William Becker

429 total citations
17 papers, 335 citations indexed

About

William Becker is a scholar working on Immunology, Molecular Biology and Pharmacology. According to data from OpenAlex, William Becker has authored 17 papers receiving a total of 335 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Immunology, 6 papers in Molecular Biology and 5 papers in Pharmacology. Recurrent topics in William Becker's work include Immune Cell Function and Interaction (5 papers), Cannabis and Cannabinoid Research (4 papers) and Immunotherapy and Immune Responses (4 papers). William Becker is often cited by papers focused on Immune Cell Function and Interaction (5 papers), Cannabis and Cannabinoid Research (4 papers) and Immunotherapy and Immune Responses (4 papers). William Becker collaborates with scholars based in United States, Poland and Sweden. William Becker's co-authors include Prakash Nagarkatti, Mitzi Nagarkatti, Kathryn Miranda, Nicholas Dopkins, Haider Rasheed Alrafas, Philip Brandon Busbee, Udai P. Singh, Saurabh Chatterjee, Lorenzo P. Menzel and Xiaoming Yang and has published in prestigious journals such as Journal of the American Chemical Society, The Journal of Immunology and Scientific Reports.

In The Last Decade

William Becker

17 papers receiving 329 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 Becker United States 10 168 92 56 55 51 17 335
Junyu Zhu China 12 212 1.3× 122 1.3× 38 0.7× 49 0.9× 31 0.6× 27 470
Baifa Sheng China 10 217 1.3× 78 0.8× 24 0.4× 38 0.7× 58 1.1× 12 391
Shengyan Xi China 13 200 1.2× 53 0.6× 54 1.0× 46 0.8× 25 0.5× 34 474
Chaofeng Hu China 10 162 1.0× 52 0.6× 81 1.4× 15 0.3× 34 0.7× 24 363
Jianping Xie China 11 235 1.4× 28 0.3× 32 0.6× 73 1.3× 48 0.9× 17 425
Qilin Fan China 10 345 2.1× 36 0.4× 35 0.6× 97 1.8× 75 1.5× 13 499
Reyhaneh Moradi‐Marjaneh Iran 10 183 1.1× 45 0.5× 29 0.5× 23 0.4× 20 0.4× 17 397
Beitian Jia China 7 171 1.0× 44 0.5× 74 1.3× 38 0.7× 25 0.5× 11 334
Buyun Kim South Korea 11 228 1.4× 51 0.6× 49 0.9× 25 0.5× 12 0.2× 25 402

Countries citing papers authored by William Becker

Since Specialization
Citations

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

Fields of papers citing papers by William Becker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of William Becker

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

All Works

17 of 17 papers shown
1.
Becker, William, et al.. (2025). Cancer cells accelerate exhaustion of persistently activated mouse CD4 + T cells. OncoImmunology. 14(1). 2521392–2521392. 3 indexed citations
2.
Becker, William, et al.. (2024). Second-generation checkpoint inhibitors and Treg depletion synergize with a mouse cancer vaccine in accordance with tumor microenvironment characterization. Journal for ImmunoTherapy of Cancer. 12(7). e008970–e008970. 10 indexed citations
3.
Saxena, Archana, Kathryn Miranda, William Becker, et al.. (2024). Regulation of Bacteroides acidifaciens by the aryl hydrocarbon receptor in IL-22-producing immune cells has sex-dependent consequential impact on colitis. Frontiers in Immunology. 15. 1444045–1444045. 5 indexed citations
4.
Miranda, Kathryn, William Becker, Philip Brandon Busbee, et al.. (2022). Yin and yang of cannabinoid CB1 receptor: CB1 deletion in immune cells causes exacerbation while deletion in non-immune cells attenuates obesity. iScience. 25(9). 104994–104994. 8 indexed citations
5.
Dopkins, Nicholas, et al.. (2021). Tryptamine Attenuates Experimental Multiple Sclerosis Through Activation of Aryl Hydrocarbon Receptor. Frontiers in Pharmacology. 11. 619265–619265. 39 indexed citations
6.
Becker, William, Haider Rasheed Alrafas, Kathryn Miranda, et al.. (2020). Activation of Cannabinoid Receptor 2 Prevents Colitis-Associated Colon Cancer through Myeloid Cell De-activation Upstream of IL-22 Production. iScience. 23(9). 101504–101504. 26 indexed citations
7.
Busbee, Philip Brandon, Lorenzo P. Menzel, Haider Rasheed Alrafas, et al.. (2020). Indole-3-carbinol prevents colitis and associated microbial dysbiosis in an IL-22–dependent manner. JCI Insight. 5(1). 114 indexed citations
8.
Yang, Xiaoming, Marpe Bam, William Becker, Prakash Nagarkatti, & Mitzi Nagarkatti. (2020). Long Noncoding RNA AW112010 Promotes the Differentiation of Inflammatory T Cells by Suppressing IL-10 Expression through Histone Demethylation. The Journal of Immunology. 205(4). 987–993. 31 indexed citations
9.
10.
Becker, William, Haider Rasheed Alrafas, Philip Brandon Busbee, et al.. (2020). Cannabinoid Receptor Activation on Haematopoietic Cells and Enterocytes Protects against Colitis. Journal of Crohn s and Colitis. 15(6). 1032–1048. 17 indexed citations
11.
Becker, William, Phani M. Gummadidala, Li Chen, et al.. (2019). Acute and short-term administrations of delta-9-tetrahydrocannabinol modulate major gut metabolomic regulatory pathways in C57BL/6 mice. Scientific Reports. 9(1). 10520–10520. 5 indexed citations
12.
Becker, William, Haider Rasheed Alrafas, Mitzi Nagarkatti, & Prakash Nagarkatti. (2019). Cannabinoids decrease intestinal permeability and induce colonic CD103+ dendritic cells to increase T regulatory cells leading to decreased murine colitis-associated colon cancer. The Journal of Immunology. 202(1_Supplement). 135.18–135.18. 1 indexed citations
13.
Becker, William & Prakash Nagarkatti. (2018). miR-466a Targeting of TGF-β2 Contributes to FoxP3+ Regulatory T Cell Differentiation in a Murine Model of Allogeneic Transplantation. Frontiers in Immunology. 9. 688–688. 22 indexed citations
14.
Becker, William, Mitzi Nagarkatti, & Prakash Nagarkatti. (2017). Δ9-tetrahydrocannabinol (THC) activation of cannabinoid receptors induces unique changes in the murine gut microbiome and associated induction of myeloid-derived suppressor cells and Th17 cells.. The Journal of Immunology. 198(Supplement_1). 218.11–218.11. 3 indexed citations
15.
Gyllenhammar, Hans, Ingiäld Hafström, P Borgeat, et al.. (1990). Dietary linoleate supplementation modulates formyl-peptide receptor expression and functional responses of rat neutrophils.. PubMed. 115(4). 487–96. 11 indexed citations
16.
Fischbach, Wolfgang, et al.. (1987). Leucocyte Elastase in Chronic Inflammatory Bowel Diseases: A Marker of Inflammatory Activity?. Digestion. 37(2). 88–95. 15 indexed citations
17.
Kuivila, Henry G. & William Becker. (1952). Rates of Chromic Acid Oxidation of Some Cyclanols1,2. Journal of the American Chemical Society. 74(21). 5329–5330. 9 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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