William E. Grever

479 total citations
18 papers, 377 citations indexed

About

William E. Grever is a scholar working on Molecular Biology, Developmental Neuroscience and Cellular and Molecular Neuroscience. According to data from OpenAlex, William E. Grever has authored 18 papers receiving a total of 377 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Developmental Neuroscience and 5 papers in Cellular and Molecular Neuroscience. Recurrent topics in William E. Grever's work include Neurogenesis and neuroplasticity mechanisms (6 papers), Molecular Biology Techniques and Applications (3 papers) and Neonatal and fetal brain pathology (2 papers). William E. Grever is often cited by papers focused on Neurogenesis and neuroplasticity mechanisms (6 papers), Molecular Biology Techniques and Applications (3 papers) and Neonatal and fetal brain pathology (2 papers). William E. Grever collaborates with scholars based in United States. William E. Grever's co-authors include Ian D. Duncan, William D. Lyman, Su-Chun Zhang, Graham C. Parker, Sharada D. Vangipuram, Michael C. Joiner, George Divine, Robert A. Thomas, Gregory W. Auner and James D. Tucker and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Biomaterials.

In The Last Decade

William E. Grever

18 papers receiving 369 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 E. Grever United States 12 141 104 82 59 58 18 377
Delphine Demeestere Belgium 7 232 1.6× 35 0.3× 81 1.0× 26 0.4× 120 2.1× 7 505
S. Tout Australia 10 264 1.9× 34 0.3× 69 0.8× 33 0.6× 16 0.3× 12 534
Camilla Bjørnbak Holst Denmark 8 139 1.0× 24 0.2× 65 0.8× 44 0.7× 47 0.8× 11 321
A. Thorpe United Kingdom 8 256 1.8× 45 0.4× 54 0.7× 75 1.3× 25 0.4× 9 541
Axel Haarmann Germany 12 102 0.7× 14 0.1× 120 1.5× 19 0.3× 18 0.3× 23 507
Z.M. Harris United States 5 105 0.7× 97 0.9× 50 0.6× 28 0.5× 34 0.6× 12 323
Takatoshi Tashima Japan 13 301 2.1× 20 0.2× 69 0.8× 22 0.4× 14 0.2× 23 594
Michael C. Molleston United States 7 78 0.6× 42 0.4× 56 0.7× 27 0.5× 12 0.2× 8 429
Julie Haukenfrers Canada 6 130 0.9× 28 0.3× 32 0.4× 12 0.2× 10 0.2× 9 298
Rongdi Yuan China 12 92 0.7× 51 0.5× 73 0.9× 16 0.3× 16 0.3× 40 322

Countries citing papers authored by William E. Grever

Since Specialization
Citations

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

Fields of papers citing papers by William E. Grever

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of William E. Grever

This figure shows the co-authorship network connecting the top 25 collaborators of William E. Grever. A scholar is included among the top collaborators of William E. Grever 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 E. Grever. William E. Grever is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Bowling, Andrew J., Heather E. Pence, Arantza Muriana, et al.. (2024). Applications of Zebrafish Embryo Models to Predict Developmental Toxicity for Agrochemical Product Development. Journal of Agricultural and Food Chemistry. 72(32). 18132–18145. 2 indexed citations
2.
Sharlow, Elizabeth R., et al.. (2022). High content screening miniaturization and single cell imaging of mature human feeder layer-free iPSC-derived neurons. SLAS DISCOVERY. 28(6). 275–283. 1 indexed citations
3.
Lehr, Victoria Tutag, et al.. (2014). Randomized Placebo-controlled Trial of Sucrose Analgesia on Neonatal Skin Blood Flow and Pain Response During Heel Lance. Clinical Journal of Pain. 31(5). 451–458. 16 indexed citations
4.
Tucker, James D., Michael C. Joiner, Robert A. Thomas, et al.. (2014). Accurate Gene Expression-Based Biodosimetry Using a Minimal Set of Human Gene Transcripts. International Journal of Radiation Oncology*Biology*Physics. 88(4). 933–939. 40 indexed citations
5.
Tucker, James D., George Divine, William E. Grever, et al.. (2013). Gene Expression-Based Dosimetry by Dose and Time in Mice Following Acute Radiation Exposure. PLoS ONE. 8(12). e83390–e83390. 14 indexed citations
6.
Tucker, James D., William E. Grever, Michael C. Joiner, et al.. (2012). Gene Expression-Based Detection of Radiation Exposure in Mice after Treatment with Granulocyte Colony-Stimulating Factor and Lipopolysaccharide. Radiation Research. 177(2). 209–219. 15 indexed citations
7.
Joiner, Michael C., Robert A. Thomas, William E. Grever, et al.. (2011). Developing point of care and high-throughput biological assays for determining absorbed radiation dose. Radiotherapy and Oncology. 101(1). 233–236. 17 indexed citations
8.
Black, Carolyn, James H. Resau, Richard West, et al.. (2009). Are we implanting catheters that facilitate shunt failure?. SHILAP Revista de lepidopterología. 6(S1). 2 indexed citations
9.
Vangipuram, Sharada D., William E. Grever, Graham C. Parker, & William D. Lyman. (2007). Ethanol Increases Fetal Human Neurosphere Size and Alters Adhesion Molecule Gene Expression. Alcoholism Clinical and Experimental Research. 32(2). 339–347. 53 indexed citations
10.
Tang, Haiying, William E. Grever, K. Y. Simon Ng, et al.. (2005). Evaluation of polymer and self-assembled monolayer-coated silicone surfaces to reduce neural cell growth. Biomaterials. 27(8). 1519–1526. 26 indexed citations
11.
Grever, William E., et al.. (2001). Induction of human β‐defensin‐2 expression in human astrocytes by lipopolysaccharide and cytokines. Journal of Neurochemistry. 77(4). 1027–1035. 65 indexed citations
12.
Barami, Kaveh, et al.. (2001). An efficient method for the culturing and generation of neurons and astrocytes from second trimester human central nervous system tissue. Neurological Research. 23(4). 321–326. 13 indexed citations
13.
Grever, William E., et al.. (1999). Fractionation and enrichment of oligodendrocytes from developing human brain. Journal of Neuroscience Research. 57(3). 304–314. 14 indexed citations
14.
Grever, William E., et al.. (1999). Fractionation and Enrichment of Oligodendrocytes from Developing Human Brain. Pediatric Research. 45(4, Part 2 of 2). 342A–342A. 1 indexed citations
15.
Grever, William E., et al.. (1999). Fractionation and enrichment of oligodendrocytes from developing human brain. Journal of Neuroscience Research. 57(3). 304–314. 1 indexed citations
16.
Grever, William E., et al.. (1997). Oligodendrocyte gene expression in the human fetal spinal cord during the second trimester of gestation. Journal of Neuroscience Research. 47(3). 332–340. 16 indexed citations
17.
Duncan, Ian D., William E. Grever, & Su-Chun Zhang. (1997). Repair of myelin disease: strategies and progress in animal models. Molecular Medicine Today. 3(12). 554–561. 76 indexed citations
18.
Grever, William E., et al.. (1996). Quantification of myelin basic protein in the human fetal spinal cord during the midtrimester of gestation. The Journal of Comparative Neurology. 376(2). 306–314. 5 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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