Jolene A. Bradford

2.4k total citations
41 papers, 1.1k citations indexed

About

Jolene A. Bradford is a scholar working on Molecular Biology, Immunology and Hematology. According to data from OpenAlex, Jolene A. Bradford has authored 41 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 10 papers in Immunology and 8 papers in Hematology. Recurrent topics in Jolene A. Bradford's work include Single-cell and spatial transcriptomics (13 papers), Immune Cell Function and Interaction (7 papers) and Hematopoietic Stem Cell Transplantation (7 papers). Jolene A. Bradford is often cited by papers focused on Single-cell and spatial transcriptomics (13 papers), Immune Cell Function and Interaction (7 papers) and Hematopoietic Stem Cell Transplantation (7 papers). Jolene A. Bradford collaborates with scholars based in United States, Spain and Israel. Jolene A. Bradford's co-authors include Scott T. Clarke, William G. Telford, Kyle R. Gee, Brian Agnew, Suzanne B. Buck, Adrian Salic, Gayle Buller, Arabel Vollmann‐Zwerenz, Simone Diermeier‐Daucher and Gero Brockhoff and has published in prestigious journals such as Blood, The Journal of Immunology and Cancer Research.

In The Last Decade

Jolene A. Bradford

37 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jolene A. Bradford United States 12 608 159 148 127 121 41 1.1k
Yu Jin Jang South Korea 17 514 0.8× 89 0.6× 303 2.0× 66 0.5× 72 0.6× 36 1.2k
Ömer Faruk Bayrak Türkiye 19 372 0.6× 80 0.5× 137 0.9× 72 0.6× 145 1.2× 58 1.0k
Jessica L. Crisp United States 15 430 0.7× 170 1.1× 296 2.0× 55 0.4× 40 0.3× 18 1.1k
D. Michael Olive United States 18 489 0.8× 157 1.0× 436 2.9× 90 0.7× 43 0.4× 27 1.1k
Elisa Pedone United Kingdom 16 594 1.0× 103 0.6× 104 0.7× 46 0.4× 86 0.7× 29 910
Hanseong Kim South Korea 21 660 1.1× 97 0.6× 74 0.5× 43 0.3× 36 0.3× 53 1.2k
Huiyun Xu China 21 765 1.3× 193 1.2× 222 1.5× 188 1.5× 50 0.4× 45 1.5k
Jihye Seong South Korea 21 671 1.1× 136 0.9× 229 1.5× 122 1.0× 20 0.2× 57 1.4k
Marta Truffi Italy 24 704 1.2× 379 2.4× 394 2.7× 155 1.2× 107 0.9× 69 1.7k
Jennifer Lamb United States 10 640 1.1× 223 1.4× 114 0.8× 122 1.0× 25 0.2× 11 1.4k

Countries citing papers authored by Jolene A. Bradford

Since Specialization
Citations

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

Fields of papers citing papers by Jolene A. Bradford

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jolene A. Bradford. 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 Jolene A. Bradford. The network helps show where Jolene A. Bradford may publish in the future.

Co-authorship network of co-authors of Jolene A. Bradford

This figure shows the co-authorship network connecting the top 25 collaborators of Jolene A. Bradford. A scholar is included among the top collaborators of Jolene A. Bradford 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 Jolene A. Bradford. Jolene A. Bradford 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.
Rico, Laura G., et al.. (2025). PD-L1 expression in multiple myeloma myeloid derived suppressor cells. Methods in cell biology. 195. 115–141. 1 indexed citations
2.
Rico, Laura G., Jorge Bardina, Jordi Juncà, et al.. (2024). Persistence of Chronic Lymphocytic Leukemia Stem-like Populations under Simultaneous In Vitro Treatment with Curcumin, Fludarabine, and Ibrutinib: Implications for Therapy Resistance. International Journal of Molecular Sciences. 25(4). 1994–1994. 1 indexed citations
3.
Rico, Laura G., Jolene A. Bradford, Michael D. Ward, et al.. (2023). Fast-screening flow cytometry method for detecting nanoplastics in human peripheral blood. MethodsX. 10. 102057–102057. 29 indexed citations
4.
5.
Rico, Laura G., et al.. (2023). Effects of rapid gravity load changes on immunophenotyping and leukocyte function of human peripheral blood after parabolic flight. Acta Astronautica. 210. 437–445. 4 indexed citations
6.
Rico, Laura G., et al.. (2022). Impact of red blood cell lysing on rare event analysis. Cytometry Part A. 103(4). 335–346. 2 indexed citations
7.
Rico, Laura G., et al.. (2022). Erythrocyte lysing solutions have a detrimental effect in flow cytometric dendritic cell detection. Cytometry Part A. 103(5). 383–391.
8.
Rico, Laura G., et al.. (2021). Flow-cytometry-based protocols for human blood/marrow immunophenotyping with minimal sample perturbation. STAR Protocols. 2(4). 100883–100883. 18 indexed citations
9.
Sommer, Ülrike, Steven Eck, Jennifer J. Stewart, et al.. (2020). High‐sensitivity flow cytometric assays: Considerations for design control and analytical validation for identification of Rare events. Cytometry Part B Clinical Cytometry. 100(1). 42–51. 31 indexed citations
10.
Rico, Laura G., et al.. (2018). Acoustophoretic Orientation of Red Blood Cells for Diagnosis of Red Cell Health and Pathology. Scientific Reports. 8(1). 15705–15705. 6 indexed citations
11.
Pétriz, Jordi, Jolene A. Bradford, & Michael D. Ward. (2017). No lyse no wash flow cytometry for maximizing minimal sample preparation. Methods. 134-135. 149–163. 26 indexed citations
12.
Bradford, Jolene A. & Michael D. Ward. (2017). Platelet Detection in Unaltered Whole Blood. The Journal of Immunology. 198(Supplement_1). 81.9–81.9. 1 indexed citations
13.
Rico, Laura G., et al.. (2016). Is alkaline phosphatase the smoking gun for highly refractory primitive leukemic cells?. Oncotarget. 7(44). 72057–72066. 11 indexed citations
14.
DeMarco, C. Todd, Jolene A. Bradford, Scott T. Clarke, et al.. (2013). Improved click chemistry demonstrating EdU cell proliferation with GFP expressing cells and R-PE based immunophenotyping. (P3299). The Journal of Immunology. 190(Supplement_1). 211.7–211.7.
15.
Bradford, Jolene A., et al.. (2010). Rare Event detection using Acoustic Cytometry (144.4). The Journal of Immunology. 184(Supplement_1). 144.4–144.4. 1 indexed citations
16.
Liu, Jixiang, et al.. (2010). Abstract 1943: A comparison of three techniques to induce efficient ex vivo T-cell expansion. Cancer Research. 70(8_Supplement). 1943–1943. 1 indexed citations
17.
Diermeier‐Daucher, Simone, et al.. (2009). Cell type specific applicability of 5‐ethynyl‐2′‐deoxyuridine (EdU) for dynamic proliferation assessment in flow cytometry. Cytometry Part A. 75A(6). 535–546. 144 indexed citations
18.
Agnew, Brian, et al.. (2008). Click chemistry for labeling and detection of biomolecules. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6867. 686708–686708. 2 indexed citations
19.
Buller, Gayle, et al.. (2006). Novel Reagents for the Addition of Viability Measurements to Immunostaining Using Flow Cytometry.. Blood. 108(11). 3879–3879. 2 indexed citations
20.
Buller, Gayle, et al.. (2005). Complementarity of Flow Cytometry and Fluorescence Microscopy. Microscopy and Microanalysis. 11(S02). 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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