Daniel B. Williams

919 total citations
35 papers, 703 citations indexed

About

Daniel B. Williams is a scholar working on Public Health, Environmental and Occupational Health, Reproductive Medicine and Cellular and Molecular Neuroscience. According to data from OpenAlex, Daniel B. Williams has authored 35 papers receiving a total of 703 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Public Health, Environmental and Occupational Health, 15 papers in Reproductive Medicine and 7 papers in Cellular and Molecular Neuroscience. Recurrent topics in Daniel B. Williams's work include Reproductive Biology and Fertility (11 papers), Ovarian function and disorders (8 papers) and Assisted Reproductive Technology and Twin Pregnancy (6 papers). Daniel B. Williams is often cited by papers focused on Reproductive Biology and Fertility (11 papers), Ovarian function and disorders (8 papers) and Assisted Reproductive Technology and Twin Pregnancy (6 papers). Daniel B. Williams collaborates with scholars based in United States, United Kingdom and Eswatini. Daniel B. Williams's co-authors include Myles H. Akabas, Ellen F. Binder, Wendy M. Kohrt, Kenneth B. Schechtman, Michael A. Thomas, Stanley J. Birge, Anil Pinto, Mira Aubuchon, Jared C. Robins and Rose Maxwell and has published in prestigious journals such as Journal of Neuroscience, Annals of Internal Medicine and Journal of Applied Physiology.

In The Last Decade

Daniel B. Williams

35 papers receiving 686 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel B. Williams United States 15 244 194 162 125 104 35 703
G C Lachelin United Kingdom 11 274 1.1× 159 0.8× 257 1.6× 64 0.5× 94 0.9× 20 743
A Ruokonen Finland 13 318 1.3× 303 1.6× 214 1.3× 104 0.8× 314 3.0× 30 925
Helena Kaihola Sweden 19 178 0.7× 330 1.7× 86 0.5× 61 0.5× 145 1.4× 29 733
I Ben‐Shlomo Israel 17 254 1.0× 217 1.1× 120 0.7× 47 0.4× 154 1.5× 37 887
Giulia Brigante Italy 16 350 1.4× 205 1.1× 362 2.2× 143 1.1× 86 0.8× 58 924
Sophie Clarke United Kingdom 17 512 2.1× 247 1.3× 343 2.1× 186 1.5× 103 1.0× 44 1.1k
Rachel Roberts United Kingdom 11 259 1.1× 160 0.8× 180 1.1× 152 1.2× 58 0.6× 32 637
Mats Löfgren Sweden 18 163 0.7× 170 0.9× 40 0.2× 42 0.3× 44 0.4× 51 870
Andrea Schmid Germany 10 148 0.6× 81 0.4× 83 0.5× 167 1.3× 41 0.4× 17 884
Weiwei Xu China 14 130 0.5× 109 0.6× 424 2.6× 147 1.2× 49 0.5× 37 979

Countries citing papers authored by Daniel B. Williams

Since Specialization
Citations

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

Fields of papers citing papers by Daniel B. Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel B. Williams. 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 Daniel B. Williams. The network helps show where Daniel B. Williams may publish in the future.

