Jane Bryant

894 total citations
29 papers, 703 citations indexed

About

Jane Bryant is a scholar working on Biophysics, Molecular Biology and Immunology. According to data from OpenAlex, Jane Bryant has authored 29 papers receiving a total of 703 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Biophysics, 8 papers in Molecular Biology and 6 papers in Immunology. Recurrent topics in Jane Bryant's work include Spectroscopy Techniques in Biomedical and Chemical Research (9 papers), Spectroscopy and Chemometric Analyses (6 papers) and Molecular Biology Techniques and Applications (4 papers). Jane Bryant is often cited by papers focused on Spectroscopy Techniques in Biomedical and Chemical Research (9 papers), Spectroscopy and Chemometric Analyses (6 papers) and Molecular Biology Techniques and Applications (4 papers). Jane Bryant collaborates with scholars based in United States, Ireland and France. Jane Bryant's co-authors include Xunrong Luo, Fiona M. Lyng, Aidan D. Meade, Armin Saalmüller, Taba Kheradmand, Marie Finn, Mary Dunne, John Armstrong, Xiaomin Zhang and Stephen D. Miller and has published in prestigious journals such as The Journal of Immunology, Biomaterials and International Journal of Molecular Sciences.

In The Last Decade

Jane Bryant

26 papers receiving 688 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jane Bryant United States 16 209 193 163 147 101 29 703
Virginia Sánchez‐Monroy Mexico 13 33 0.2× 48 0.2× 128 0.8× 16 0.1× 77 0.8× 46 446
Ningjie Hu United States 14 133 0.6× 39 0.2× 82 0.5× 27 0.2× 15 0.1× 18 490
Praveen Kumar Yadav India 13 251 1.2× 12 0.1× 101 0.6× 34 0.2× 75 0.7× 48 650
Hannah E. Scales United Kingdom 14 199 1.0× 20 0.1× 135 0.8× 10 0.1× 50 0.5× 23 591
Dorthe von Smolinski Germany 11 178 0.9× 21 0.1× 253 1.6× 7 0.0× 27 0.3× 13 588
L.W. Greenham United Kingdom 10 35 0.2× 15 0.1× 118 0.7× 30 0.2× 139 1.4× 19 481
Cynthia G. Lorang United States 5 476 2.3× 63 0.3× 707 4.3× 2 0.0× 82 0.8× 6 1.1k
S.T. Kießig Germany 15 136 0.7× 5 0.0× 330 2.0× 5 0.0× 81 0.8× 31 857
Roy Chen United States 7 244 1.2× 13 0.1× 231 1.4× 2 0.0× 49 0.5× 8 723

