William T. Moore

4.0k total citations
80 papers, 3.1k citations indexed

About

William T. Moore is a scholar working on Molecular Biology, Immunology and Epidemiology. According to data from OpenAlex, William T. Moore has authored 80 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 16 papers in Immunology and 11 papers in Epidemiology. Recurrent topics in William T. Moore's work include Mass Spectrometry Techniques and Applications (9 papers), Complement system in diseases (8 papers) and Advanced Proteomics Techniques and Applications (7 papers). William T. Moore is often cited by papers focused on Mass Spectrometry Techniques and Applications (9 papers), Complement system in diseases (8 papers) and Advanced Proteomics Techniques and Applications (7 papers). William T. Moore collaborates with scholars based in United States, Jordan and India. William T. Moore's co-authors include Richard M. Caprioli, John D. Lambris, Peter J. Davies, George R. Bousfield, D N Ward, Bercedis L. Peterson, Ronald E. Aubert, Jeffrey P. Koplan, Cathy Bailey and William H. Herman and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Annals of Internal Medicine.

In The Last Decade

William T. Moore

76 papers receiving 2.9k 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 T. Moore United States 33 805 676 610 488 347 80 3.1k
Dominique Porquet France 22 932 1.2× 247 0.4× 321 0.5× 251 0.5× 213 0.6× 87 2.5k
Roni T. Falk United States 39 1.2k 1.5× 1.3k 1.9× 640 1.0× 252 0.5× 1.1k 3.2× 132 5.4k
Kyoungmi Kim United States 29 1.7k 2.1× 798 1.2× 229 0.4× 298 0.6× 376 1.1× 103 3.8k
Elisabeth Granström Sweden 39 1.3k 1.6× 234 0.3× 278 0.5× 534 1.1× 671 1.9× 104 5.8k
Glen L. Hortin United States 37 1.8k 2.2× 221 0.3× 312 0.5× 279 0.6× 237 0.7× 117 3.9k
R. Neal Pinckard United States 43 1.8k 2.2× 459 0.7× 389 0.6× 1.6k 3.4× 249 0.7× 96 6.6k
Xavier Collet France 39 1.9k 2.3× 458 0.7× 999 1.6× 554 1.1× 209 0.6× 90 4.6k
David S. Loose United States 30 1.3k 1.6× 258 0.4× 471 0.8× 288 0.6× 419 1.2× 70 2.8k
Masato Maekawa Japan 33 1.6k 2.0× 335 0.5× 190 0.3× 392 0.8× 316 0.9× 222 3.9k
Alfred L. Yergey United States 32 1.0k 1.3× 179 0.3× 770 1.3× 212 0.4× 338 1.0× 81 3.2k

Countries citing papers authored by William T. Moore

Since Specialization
Citations

This map shows the geographic impact of William T. Moore'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 T. Moore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William T. Moore more than expected).

Fields of papers citing papers by William T. Moore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of William T. Moore

