Jonathan Tang

708 total citations
20 papers, 514 citations indexed

About

Jonathan Tang is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Jonathan Tang has authored 20 papers receiving a total of 514 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 7 papers in Radiology, Nuclear Medicine and Imaging and 6 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Jonathan Tang's work include Effects of Radiation Exposure (7 papers), Radiation Therapy and Dosimetry (6 papers) and DNA Repair Mechanisms (4 papers). Jonathan Tang is often cited by papers focused on Effects of Radiation Exposure (7 papers), Radiation Therapy and Dosimetry (6 papers) and DNA Repair Mechanisms (4 papers). Jonathan Tang collaborates with scholars based in United States, Canada and Belgium. Jonathan Tang's co-authors include Sylvain V. Costes, C. Anthony Hunt, Klaus Ley, Irene Chiolo, Elaine M. Dunleavy, Gary H. Karpen, Irineu Illa-Bochaca, Christopher Pham, Mary Helen Barcellos‐Hoff and Jian‐Hua Mao and has published in prestigious journals such as PLoS ONE, Cancer Research and PLoS Biology.

In The Last Decade

Jonathan Tang

19 papers receiving 508 citations

Peers

Jonathan Tang

PRM

RNMI

ONCOL

Yoichi Nakayama Japan

Takamitsu Hara Japan

Ziqing Yang China

Hengwei Jin China

Muxue Tang China

T. R. Munro United Kingdom

Thomas A. Winters United States

Wenjia Shi China

Antonella Bertucci United States

Sanju Sinha United States

Yoichi Nakayama Japan

Jonathan Tang

537 ×2.0

67 ×0.6

PRM

57 ×0.6

RNMI

33 ×0.4

ONCOL

42 ×0.6

Citations per year, relative to Jonathan Tang Jonathan Tang (= 1×) peers Yoichi Nakayama

Countries citing papers authored by Jonathan Tang

Since Specialization

Citations

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

Fields of papers citing papers by Jonathan Tang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonathan Tang

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

All Works

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20 of 20 papers shown

Paraskevopoulou, Maria D., Jonathan Tang, Biswajit Saha, et al.. (2025). DOP113 Residual TYK2 signalling is associated with non-response to vedolizumab and systemic TNF inhibitors among patients with ulcerative colitis: post hoc analyses of mucosal transcriptome data. Journal of Crohn s and Colitis. 19(Supplement_1). i290–i290.

Hirmand, M. Reza, Jonathan Tang, & Hamid Jahed. (2024). A Particle-Based Numerical Model for Impact-Induced Bonding in Cold Spray. Journal of Thermal Spray Technology. 33(6). 1886–1913. 2 indexed citations

Pariset, Eloise, Antonella Bertucci, Ivan G. Paulino‐Lima, et al.. (2020). DNA Damage Baseline Predicts Resilience to Space Radiation and Radiotherapy. Cell Reports. 33(10). 108434–108434. 31 indexed citations

Pariset, Eloise, Antonella Bertucci, Ivan G. Paulino‐Lima, et al.. (2020). DNA Damage Baseline Predicts Space Radiation and Radio-Therapeutic Resilience. SSRN Electronic Journal. 1 indexed citations

Tang, Jonathan, et al.. (2018). Effects of Post-spray Heat Treatment on Hardness and Wear Properties of Ti-WC High-Pressure Cold Spray Coatings. Journal of Thermal Spray Technology. 27(7). 1153–1164. 26 indexed citations

Heuskin, Anne‐Catherine, et al.. (2016). Simulating Space Radiation-Induced Breast Tumor Incidence Using Automata. Radiation Research. 186(1). 27–38. 11 indexed citations

Sridharan, Deepa, Aroumougame Asaithamby, Steve R. Blattnig, et al.. (2016). Evaluating biomarkers to model cancer risk post cosmic ray exposure. Life Sciences in Space Research. 9. 19–47. 34 indexed citations

Liu, Yueyong, et al.. (2015). Characterizing the DNA Damage Response by Cell Tracking Algorithms and Cell Features Classification Using High-Content Time-Lapse Analysis. PLoS ONE. 10(6). e0129438–e0129438. 27 indexed citations

Tang, Jonathan, Yurong Huang, David H. Nguyen, et al.. (2015). Genetic Background Modulates lncRNA-Coordinated Tissue Response to Low Dose Ionizing Radiation. International Journal of Genomics. 2015. 1–7. 4 indexed citations

10.

Illa-Bochaca, Irineu, Haoxu Ouyang, Jonathan Tang, et al.. (2014). Densely Ionizing Radiation Acts via the Microenvironment to Promote Aggressive Trp53 -Null Mammary Carcinomas. Cancer Research. 74(23). 7137–7148. 20 indexed citations

11.

Pham, Christopher, et al.. (2014). Combinatorial DNA Damage Pairing Model Based on X-Ray-Induced Foci Predicts the Dose and LET Dependence of Cell Death in Human Breast Cells. Radiation Research. 182(3). 273–281. 26 indexed citations

12.

Barcellos‐Hoff, Mary Helen, Cassandra Adams, Allan Balmain, et al.. (2014). Systems biology perspectives on the carcinogenic potential of radiation. Journal of Radiation Research. 55(suppl 1). i145–i154. 12 indexed citations

13.

Chiolo, Irene, et al.. (2013). Nuclear dynamics of radiation-induced foci in euchromatin and heterochromatin. Mutation research. Fundamental and molecular mechanisms of mutagenesis. 750(1-2). 56–66. 51 indexed citations

14.

Tang, Jonathan, Ignacio Fernandez‐Garcia, Sangeetha Vijayakumar, et al.. (2013). Irradiation of Juvenile, but not Adult, Mammary Gland Increases Stem Cell Self-Renewal and Estrogen Receptor Negative Tumors. Stem Cells. 32(3). 649–661. 46 indexed citations

15.

Dunleavy, Elaine M., et al.. (2012). The Cell Cycle Timing of Centromeric Chromatin Assembly in Drosophila Meiosis Is Distinct from Mitosis Yet Requires CAL1 and CENP-C. PLoS Biology. 10(12). e1001460–e1001460. 62 indexed citations

16.

Tang, Jonathan, Heiko Enderling, Sabine Becker-Weimann, et al.. (2011). Phenotypic transition maps of 3D breast acini obtained by imaging-guided agent-based modeling. Integrative Biology. 3(4). 408–408. 37 indexed citations

17.

Tang, Jonathan & C. Anthony Hunt. (2010). Identifying the Rules of Engagement Enabling Leukocyte Rolling, Activation, and Adhesion. PLoS Computational Biology. 6(2). e1000681–e1000681. 28 indexed citations

18.

Hunt, C. Anthony, et al.. (2009). At the Biological Modeling and Simulation Frontier. Pharmaceutical Research. 26(11). 2369–2400. 51 indexed citations

19.

Tang, Jonathan, Klaus Ley, & C. Anthony Hunt. (2007). Dynamics of in silico leukocyte rolling, activation, and adhesion. BMC Systems Biology. 1(1). 14–14. 37 indexed citations

20.

Tang, Jonathan, et al.. (2005). Simulating leukocyte-venule interactions - a novel agent-oriented approach. PubMed. 4. 4978–4981. 8 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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