Jason J. Kwon

1.1k total citations
18 papers, 605 citations indexed

About

Jason J. Kwon is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Jason J. Kwon has authored 18 papers receiving a total of 605 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 8 papers in Cancer Research and 6 papers in Oncology. Recurrent topics in Jason J. Kwon's work include MicroRNA in disease regulation (8 papers), Pancreatic and Hepatic Oncology Research (5 papers) and RNA modifications and cancer (4 papers). Jason J. Kwon is often cited by papers focused on MicroRNA in disease regulation (8 papers), Pancreatic and Hepatic Oncology Research (5 papers) and RNA modifications and cancer (4 papers). Jason J. Kwon collaborates with scholars based in United States, Australia and United Kingdom. Jason J. Kwon's co-authors include Janaiah Kota, Shatovisha Dey, Murray Korc, William C. Hahn, Xiao-Ming Yin, Jeffrey A. Willy, Ronald C. Wek, Sarah C. Nabinger, Zhangsheng Yu and Ravi Kumar Alluri and has published in prestigious journals such as Nature Communications, Molecular and Cellular Biology and Cancer Research.

In The Last Decade

Jason J. Kwon

18 papers receiving 600 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jason J. Kwon United States	10	375	279	185	75	71	18	605
Émilie Buache France	10	247 0.7×	142 0.5×	166 0.9×	65 0.9×	66 0.9×	14	521
Colin G. Buss United States	6	411 1.1×	286 1.0×	150 0.8×	131 1.7×	91 1.3×	7	638
Beate Alinger Austria	19	490 1.3×	152 0.5×	192 1.0×	75 1.0×	76 1.1×	23	734
Martin Nurmik Luxembourg	5	411 1.1×	335 1.2×	358 1.9×	125 1.7×	58 0.8×	7	788
Chunhui Wang China	13	310 0.8×	182 0.7×	319 1.7×	134 1.8×	46 0.6×	27	664
Zhengchuan Niu China	16	382 1.0×	278 1.0×	240 1.3×	99 1.3×	120 1.7×	29	698
Nina Raulf United Kingdom	9	482 1.3×	250 0.9×	200 1.1×	98 1.3×	34 0.5×	13	696
Yi Ba China	11	503 1.3×	322 1.2×	98 0.5×	119 1.6×	43 0.6×	23	665
Xiaonan Yin China	13	420 1.1×	219 0.8×	197 1.1×	206 2.7×	66 0.9×	35	771

Countries citing papers authored by Jason J. Kwon

Since Specialization

Citations

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

Fields of papers citing papers by Jason J. Kwon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jason J. Kwon. 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 Jason J. Kwon. The network helps show where Jason J. Kwon may publish in the future.

Co-authorship network of co-authors of Jason J. Kwon

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

All Works

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18 of 18 papers shown

Kwon, Jason J., et al.. (2024). On knowing a gene: A distributional hypothesis of gene function. Cell Systems. 15(6). 488–496. 5 indexed citations

Bian, Yuemin, et al.. (2023). Target-driven machine learning-enabled virtual screening (TAME-VS) platform for early-stage hit identification. Frontiers in Molecular Biosciences. 10. 1163536–1163536. 3 indexed citations

Bondeson, Daniel P., Thomas C. Atack, Nolan Bick, et al.. (2022). Systematic profiling of conditional degron tag technologies for target validation studies. Nature Communications. 13(1). 5495–5495. 19 indexed citations

Pan, Joshua, Jason J. Kwon, Jessica A. Talamas, et al.. (2022). Sparse dictionary learning recovers pleiotropy from human cell fitness screens. Cell Systems. 13(4). 286–303.e10. 20 indexed citations

Dey, Shatovisha, Jason J. Kwon, Brandon Willis, et al.. (2021). Loss of miR-29a/b1 promotes inflammation and fibrosis in acute pancreatitis. JCI Insight. 6(19). 29 indexed citations

Kwon, Jason J. & William C. Hahn. (2021). A Leucine-Rich Repeat Protein Provides a SHOC2 the RAS Circuit: a Structure-Function Perspective. Molecular and Cellular Biology. 41(4). 15 indexed citations

Dey, Shatovisha, Jason J. Kwon, Sheng Liu, et al.. (2019). miR-29a Is Repressed by MYC in Pancreatic Cancer and Its Restoration Drives Tumor-Suppressive Effects via Downregulation of LOXL2. Molecular Cancer Research. 18(2). 311–323. 28 indexed citations

Kwon, Jason J., et al.. (2018). A Systematic Review of miR-29 in Cancer. PMC. 1 indexed citations

Kwon, Jason J., et al.. (2018). A Systematic Review of miR-29 in Cancer. Molecular Therapy — Oncolytics. 12. 173–194. 189 indexed citations

10.

Kwon, Jason J., et al.. (2018). Abstract 4490: Autocrine and paracrine effects of miR-29 in hPSCs and PDAC cells. Cancer Research. 78(13_Supplement). 4490–4490. 1 indexed citations

11.

Kwon, Jason J., et al.. (2018). Abstract 528: Identification of MYC as a novel repressor of miR-29 in pancreatic ductal adenocarcinoma. Cancer Research. 78(13_Supplement). 528–528. 1 indexed citations

12.

Kota, Janaiah, et al.. (2017). Pancreatic cancer: Stroma and its current and emerging targeted therapies. Cancer Letters. 391. 38–49. 147 indexed citations

13.

Kwon, Jason J., Constance J. Temm, Max Jacobsen, et al.. (2017). Safety and Efficacy of AAV Retrograde Pancreatic Ductal Gene Delivery in Normal and Pancreatic Cancer Mice. Molecular Therapy — Methods & Clinical Development. 8. 8–20. 20 indexed citations

14.

Kwon, Jason J., et al.. (2017). Abstract LB-327: Restoration of MYC-repressed miR-29 in pancreatic cancer cells leads to increased reactive oxygen species and gemcitabine sensitization. Cancer Research. 77(13_Supplement). LB–327. 1 indexed citations

15.

Kwon, Jason J., Jeffrey A. Willy, Ronald C. Wek, et al.. (2016). Novel role of miR-29a in pancreatic cancer autophagy and its therapeutic potential. PMC. 1 indexed citations

16.

Kwon, Jason J., Jeffrey A. Willy, Ronald C. Wek, et al.. (2016). Novel role of miR-29a in pancreatic cancer autophagy and its therapeutic potential. Oncotarget. 7(44). 71635–71650. 61 indexed citations

17.

Kwon, Jason J., Sarah C. Nabinger, Ravi Kumar Alluri, et al.. (2015). Pathophysiological role of microRNA-29 in pancreatic cancer stroma. IUScholarWorks (Indiana University). 2 indexed citations

18.

Kwon, Jason J., Sarah C. Nabinger, Ravi Kumar Alluri, et al.. (2015). Pathophysiological role of microRNA-29 in pancreatic cancer stroma. Scientific Reports. 5(1). 11450–11450. 62 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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