Jean Oak

1.6k total citations
37 papers, 534 citations indexed

About

Jean Oak is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Jean Oak has authored 37 papers receiving a total of 534 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 15 papers in Oncology and 13 papers in Immunology. Recurrent topics in Jean Oak's work include CAR-T cell therapy research (10 papers), Acute Myeloid Leukemia Research (7 papers) and Lymphoma Diagnosis and Treatment (7 papers). Jean Oak is often cited by papers focused on CAR-T cell therapy research (10 papers), Acute Myeloid Leukemia Research (7 papers) and Lymphoma Diagnosis and Treatment (7 papers). Jean Oak collaborates with scholars based in United States, Germany and Brazil. Jean Oak's co-authors include Thomas E. Lane, Jonathan A. Deane, Lewis C. Cantley, David A. Fruman, Michael G. Kharas, Ji Luo, Larry Kane, Rosemarie H. DeKruyff, Christian Rommel and Travis I. Moore and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Medicine.

In The Last Decade

Jean Oak

29 papers receiving 532 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jean Oak United States 14 218 213 152 121 91 37 534
Zsofia Bittner Germany 6 192 0.9× 321 1.5× 53 0.3× 104 0.9× 50 0.5× 6 539
Hart S. Dengler United States 7 249 1.1× 448 2.1× 101 0.7× 55 0.5× 32 0.4× 7 666
Michaël Loschi France 12 217 1.0× 335 1.6× 166 1.1× 42 0.3× 88 1.0× 37 626
Yasunori Nakagawa Japan 13 278 1.3× 250 1.2× 255 1.7× 77 0.6× 232 2.5× 37 688
Xing-Mei Cao China 11 191 0.9× 188 0.9× 218 1.4× 34 0.3× 179 2.0× 33 509
John Higgins United States 10 204 0.9× 253 1.2× 100 0.7× 28 0.2× 70 0.8× 18 470
Lynn Heltemes-Harris United States 15 202 0.9× 395 1.9× 179 1.2× 37 0.3× 123 1.4× 23 695
Rick D. Holly United States 7 163 0.7× 260 1.2× 94 0.6× 82 0.7× 165 1.8× 10 648
Miki Ando Japan 12 152 0.7× 151 0.7× 233 1.5× 44 0.4× 34 0.4× 65 453
Tomomitsu Doi Japan 15 271 1.2× 326 1.5× 127 0.8× 41 0.3× 36 0.4× 29 661

Countries citing papers authored by Jean Oak

Since Specialization
Citations

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

Fields of papers citing papers by Jean Oak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jean Oak

This figure shows the co-authorship network connecting the top 25 collaborators of Jean Oak. A scholar is included among the top collaborators of Jean Oak 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 Jean Oak. Jean Oak 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.
Oak, Jean, Pedro Horna, Jonathan R. Fromm, et al.. (2025). A practical approach to panel design, validation, and interpretation for the evaluation of T ‐cell neoplasms by flow cytometry. Cytometry Part B Clinical Cytometry. 108(6). 430–447.
2.
Foreman, Taylor W., et al.. (2025). Automation of flow cytometry data analysis with elastic image registration. Scientific Reports. 15(1). 16949–16949.
3.
Oak, Jean, et al.. (2025). Implementation of beaker CP for flow cytometry: Workflow optimization and integration at Stanford Health Care. Cytometry Part B Clinical Cytometry. 108(2). 108–115.
4.
5.
Spiegel, Jay Y., Jean Oak, Anmol Goyal, et al.. (2024). CD19 Antigen Density Down-Regulation at Time of Progression in Large B-Cell Lymphoma Patients Treated with Axicabtagene Ciloleucel. Transplantation and Cellular Therapy. 30(2). S204–S204.
6.
Zhang, Jingjing & Jean Oak. (2023). Challenges of detecting measurable/minimal disease in acute leukemia. Seminars in Diagnostic Pathology. 40(3). 216–220.
7.
Ye, Jin, Padhraic Smyth, Richard H. Scheuermann, et al.. (2023). A cell-level discriminative neural network model for diagnosis of blood cancers. Bioinformatics. 39(10). 3 indexed citations
8.
Schultz, Liora M., Kara L. Davis, Christina Baggott, et al.. (2023). Role of peripheral blood MRD and 18F-FDG PET in the post-CAR relapse setting: a case study of discordant peripheral blood and bone marrow MRD. Journal for ImmunoTherapy of Cancer. 11(2). e004851–e004851.
9.
Radosevich, Molly, Scott J. Bornheimer, Bita Sahaf, et al.. (2023). Antigen density quantification of cell-surface immunotherapy targets by flow cytometry: Multi-antigen assay of neuroblastoma bone marrow metastasis. STAR Protocols. 4(4). 102709–102709.
10.
Hossain, Nasheed, Bita Sahaf, Jay Y. Spiegel, et al.. (2018). Phase I Experience with a Bi-Specific CAR Targeting CD19 and CD22 in Adults with B-Cell Malignancies. Blood. 132(Supplement 1). 490–490. 48 indexed citations
11.
Margolskee, Elizabeth, Bryan Rea, Adam Bagg, et al.. (2018). A reevaluation of erythroid predominance in Acute Myeloid Leukemia using the updated WHO 2016 Criteria. Modern Pathology. 31(6). 873–880. 1 indexed citations
12.
13.
14.
Margolskee, Elizabeth, Robert P. Hasserjian, Duane C. Hassane, et al.. (2017). Myelodysplastic Syndrome, Unclassifiable (MDS-U) With 1% Blasts Is a Distinct Subgroup of MDS-U With a Poor Prognosis. American Journal of Clinical Pathology. 148(1). 49–57. 13 indexed citations
15.
So, Lomon, Sung Su Yea, Jean Oak, et al.. (2012). Selective Inhibition of Phosphoinositide 3-Kinase p110α Preserves Lymphocyte Function*. Journal of Biological Chemistry. 288(8). 5718–5731. 59 indexed citations
16.
Tirotta, Emanuele, Patrick C. Duncker, Jean Oak, et al.. (2012). Epstein–Barr virus-induced gene 3 negatively regulates neuroinflammation and T cell activation following coronavirus-induced encephalomyelitis. Journal of Neuroimmunology. 254(1-2). 110–116. 32 indexed citations
17.
Oak, Jean, et al.. (2009). The p85β regulatory subunit of phosphoinositide 3-kinase has unique and redundant functions in B cells. Autoimmunity. 42(5). 447–458. 15 indexed citations
18.
Oak, Jean, et al.. (2008). T Cell Ig and Mucin Domain-1-Mediated T Cell Activation Requires Recruitment and Activation of Phosphoinositide 3-Kinase. The Journal of Immunology. 180(10). 6518–6526. 52 indexed citations
19.
Oak, Jean, et al.. (2007). Role of phosphoinositide 3-kinase signaling in autoimmunity. Autoimmunity. 40(6). 433–441. 12 indexed citations
20.
Hess, Kristen L., et al.. (2004). Frontline: The p85α isoform of phosphoinositide 3‐kinase is essential for a subset of B cell receptor‐initiated signaling responses. European Journal of Immunology. 34(11). 2968–2976. 17 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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