Countries citing papers authored by Jane Bryant

Since Specialization
Citations

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

Fields of papers citing papers by Jane Bryant

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jane Bryant

This figure shows the co-authorship network connecting the top 25 collaborators of Jane Bryant. A scholar is included among the top collaborators of Jane Bryant 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 Jane Bryant. Jane Bryant 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.
Meade, Aidan D., Jane Bryant, D. Kacy Cullen, et al.. (2025). Detection of radiosensitive subpopulations ex-vivo with Raman microspectroscopy. Frontiers in Oncology. 15. 1470431–1470431.
2.
Bryant, Jane, et al.. (2025). Sex Disparities in Acute Myocardial Infarction Diagnosis and Treatment. The American Journal of Cardiology. 259. 179–186.
3.
Bryant, Annette, Ruwaida Begum, Michael Davidson, et al.. (2022). Ibrutinib in c-MYC and HER2 Amplified Oesophagogastric Carcinoma: Results of the Proof-of-Concept iMYC Study. Current Oncology. 29(4). 2174–2184.
4.
Howe, Orla, Lisa White, D. Kacy Cullen, et al.. (2021). A 4-Gene Signature of CDKN1, FDXR, SESN1 and PCNA Radiation Biomarkers for Prediction of Patient Radiosensitivity. International Journal of Molecular Sciences. 22(19). 10607–10607. 6 indexed citations
5.
Cullen, D. Kacy, Jane Bryant, Brendan McClean, et al.. (2020). Raman spectroscopy of lymphocytes for the identification of prostate cancer patients with late radiation toxicity following radiotherapy. ARROW@Dublin Institute of Technology (Dublin Institute of Technology). 2(4). 10 indexed citations
6.
Cullen, D. Kacy, Valérie Untereiner, Jane Bryant, et al.. (2020). Effect of hemolysis on Fourier transform infrared and Raman spectra of blood plasma. Journal of Biophotonics. 13(7). 8 indexed citations
7.
Nguyen, Thi Nguyet Que, Jane Bryant, Valérie Untereiner, et al.. (2019). Monitoring Radiotherapeutic Response in Prostate Cancer Patients Using High Throughput FTIR Spectroscopy of Liquid Biopsies. Cancers. 11(7). 925–925. 26 indexed citations
8.
Bryant, Jane, John Armstrong, Mary Dunne, et al.. (2016). Development of a high throughput (HT) Raman spectroscopy method for rapid screening of liquid blood plasma from prostate cancer patients. The Analyst. 142(8). 1216–1226. 49 indexed citations
9.
McCarthy, Daniel P., Jane Bryant, John P. Galvin, Stephen D. Miller, & Xunrong Luo. (2015). Tempering Allorecognition to Induce Transplant Tolerance With Chemically Modified Apoptotic Donor Cells. American Journal of Transplantation. 15(6). 1475–1483. 14 indexed citations
10.
Bryant, Jane, et al.. (2014). Nanoparticle delivery of donor antigens for transplant tolerance in allogeneic islet transplantation. Biomaterials. 35(31). 8887–8894. 72 indexed citations
11.
Maguire, Aoife, Jane Bryant, Lisa White, et al.. (2014). Competitive evaluation of data mining algorithms for use in classification of leukocyte subtypes with Raman microspectroscopy. The Analyst. 140(7). 2473–2481. 42 indexed citations
12.
Kheradmand, Taba, Jane Bryant, Shuai Wang, et al.. (2012). Intragraft CD11b+IDO+ Cells Mediate Cardiac Allograft Tolerance by ECDI-Fixed Donor Splenocyte Infusions. American Journal of Transplantation. 12(11). 2920–2929. 53 indexed citations
13.
14.
Bryant, Jane, David Ahern, & Fionula M. Brennan. (2012). CXCR4 and vascular cell adhesion molecule 1 are key chemokine/adhesion receptors in the migration of cytokine‐activated T cells. Arthritis & Rheumatism. 64(7). 2137–2146. 25 indexed citations
15.
Brennan, Catherine A., Michael Hausmann, Gerald Schochetman, et al.. (2008). Performance evaluation of the new fully automated human immunodeficiency virus antigen‐antibody combination assay designed for blood screening. Transfusion. 48(4). 584–593. 20 indexed citations
16.
Chang, Chi‐Deu, Jane Bryant, Louis V. Kirchhoff, et al.. (2006). Evaluation of a prototype Trypanosoma cruzi antibody assay with recombinant antigens on a fully automated chemiluminescence analyzer for blood donor screening. Transfusion. 46(10). 1737–1744. 48 indexed citations
17.
18.
Smith, Grant R., Rebecca Ford, Jane Bryant, et al.. (1995). Expression, purification, and use as an antigen of recombinant sugarcane mosaic virus coat protein. Archives of Virology. 140(10). 1817–1831. 4 indexed citations
19.
Saalmüller, Armin & Jane Bryant. (1994). Characteristics of porcine T lymphocytes and T-cell lines. Veterinary Immunology and Immunopathology. 43(1-3). 45–52. 32 indexed citations
20.
Baker, David G., Jane Bryant, Joseph F. Urban, & Joan K. Lunney. (1994). Swine immunity to selected parasites. Veterinary Immunology and Immunopathology. 43(1-3). 127–133. 3 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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