John Shon

4.4k total citations
24 papers, 1.4k citations indexed

About

John Shon is a scholar working on Molecular Biology, Genetics and Sociology and Political Science. According to data from OpenAlex, John Shon has authored 24 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 5 papers in Genetics and 3 papers in Sociology and Political Science. Recurrent topics in John Shon's work include Misinformation and Its Impacts (3 papers), Biomedical Text Mining and Ontologies (3 papers) and Genomics and Phylogenetic Studies (3 papers). John Shon is often cited by papers focused on Misinformation and Its Impacts (3 papers), Biomedical Text Mining and Ontologies (3 papers) and Genomics and Phylogenetic Studies (3 papers). John Shon collaborates with scholars based in United States, China and Sweden. John Shon's co-authors include David M. Livingston, James M. Pipas, James A. DeCaprio, John W. Ludlow, B. J. Fogg, Jonathan Marshall, Chris Varma, Bruce Rutherford, David Mooney and Mark A. Musen and has published in prestigious journals such as Cell, Nature Genetics and The Journal of Immunology.

In The Last Decade

John Shon

23 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
John Shon United States	11	460	343	281	276	162	24	1.4k
David H. Nguyen United States	32	576 1.3×	308 0.9×	378 1.3×	99 0.4×	152 0.9×	95	3.2k
Tania Bubela Canada	22	373 0.8×	189 0.6×	61 0.2×	159 0.6×	71 0.4×	107	1.6k
Lin Lü China	25	682 1.5×	243 0.7×	112 0.4×	100 0.4×	49 0.3×	152	2.9k
David Gal United States	27	260 0.6×	314 0.9×	122 0.4×	148 0.5×	24 0.1×	81	2.4k
Jonathan M. Levitt United States	30	386 0.8×	89 0.3×	334 1.2×	68 0.2×	145 0.9×	91	2.2k
Marie Griffiths United States	37	663 1.4×	233 0.7×	706 2.5×	423 1.5×	72 0.4×	143	4.2k
David Morris United Kingdom	27	1.7k 3.7×	108 0.3×	152 0.5×	276 1.0×	107 0.7×	119	3.2k
Santiago Guerrero Ecuador	19	480 1.0×	99 0.3×	111 0.4×	94 0.3×	45 0.3×	62	1.4k
Deborah Allen United States	30	590 1.3×	88 0.3×	422 1.5×	155 0.6×	105 0.6×	94	3.3k
Kit Hong Wong Taiwan	21	323 0.7×	358 1.0×	105 0.4×	63 0.2×	35 0.2×	35	2.1k

Countries citing papers authored by John Shon

Since Specialization

Citations

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

Fields of papers citing papers by John Shon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Shon

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Campbell, T., Christian R. Hoerner, Elizabeth Alli, et al.. (2024). Abstract 1056: Development of a B-cell epitope classifier for early detection of renal cell carcinoma. Cancer Research. 84(6_Supplement). 1056–1056. 1 indexed citations

Dorff, Tanya B., Yosuke Hirasawa, Jared D. Acoba, et al.. (2021). Phase Ib study of patients with metastatic castrate-resistant prostate cancer treated with different sequencing regimens of atezolizumab and sipuleucel-T. Journal for ImmunoTherapy of Cancer. 9(8). e002931–e002931. 28 indexed citations

Haynes, Winston, Kathy Kamath, Rebecca Waitz, Patrick S. Daugherty, & John Shon. (2021). Protein-Based Immunome Wide Association Studies (PIWAS) for the Discovery of Significant Disease-Associated Antigens. Frontiers in Immunology. 12. 625311–625311. 6 indexed citations

Wisnewski, Adam V., Carrie A. Redlich, Jian Liu, et al.. (2021). Immunogenic amino acid motifs and linear epitopes of COVID-19 mRNA vaccines. PLoS ONE. 16(9). e0252849–e0252849. 8 indexed citations

Wang, Kening, Lesia Dropulic, Sinthujan Jegaskanda, et al.. (2021). Serum and Cervicovaginal Fluid Antibody Profiling in Herpes Simplex Virus–Seronegative Recipients of the HSV529 Vaccine. The Journal of Infectious Diseases. 224(9). 1509–1519. 5 indexed citations

Reifert, Jack, Kathy Kamath, Ewa Lis, et al.. (2020). Serum Epitope Repertoire Analysis Enables Early Detection of Lyme Disease with Improved Sensitivity in an Expandable Multiplex Format. Journal of Clinical Microbiology. 59(2). 6 indexed citations

Sundaram, Laksshman, Hong Gao, Samskruthi Reddy Padigepati, et al.. (2018). Predicting the clinical impact of human mutation with deep neural networks. Nature Genetics. 50(8). 1161–1170. 263 indexed citations

Zhou, Yilu, et al.. (2016). Employee Satisfaction and Corporate Performance: Mining Employee Reviews on Glassdoor.com. International Conference on Information Systems. 29 indexed citations

Perakslis, Eric & John Shon. (2014). Translational Informatics in Personalized Medicine: An Update for 2014. Personalized Medicine. 11(3). 339–349. 1 indexed citations

10.

Shon, John. (2011). ECONOMIC SANCTIONS AND THE SOURCE COUNTRY: HOW ECONOMIC SANCTIONS IMPOSED ON CHINA AFFECT THE U.S.. The Global Journal of Business Research. 5(5). 1–9. 1 indexed citations

11.

Shon, John, et al.. (2005). A DNA-Based Biological Sample Tracking Method. 3(1). 54–60. 5 indexed citations

12.

Shon, John, John Y. Park, & Liping Wei. (2003). Beyond similarity-based methods to associate genes for the inference of function. 1(3). 89–96. 1 indexed citations

13.

Wei, Liping, Yueyi Liu, Inna Dubchak, John Shon, & John Park. (2002). Comparative genomics approaches to study organism similarities and differences. Computers and Biomedical Research. 35(2). 142–150. 32 indexed citations

14.

Wei, Liping, Yueyi Liu, Inna Dubchak, John Shon, & John Park. (2002). Comparative genomics approaches to study organism similarities and differences. Journal of Biomedical Informatics. 35(2). 142–150. 45 indexed citations

15.

Fogg, B. J., et al.. (2001). What makes Web sites credible?. 61–68. 475 indexed citations

16.

Shon, John & Victor L. Yu. (2000). The Internet and the Infectious Diseases Physician. Clinical Infectious Diseases. 31(2). 566–567. 10 indexed citations

17.

Fogg, B. J., et al.. (2000). Elements that affect web credibility. 287–288. 34 indexed citations

18.

Fogg, B. J., et al.. (2000). Elements that affect web credibility. 2 indexed citations

19.

Shon, John & Mark A. Musen. (1999). The low availability of metadata elements for evaluating the quality of medical information on the World Wide Web.. PubMed. 945–9. 41 indexed citations

20.

Ludlow, John W., John Shon, James M. Pipas, David M. Livingston, & James A. DeCaprio. (1990). The retinoblastoma susceptibility gene product undergoes cell cycle-dependent dephosphorylation and binding to and release from SV40 large T. Cell. 60(3). 387–396. 336 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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