Jacob Turner

2.2k total citations
19 papers, 617 citations indexed

About

Jacob Turner is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Jacob Turner has authored 19 papers receiving a total of 617 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Immunology and 4 papers in Oncology. Recurrent topics in Jacob Turner's work include Bioinformatics and Genomic Networks (3 papers), Immune Cell Function and Interaction (3 papers) and T-cell and B-cell Immunology (3 papers). Jacob Turner is often cited by papers focused on Bioinformatics and Genomic Networks (3 papers), Immune Cell Function and Interaction (3 papers) and T-cell and B-cell Immunology (3 papers). Jacob Turner collaborates with scholars based in United States, United Kingdom and Japan. Jacob Turner's co-authors include Derek Blankenship, Xiaoming Ju, William S. Chen, Michael P. Lisanti, Manran Liu, Susette C. Mueller, Chenguang Wang, Shengwen Calvin Li, Richard G. Pestell and Robert G. Russell and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine and Journal of Clinical Oncology.

In The Last Decade

Jacob Turner

19 papers receiving 609 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jacob Turner United States 11 321 201 123 110 104 19 617
Antoine Désilets Canada 18 303 0.9× 87 0.4× 120 1.0× 116 1.1× 72 0.7× 35 768
Judith Lehmann‐Koch Germany 9 259 0.8× 164 0.8× 143 1.2× 112 1.0× 33 0.3× 10 566
Tomoko Yoshioka Japan 13 411 1.3× 308 1.5× 306 2.5× 119 1.1× 52 0.5× 47 988
Suxia Liu China 15 435 1.4× 286 1.4× 148 1.2× 137 1.2× 33 0.3× 36 699
Anke Wienecke-Baldacchino Luxembourg 14 418 1.3× 101 0.5× 113 0.9× 224 2.0× 44 0.4× 18 632
Abdul Rouf Banday United States 10 263 0.8× 82 0.4× 84 0.7× 104 0.9× 151 1.5× 30 530
Ankur Sharma United States 14 365 1.1× 83 0.4× 227 1.8× 128 1.2× 49 0.5× 37 686
Kien Pham United States 18 310 1.0× 187 0.9× 310 2.5× 160 1.5× 42 0.4× 33 764
Steven Schutt United States 14 236 0.7× 398 2.0× 100 0.8× 82 0.7× 38 0.4× 32 673
Chuen-Miin Leu Taiwan 11 251 0.8× 459 2.3× 150 1.2× 138 1.3× 27 0.3× 13 798

Countries citing papers authored by Jacob Turner

Since Specialization
Citations

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

Fields of papers citing papers by Jacob Turner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jacob Turner