Co-authorship network of co-authors of Daniel B. Williams

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel B. Williams. A scholar is included among the top collaborators of Daniel B. Williams 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 Daniel B. Williams. Daniel B. Williams 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.
Suraratdecha, Chutima, Duncan MacKellar, Dawud Ujamaa, et al.. (2022). Evaluation of Community-Based, Mobile HIV-Care, Peer-Delivered Linkage Case Management in Manzini Region, Eswatini. International Journal of Environmental Research and Public Health. 20(1). 38–38. 3 indexed citations
3.
Haddad, Ghassan, et al.. (2015). Assessment of aneuploidy formation in human blastocysts resulting from donated eggs and the necessity of the embryos for aneuploidy screening. Journal of Assisted Reproduction and Genetics. 32(6). 999–1006. 32 indexed citations
4.
Williams, Daniel B.. (2014). Inhibitory effects of insulin on GABAAcurrents modulated by the GABAAalpha subunit. Journal of Receptors and Signal Transduction. 35(6). 516–522. 3 indexed citations
5.
Williams, Daniel B.. (2011). A mutant residue in the third transmembrane region of the GABAA alpha1 subunit causes increased agonistic neurosteroid responses. Neurochemistry International. 58(7). 794–803. 3 indexed citations
6.
Thomas, Michael A., et al.. (2011). Endometrial thickness predicts endometrial hyperplasia in patients with polycystic ovary syndrome. Fertility and Sterility. 95(8). 2625–2627. 11 indexed citations
7.
Aubuchon, Mira, et al.. (2009). Follicle curetting at the time of oocyte retrieval increases the oocyte yield. Journal of Assisted Reproduction and Genetics. 26(6). 335–339. 10 indexed citations
8.
Aubuchon, Mira, et al.. (2008). Supervised short-term nutrition and exercise promotes weight loss in overweight and obese patients with polycystic ovary syndrome. Fertility and Sterility. 91(4). 1336–1338. 7 indexed citations
9.
Thomas, Michael A., et al.. (2006). Embryo morphology score on day 3 is predictive of implantation and live birth rates. Journal of Assisted Reproduction and Genetics. 23(4). 171–175. 33 indexed citations
10.
Robins, Jared C., et al.. (2005). The effect of multiple cycles in oocyte donors. American Journal of Obstetrics and Gynecology. 192(5). 1382–1384. 5 indexed citations
11.
Robins, Jared C., et al.. (2005). Stabilization and regression of a recurrent desmoid tumor with the antiestrogen toremifene. Fertility and Sterility. 84(2). 509.e11–509.e13. 9 indexed citations
12.
Robins, Jared C., et al.. (2005). The Motility of Epididymal or Testicular Spermatozoa Does Not Directly Affect IVF/ICSI Pregnancy Outcomes. Journal of Andrology. 26(5). 619–623. 12 indexed citations
13.
Pinto, Anil, et al.. (2003). Effects of trimonthly progestin administration on the endometrium in elderly postmenopausal women who receive hormone replacement therapy: A pilot study. American Journal of Obstetrics and Gynecology. 189(1). 11–15. 5 indexed citations
14.
Williams, Daniel B. & Myles H. Akabas. (2002). Structural Evidence that Propofol Stabilizes Different GABAAReceptor States at Potentiating and Activating Concentrations. Journal of Neuroscience. 22(17). 7417–7424. 45 indexed citations
15.
Williams, Daniel B. & Myles H. Akabas. (2001). Evidence for distinct conformations of the two α1 subunits in diazepam-bound GABAA receptors. Neuropharmacology. 41(5). 539–545. 18 indexed citations
16.
Binder, Ellen F., Kenneth B. Schechtman, Stanley J. Birge, Daniel B. Williams, & Wendy M. Kohrt. (2001). Effects of hormone replacement therapy on cognitive performance in elderly women. Maturitas. 38(2). 137–146. 103 indexed citations
17.
Williams, Daniel B.. (1999). Great expectations and the grapes of wrath: contamination of contact lenses.. PubMed. 10(7). 10–3. 4 indexed citations
18.
Williams, Daniel B., et al.. (1996). Prevention and Treatment of Ovarian Hyperstimulation Syndrome. Seminars in Reproductive Medicine. 14(4). 355–365. 15 indexed citations
19.
Schlaff, William D., et al.. (1995). The empiric use of gonadotropin therapy and intrauterine insemination. American Journal of Obstetrics and Gynecology. 172(2). 778–782. 3 indexed citations
20.
Eilts, B.E., Daniel B. Williams, & E. Barry Moser. (1993). Ultrasonic measurement of canine testes. Theriogenology. 40(4). 819–828. 10 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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