Jonathan Gong

657 total citations
9 papers, 308 citations indexed

About

Jonathan Gong is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology and Critical Care and Intensive Care Medicine. According to data from OpenAlex, Jonathan Gong has authored 9 papers receiving a total of 308 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Radiology, Nuclear Medicine and Imaging, 2 papers in Molecular Biology and 2 papers in Critical Care and Intensive Care Medicine. Recurrent topics in Jonathan Gong's work include Ultrasound in Clinical Applications (2 papers), Radiation Dose and Imaging (2 papers) and Advanced Glycation End Products research (2 papers). Jonathan Gong is often cited by papers focused on Ultrasound in Clinical Applications (2 papers), Radiation Dose and Imaging (2 papers) and Advanced Glycation End Products research (2 papers). Jonathan Gong collaborates with scholars based in United States and Denmark. Jonathan Gong's co-authors include Xiuliang Bao, Monica Bhanot, LH Wang, Shailaja Uttamsingh, Kevin T. Nguyen, Lance B. Becker, Michael W. Donnino, Anne V. Grossestreuer, Katherine M. Berg and Pratik Doshi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Oncogene and Science Advances.

In The Last Decade

Jonathan Gong

9 papers receiving 303 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jonathan Gong United States 6 121 80 67 46 40 9 308
S.P. Stoesz United States 6 212 1.8× 45 0.6× 19 0.3× 34 0.7× 38 0.9× 7 437
B Riedmann Austria 11 140 1.2× 168 2.1× 56 0.8× 20 0.4× 19 0.5× 20 457
Pattarin Tangtanatakul Thailand 13 152 1.3× 43 0.5× 15 0.2× 166 3.6× 15 0.4× 23 359
Guowu Zhou China 12 90 0.7× 73 0.9× 18 0.3× 19 0.4× 8 0.2× 32 328
Daniel Klintman Sweden 11 75 0.6× 78 1.0× 20 0.3× 163 3.5× 10 0.3× 16 428
Yuhua Chen China 11 112 0.9× 35 0.4× 11 0.2× 60 1.3× 7 0.2× 26 293
Yanna Dou China 9 84 0.7× 45 0.6× 8 0.1× 43 0.9× 11 0.3× 25 326
Yan Li-jun China 7 88 0.7× 33 0.4× 8 0.1× 53 1.2× 12 0.3× 12 347
Taisuke Baba Japan 7 133 1.1× 67 0.8× 7 0.1× 22 0.5× 16 0.4× 25 353
Min Deng China 12 103 0.9× 57 0.7× 28 0.4× 29 0.6× 3 0.1× 28 337

Countries citing papers authored by Jonathan Gong

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Gong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonathan Gong

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

All Works

9 of 9 papers shown
1.
Gong, Jonathan, et al.. (2023). A multi-output network with U-net enhanced class activation map and robust classification performance for medical imaging analysis. SHILAP Revista de lepidopterología. 3(1). 1–1. 3 indexed citations
2.
Zhu, Shu, Xiaoling Qiang, Jianhua Li, et al.. (2023). Identification of procathepsin L (pCTS-L)–neutralizing monoclonal antibodies to treat potentially lethal sepsis. Science Advances. 9(5). eadf4313–eadf4313. 14 indexed citations
3.
Qiang, Xiaoling, Yongjun Wang, Shu Zhu, et al.. (2020). Identification of tetranectin-targeting monoclonal antibodies to treat potentially lethal sepsis. Science Translational Medicine. 12(539). 37 indexed citations
4.
Richardson, Safiya, Philip Solomon, Sundas Khan, et al.. (2018). A Computerized Method for Measuring Computed Tomography Pulmonary Angiography Yield in the Emergency Department: Validation Study. JMIR Medical Informatics. 6(4). e44–e44. 3 indexed citations
5.
Moskowitz, Ari, Lars W. Andersen, David T. Huang, et al.. (2018). Ascorbic acid, corticosteroids, and thiamine in sepsis: a review of the biologic rationale and the present state of clinical evaluation. Critical Care. 22(1). 283–283. 91 indexed citations
6.
Barata, Isabel A., et al.. (2008). 60: The Utility of Bedside Ultrasonography in Identifying Fractures in the Emergency Department. Annals of Emergency Medicine. 52(4). S60–S60. 2 indexed citations
7.
Uttamsingh, Shailaja, Xiuliang Bao, Kevin T. Nguyen, et al.. (2007). Synergistic effect between EGF and TGF-β1 in inducing oncogenic properties of intestinal epithelial cells. Oncogene. 27(18). 2626–2634. 129 indexed citations
8.
Qian, Lingmei, et al.. (1999). Cyclin D2 promoter disrupted by t(12;22)(p13;q11.2) during transformation of chronic lymphocytic leukaemia to non‐Hodgkin's lymphoma. British Journal of Haematology. 106(2). 477–485. 21 indexed citations
9.
Gong, Jonathan, et al.. (1995). Absence of somatic changes in p21 gene in non-Hodgkin's lymphoma and chronic myelogenous leukemia.. PubMed. 9(3-4). 171–7. 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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