness Measurements Using Three Different Instrumentation. Investigative Ophthalmology & Visual Science. 45(13). 3797–3797. 1 indexed citations
12.
Pernasetti, Flavia, Thomas J. Spady, Marjory L. Givens, et al.. (2003). Pituitary tumorigenesis targeted by the ovine follicle-stimulating hormone β-subunit gene regulatory region in transgenic mice. Molecular and Cellular Endocrinology. 203(1-2). 169–183. 13 indexed citations
13.
Huang, Huey-Jing, et al.. (2001). A Novel Role for Bone Morphogenetic Proteins in the Synthesis of Follicle-Stimulating Hormone*. Endocrinology. 142(6). 2275–2283. 84 indexed citations
14.
Huang, Huey-Jing, Joseph Sebastian, Brian D. Strahl, Joyce C. Wu, & William L. Miller. (2001). Transcriptional Regulation of the Ovine Follicle-Stimulating Hormone-β Gene by Activin and Gonadotropin-Releasing Hormone (GnRH): Involvement of Two Proximal Activator Protein-1 Sites for GnRH Stimulation*. Endocrinology. 142(6). 2267–2274. 61 indexed citations
15.
Jackson, Julie, et al.. (2000). (CL-189)THE INFLUENCE OF VOLTAREN ON OCULAR DISCOMFORT ASSOCIATED WITH ADAPTATION TO RIGID GAS PERMEABLE CONTACT LENSES. Optometry and Vision Science. 77(SUPPLEMENT). 254–254. 1 indexed citations
16.
Robinette, David, et al.. (1998). Antimicrobial activity in the skin of the channel catfish Ictalurus punctatus : characterization of broad-spectrum histone-like antimicrobial proteins. Cellular and Molecular Life Sciences. 54(5). 467–475. 136 indexed citations
17.
18.
Miller, William L., et al.. (1995). EYELID MARGIN SENSITIVITY AND INITIAL RGP COMFORT. Optometry and Vision Science. 72(SUPPLEMENT). 228–228. 2 indexed citations
19.
Weber, Peter, J.L.H. Ireland, Vasantha Padmanabhan, et al.. (1995). Isolation of Nine Different Biologically and Immunologically Active Molecular Variants of Bovine Follicular Inhibin1. Biology of Reproduction. 53(6). 1478–1488. 40 indexed citations
20.
Sealfon, Stuart C., et al.. (1994). Gonadal hormones and gonadotropin-releasing hormone (GnRH) alter messenger ribonucleic acid levels for GnRH receptors in sheep.. Endocrinology. 134(4). 1846–1850. 89 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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