This figure shows the co-authorship network connecting the top 25 collaborators of William T. Moore. A scholar is included among the top collaborators of William T. Moore 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 T. Moore. William T. Moore 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.
Li, Wenyang, Peter V. Sguigna, Hisham Salahuddin, et al.. (2025). Detection of Varicella Zoster Virus Reactivation in Cerebrospinal Fluid in Ischemic Stroke or Transient Ischemic Attack. Journal of the American Heart Association. 14(13). e039489–e039489.
2.
Moore, William T., et al.. (2025). Acetaminophen’s Role in Autism and ADHD: A Mitochondrial Perspective. International Journal of Molecular Sciences. 26(17). 8585–8585. 1 indexed citations
3.
Becker, Matthew H., et al.. (2024). Praziquantel resistance in schistosomes: a brief report. SHILAP Revista de lepidopterología. 3. 1471451–1471451. 4 indexed citations
4.
Moore, William T., et al.. (2024). The Other Side of the Perfect Cup: Coffee-Derived Non-Polyphenols and Their Roles in Mitigating Factors Affecting the Pathogenesis of Type 2 Diabetes. International Journal of Molecular Sciences. 25(16). 8966–8966.
5.
Kinsler, Veronica A., et al.. (2020). Misaligned foveal morphology and sector retinal dysfunction in AKT1-mosaic Proteus syndrome. Documenta Ophthalmologica. 142(1). 119–126. 2 indexed citations
6.
Patel, Ankur, Lucien Nedzi, Steven Lau, et al.. (2018). Neoadjuvant Stereotactic Radiosurgery Before Surgical Resection of Cerebral Metastases. World Neurosurgery. 120. e480–e487. 21 indexed citations
7.
Wang, Aihua, Jing Luo, William T. Moore, et al.. (2016). GPR30 regulates diet-induced adiposity in female mice and adipogenesis in vitro. Scientific Reports. 6(1). 34302–34302. 43 indexed citations
8.
Moore, William T., Lynn Gargan, Daniel C. Bowers, et al.. (2014). Pleomorphic Xanthoastrocytoma of Childhood: MR Imaging and Diffusion MR Imaging Features. American Journal of Neuroradiology. 35(11). 2192–2196. 33 indexed citations
9.
Koral, Korgün, S. Zhang, Lynn Gargan, et al.. (2013). Diffusion MRI Improves the Accuracy of Preoperative Diagnosis of Common Pediatric Cerebellar Tumors among Reviewers with Different Experience Levels. American Journal of Neuroradiology. 34(12). 2360–2365. 11 indexed citations
10.
Butnev, Vladimir Y., et al.. (2001). Characterization of human FSH isoforms reveals a nonglycosylated beta-subunit in addition to the conventional glycosylated beta-subunit. Holmes Museum Of Anthropology (Wichita State University). 31 indexed citations
11.
Sarrias, Maria‐Rosa, Silvia Franchini, Gabriela Canziani, et al.. (2001). Kinetic Analysis of the Interactions of Complement Receptor 2 (CR2, CD21) with Its Ligands C3d, iC3b, and the EBV Glycoprotein gp350/220. The Journal of Immunology. 167(3). 1490–1499. 70 indexed citations
12.
Sahu, Arvind, Athena M. Soulika, Dimitrios Morikis, et al.. (2000). Binding Kinetics, Structure-Activity Relationship, and Biotransformation of the Complement Inhibitor Compstatin. The Journal of Immunology. 165(5). 2491–2499. 91 indexed citations
13.
Sahu, Arvind, J. Oriol Sunyer, William T. Moore, et al.. (1998). Structure, functions, and evolution of the third complement component and viral molecular mimicry. Immunologic Research. 17(1-2). 109–121. 22 indexed citations
14.
Moore, William T.. (1997). [23] Laser desorption mass spectrometry. Methods in enzymology on CD-ROM/Methods in enzymology. 289. 520–542. 22 indexed citations
15.
Bousfield, George R., et al.. (1996). Structural features of mammalian gonadotropins. Molecular and Cellular Endocrinology. 125(1-2). 3–19. 87 indexed citations
16.
Butnev, Viktor Y., et al.. (1996). Glycosylated equine prolactin and its carbohydrate moiety. Journal of Protein Chemistry. 15(5). 413–426. 3 indexed citations
17.
Caprioli, Richard M. & William T. Moore. (1990). [9] Continuous-flow fast atom bombardment mass spectrometry. Methods in enzymology on CD-ROM/Methods in enzymology. 193. 214–237. 91 indexed citations
18.
19.
Raiti, Salvatore, et al.. (1987). Short-term treatment of short stature and subnormal growth rate with human growth hormone. The Journal of Pediatrics. 110(3). 357–361. 35 indexed citations
20.
McPherson, James C., William T. Moore, Jillian L. Pope, & Herbert C. Tidwell. (1964). Effect of Lipase Ingestion on Blood Lipid Levels.. Experimental Biology and Medicine. 115(2). 514–517. 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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