William J. Turbitt

662 total citations
21 papers, 435 citations indexed

About

William J. Turbitt is a scholar working on Oncology, Immunology and Molecular Biology. According to data from OpenAlex, William J. Turbitt has authored 21 papers receiving a total of 435 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Oncology, 10 papers in Immunology and 7 papers in Molecular Biology. Recurrent topics in William J. Turbitt's work include Cancer Immunotherapy and Biomarkers (5 papers), Cancer, Stress, Anesthesia, and Immune Response (4 papers) and Immune Cell Function and Interaction (4 papers). William J. Turbitt is often cited by papers focused on Cancer Immunotherapy and Biomarkers (5 papers), Cancer, Stress, Anesthesia, and Immune Response (4 papers) and Immune Cell Function and Interaction (4 papers). William J. Turbitt collaborates with scholars based in United States, Netherlands and Italy. William J. Turbitt's co-authors include Lyse A. Norian, Connie J. Rogers, Courtney M. Peterson, Wendy Demark‐Wahnefried, Justin T. Gibson, Huicui Meng, Claire Buchta Rosean, K. Scott Weber, Rebecca C. Arend and Ana Calcagnotto and has published in prestigious journals such as The Journal of Immunology, Cancer Research and Immunological Reviews.

In The Last Decade

William J. Turbitt

21 papers receiving 430 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 J. Turbitt United States 10 167 163 126 110 88 21 435
Kunal Shah United Kingdom 12 92 0.6× 213 1.3× 122 1.0× 138 1.3× 119 1.4× 19 535
Shu Tan China 7 124 0.7× 154 0.9× 171 1.4× 26 0.2× 68 0.8× 10 404
Clarissa Corinaldesi Italy 13 83 0.5× 253 1.6× 174 1.4× 46 0.4× 61 0.7× 21 584
Renske de Jong Germany 8 72 0.4× 174 1.1× 200 1.6× 47 0.4× 71 0.8× 10 506
Tatsuhiro Ohgami Japan 15 151 0.9× 241 1.5× 38 0.3× 104 0.9× 97 1.1× 40 602
Sylwia Słuczanowska-Głąbowska Poland 14 50 0.3× 142 0.9× 114 0.9× 60 0.5× 44 0.5× 36 480
Marie-José Fouque France 6 90 0.5× 141 0.9× 147 1.2× 44 0.4× 42 0.5× 6 517
Johann Gout Germany 14 263 1.6× 255 1.6× 70 0.6× 56 0.5× 146 1.7× 30 594
Eyal J. Scheinman Israel 9 95 0.6× 202 1.2× 78 0.6× 37 0.3× 163 1.9× 11 400
Ran Rostoker Israel 12 87 0.5× 205 1.3× 194 1.5× 41 0.4× 88 1.0× 15 481

Countries citing papers authored by William J. Turbitt

Since Specialization
Citations

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

Fields of papers citing papers by William J. Turbitt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of William J. Turbitt