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

All Works

19 of 19 papers shown
1.
Young, David J., So Gun Hong, Jacob Turner, et al.. (2024). In vivo tracking of ex-vivo-generated 89Zr-oxine-labeled plasma cells by PET in a non-human primate model. Molecular Therapy. 33(2). 580–594. 4 indexed citations
2.
Hastings‐Tolsma, Marie, et al.. (2021). Effect of Rubus idaeus L. Consumption During Pregnancy on Maternal Mice and Their Offspring. Journal of Medicinal Food. 25(2). 183–191. 1 indexed citations
3.
Cardenas, Jacob, Jason A. Skinner, Bobby Q. Lanier, et al.. (2020). Whole blood transcriptional variations between responders and non‐responders in asthma patients receiving omalizumab. Clinical & Experimental Allergy. 50(9). 1017–1034. 7 indexed citations
4.
Wang, Xuan, et al.. (2019). Breaking the paradigm: Dr Insight empowers signature-free, enhanced drug repurposing. Bioinformatics. 35(16). 2818–2826. 29 indexed citations
5.
Cardenas, Jacob, Bobby Q. Lanier, Mark Millard, et al.. (2019). Phenotypic and functional alterations of regulatory B cell subsets in adult allergic asthma patients. Clinical & Experimental Allergy. 49(9). 1214–1224. 20 indexed citations
6.
Chen, Yuezhou, Neha Chaudhary, Nicole Yang, et al.. (2018). Microbial symbionts regulate the primary Ig repertoire. The Journal of Experimental Medicine. 215(5). 1397–1415. 37 indexed citations
7.
Turner, Jacob, Derek Blankenship, Tao Dao, et al.. (2018). Abstract P3-05-01: Immune and transcriptional signatures of dendritic dell (DC) vaccination combined with chemotherapy in locally advanced, triple-negative breast cancer (TNBC) patients. Cancer Research. 78(4_Supplement). P3–5. 1 indexed citations
8.
Zumwalt, Timothy J., Dominik Wodarz, Natalia L. Komarova, et al.. (2017). Aspirin-Induced Chemoprevention and Response Kinetics Are Enhanced by PIK3CA Mutations in Colorectal Cancer Cells. Cancer Prevention Research. 10(3). 208–218. 23 indexed citations
9.
Miyazaki, Masaki, Kazuko Miyazaki, Kenian Chen, et al.. (2017). The E-Id Protein Axis Specifies Adaptive Lymphoid Cell Identity and Suppresses Thymic Innate Lymphoid Cell Development. Immunity. 46(5). 818–834.e4. 75 indexed citations
10.
Cyrus, Nika, et al.. (2017). 288 Immune dysregulation in morphea. Journal of Investigative Dermatology. 137(5). S49–S49. 2 indexed citations
11.
Yoshida, Kazuhiro, Shusuke Toden, Wenhao Weng, et al.. (2017). SNORA21 – An Oncogenic Small Nucleolar RNA, with a Prognostic Biomarker Potential in Human Colorectal Cancer. EBioMedicine. 22. 68–77. 65 indexed citations
12.
Gu, Jinghua, et al.. (2017). Phantom: investigating heterogeneous gene sets in time-course data. Bioinformatics. 33(18). 2957–2959. 1 indexed citations
13.
Schiffmann, Raphael, Mary Wallace, Daisy Rinaldi, et al.. (2017). A double‐blind, placebo‐controlled trial of triheptanoin in adult polyglucosan body disease and open‐label, long‐term outcome. Journal of Inherited Metabolic Disease. 41(5). 877–883. 17 indexed citations
14.
Blankley, Simon, Christine M. Graham, Jacob Turner, et al.. (2016). A 380-gene meta-signature of active tuberculosis compared with healthy controls. European Respiratory Journal. 47(6). 1873–1876. 36 indexed citations
15.
Blankley, Simon, Christine M. Graham, Jacob Turner, et al.. (2016). The Transcriptional Signature of Active Tuberculosis Reflects Symptom Status in Extra-Pulmonary and Pulmonary Tuberculosis. PLoS ONE. 11(10). e0162220–e0162220. 75 indexed citations
16.
O’Shaughnessy, Joyce, Robyn R. Young, Maren K. Levin, et al.. (2016). Safety and immunologic activity of anakinra in HER2-negative metastatic breast cancer (MBC).. Journal of Clinical Oncology. 34(15_suppl). e14565–e14565. 10 indexed citations
17.
Turner, Jacob, Christopher R. Bolen, & Derek Blankenship. (2015). Quantitative gene set analysis generalized for repeated measures, confounder adjustment, and continuous covariates. BMC Bioinformatics. 16(1). 272–272. 8 indexed citations
18.
Dougan, Stephanie K., Michael Dougan, Jun Kim, et al.. (2013). Transnuclear TRP1-Specific CD8 T Cells with High or Low Affinity TCRs Show Equivalent Antitumor Activity. Cancer Immunology Research. 1(2). 99–111. 44 indexed citations
19.
Ju, Xiaoming, Sanjay Katiyar, Chenguang Wang, et al.. (2007). Akt1 governs breast cancer progression in vivo. Proceedings of the National Academy of Sciences. 104(18). 7438–7443. 162 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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