This figure shows the co-authorship network connecting the top 25 collaborators of William J. Turbitt. A scholar is included among the top collaborators of William J. Turbitt 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 J. Turbitt. William J. Turbitt 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.
Roberts, Zachary, et al.. (2024). An Exogenous Ketone Ester Slows Tumor Progression in Murine Breast and Renal Cancer Models. Cancers. 16(19). 3390–3390. 1 indexed citations
2.
Wei, Hairong, Gloria A. Benavides, William J. Turbitt, et al.. (2022). Protein Kinase CK2 Controls CD8+ T Cell Effector and Memory Function during Infection. The Journal of Immunology. 209(5). 896–906. 8 indexed citations
3.
4.
Turbitt, William J., Claire Buchta Rosean, K. Scott Weber, & Lyse A. Norian. (2020). Obesity and CD8 T cell metabolism: Implications for anti‐tumor immunity and cancer immunotherapy outcomes. Immunological Reviews. 295(1). 203–219. 41 indexed citations
5.
Turbitt, William J., Justin T. Gibson, Shannon K. Boi, et al.. (2020). The Antidiabetic Agent Acarbose Improves Anti-PD-1 and Rapamycin Efficacy in Preclinical Renal Cancer. Cancers. 12(10). 2872–2872. 17 indexed citations
6.
Gibson, Justin T., William J. Turbitt, Michael Behring, et al.. (2020). Obesity-Associated Myeloid-Derived Suppressor Cells Promote Apoptosis of Tumor-Infiltrating CD8 T Cells and Immunotherapy Resistance in Breast Cancer. Frontiers in Immunology. 11. 590794–590794. 55 indexed citations
7.
Meza‐Perez, Selene, Carly Bess Scalise, Angelina I. Londoño, et al.. (2020). Manipulating the Wnt/β-catenin signaling pathway to promote anti-tumor immune infiltration into the TME to sensitize ovarian cancer to ICB therapy. Gynecologic Oncology. 160(1). 285–294. 41 indexed citations
8.
Turbitt, William J., et al.. (2020). Therapeutic Time-restricted Feeding Reduces Renal Tumor Bioluminescence in Mice but Fails to Improve Anti-CTLA-4 Efficacy. Anticancer Research. 40(10). 5445–5456. 13 indexed citations
9.
Betella, Ilaria, William J. Turbitt, Tomasz Szul, et al.. (2020). Wnt signaling modulator DKK1 as an immunotherapeutic target in ovarian cancer. Gynecologic Oncology. 157(3). 765–774. 47 indexed citations
10.
Turbitt, William J., Yitong Xu, Donna M. Sosnoski, et al.. (2019). Physical Activity Plus Energy Restriction Prevents 4T1.2 Mammary Tumor Progression, MDSC Accumulation, and an Immunosuppressive Tumor Microenvironment. Cancer Prevention Research. 12(8). 493–506. 31 indexed citations
11.
Xu, Yitong, et al.. (2019). Abstract 586: CD4+and CD8+T cells influence 4T1.2luc mammary tumor growth and survival. Cancer Research. 79(13_Supplement). 586–586. 1 indexed citations
12.
Turbitt, William J., Wendy Demark‐Wahnefried, Courtney M. Peterson, & Lyse A. Norian. (2019). Targeting Glucose Metabolism to Enhance Immunotherapy: Emerging Evidence on Intermittent Fasting and Calorie Restriction Mimetics. Frontiers in Immunology. 10. 1402–1402. 61 indexed citations
13.
14.
Betella, Ilaria, William J. Turbitt, Tomasz Szul, et al.. (2019). Dkn-01: A promising strategy for targeting the Wnt pathway in ovarian cancer. Gynecologic Oncology. 154. 55–55. 2 indexed citations
15.
Turbitt, William J., et al.. (2019). Abstract 509: Acarbose, but not metformin, reduces tumor burden and improves intra-tumoral immune responses in a pre-clinical breast cancer model. Cancer Research. 79(13_Supplement). 509–509. 1 indexed citations
16.
17.
Kraemer, William J., Mary J. Kennett, Andrea M. Mastro, et al.. (2017). Bioactive growth hormone in older men and women: It's relationship to immune markers and healthspan. Growth Hormone & IGF Research. 34. 45–54. 7 indexed citations
18.
Turbitt, William J., Yitong Xu, Andrea M. Mastro, & Connie J. Rogers. (2017). Abstract 1260: Diet and exercise-induced weight maintenance may be preventing mammary tumor growth and metastatic burden by enhancing antitumor immunity and/or reducing protumorigenic factors. Cancer Research. 77(13_Supplement). 1260–1260. 1 indexed citations
19.
Turbitt, William J., Huicui Meng, Sharlene Washington, et al.. (2015). Fish Oil Enhances T Cell Function and Tumor Infiltration and Is Correlated With a Cancer Prevention Effect in HER-2/neu But Not PyMT Transgenic Mice. Nutrition and Cancer. 67(6). 965–975. 9 indexed citations
20.
Sinha, Raghu, Timothy K. Cooper, Connie J. Rogers, et al.. (2014). Dietary methionine restriction inhibits prostatic intraepithelial neoplasia in TRAMP mice. The Prostate. 74(16). 1663–1673. 63 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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