Jason Wang

2.9k total citations · 1 hit paper
20 papers, 1.5k citations indexed

About

Jason Wang is a scholar working on Molecular Biology, Cancer Research and Surgery. According to data from OpenAlex, Jason Wang has authored 20 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 7 papers in Cancer Research and 6 papers in Surgery. Recurrent topics in Jason Wang's work include Muscle Physiology and Disorders (4 papers), Breast Cancer Treatment Studies (4 papers) and Tissue Engineering and Regenerative Medicine (3 papers). Jason Wang is often cited by papers focused on Muscle Physiology and Disorders (4 papers), Breast Cancer Treatment Studies (4 papers) and Tissue Engineering and Regenerative Medicine (3 papers). Jason Wang collaborates with scholars based in United States, Canada and China. Jason Wang's co-authors include David Mittelman, Justin M. Zook, Nina A. Bickell, Marc Salit, Oliver Hofmann, Brad Chapman, Alastair Khodabukus, Soji F. Oluwole, Henry P. Godfrey and Amber Guth and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and Nature Biotechnology.

In The Last Decade

Jason Wang

20 papers receiving 1.5k citations

Hit Papers

Integrating human sequence data sets provides a resource ... 2014 2026 2018 2022 2014 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Integrating human sequence data sets provides a resource of benchmark SNP and indel genotype calls
    2014 458 citations Justin M. Zook, Brad Chapman et al. Nature Biotechnology profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jason Wang United States 13 695 435 431 404 231 20 1.5k
Raphaël F. Rousseau United States 24 708 1.0× 286 0.7× 758 1.8× 269 0.7× 63 0.3× 56 1.8k
Roger Olofsson Bagge Sweden 25 1.1k 1.6× 128 0.3× 932 2.2× 699 1.7× 213 0.9× 167 2.4k
Lucy Yates United Kingdom 12 622 0.9× 189 0.4× 533 1.2× 605 1.5× 43 0.2× 16 1.7k
Ian Poole United Kingdom 8 979 1.4× 1.1k 2.6× 160 0.4× 402 1.0× 47 0.2× 14 1.8k
Sophia George United States 17 385 0.6× 195 0.4× 229 0.5× 110 0.3× 137 0.6× 66 928
Virginia Savova United States 14 1.4k 2.0× 288 0.7× 566 1.3× 345 0.9× 308 1.3× 27 2.7k
Trisha M. Wise‐Draper United States 30 1.2k 1.8× 131 0.3× 1.2k 2.8× 437 1.1× 83 0.4× 140 2.5k
Daisy Dai United States 12 465 0.7× 123 0.3× 860 2.0× 117 0.3× 46 0.2× 20 1.7k
Tobias Menne United Kingdom 19 1.3k 1.8× 539 1.2× 493 1.1× 161 0.4× 42 0.2× 69 2.6k
Andrea Richardson United States 9 646 0.9× 156 0.4× 849 2.0× 439 1.1× 90 0.4× 12 1.4k

Countries citing papers authored by Jason Wang

Since Specialization
Citations

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

Fields of papers citing papers by Jason Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jason Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Jason Wang. A scholar is included among the top collaborators of Jason Wang 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 Wang. Jason Wang 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.
Wang, Jason, et al.. (2025). PI31 is a positive regulator of 20S immunoproteasome assembly. Journal of Cell Science. 138(10). 1 indexed citations
2.
3.
Satou, Motoyasu, Jason Wang, Tokiko Suzuki, et al.. (2020). L-type amino acid transporter 1, LAT1, in growth hormone-producing pituitary tumor cells. Molecular and Cellular Endocrinology. 515. 110868–110868. 15 indexed citations
4.
Khodabukus, Alastair, Jason Wang, Neel K. Prabhu, et al.. (2020). Tissue-Engineered Human Myobundle System as a Platform for Evaluation of Skeletal Muscle Injury Biomarkers. Toxicological Sciences. 176(1). 124–136. 22 indexed citations
5.
Seo, Dong Joo, et al.. (2020). S3340 Recurrent High Grade Enterobacter aerogenes Bacteremia in a Patient With Hepatocellular Carcinoma. The American Journal of Gastroenterology. 115(1). S1739–S1739. 1 indexed citations
6.
Wang, Jason, Alastair Khodabukus, Lingjun Rao, et al.. (2019). Engineered skeletal muscles for disease modeling and drug discovery. Biomaterials. 221. 119416–119416. 81 indexed citations
7.
Choudhury, Amit, Daniel Ortiz, Kevin Garofalo, et al.. (2019). Abstract 561: Discovery of a potential best-in-class anti-CD38 therapeutic utilizing Fc multimerization. Immunology. 561–561. 1 indexed citations
8.
Khodabukus, Alastair, Neel K. Prabhu, Jason Wang, & Nenad Bursac. (2018). In Vitro Tissue‐Engineered Skeletal Muscle Models for Studying Muscle Physiology and Disease. Advanced Healthcare Materials. 7(15). e1701498–e1701498. 86 indexed citations
9.
Sun, Jian, Shiyu Wang, Katherine Chung, et al.. (2017). HPV16 E6/E7 upregulates HIF-2α and VEGF by inhibiting LKB1 in lung cancer cells. Tumor Biology. 39(7). 3726133313–3726133313. 16 indexed citations
10.
Ma, Zhen, Jason Wang, Peter Loskill, et al.. (2015). Self-organizing human cardiac microchambers mediated by geometric confinement. Nature Communications. 6(1). 7413–7413. 163 indexed citations
11.
Highnam, Gareth, et al.. (2015). An analytical framework for optimizing variant discovery from personal genomes. Nature Communications. 6(1). 6275–6275. 66 indexed citations
12.
Cheema, Manjinder S., Jason Wang, Ron M. Finn, et al.. (2015). Interaction of chromatin with a histone H1 containing swapped N- and C-terminal domains. Bioscience Reports. 35(3). 11 indexed citations
13.
Zook, Justin M., Brad Chapman, Jason Wang, et al.. (2014). Integrating human sequence data sets provides a resource of benchmark SNP and indel genotype calls. Nature Biotechnology. 32(3). 246–251. 458 indexed citations breakdown →
14.
15.
González, Raul S., et al.. (2013). SOX10 Expression in Malignant Melanoma, Carcinoma, and Normal Tissues. Applied immunohistochemistry & molecular morphology. 21(6). 506–510. 104 indexed citations
16.
Leroueil, Pascale R., Jason Wang, Walker McHugh, et al.. (2013). Profiling Inflammatory Responses with Microfluidic Immunoblotting. PLoS ONE. 8(11). e81889–e81889. 7 indexed citations
17.
Zbytek, Blazej, et al.. (2012). Nottingham-defined Mitotic Score. Applied immunohistochemistry & molecular morphology. 21(1). 48–53. 29 indexed citations
18.
Bickell, Nina A., et al.. (2007). Lost Opportunities: Physicians' Reasons and Disparities in Breast Cancer Treatment. Journal of Clinical Oncology. 25(18). 2516–2521. 108 indexed citations
19.
Bickell, Nina A., Jason Wang, Soji F. Oluwole, et al.. (2006). Missed Opportunities: Racial Disparities in Adjuvant Breast Cancer Treatment. Journal of Clinical Oncology. 24(9). 1357–1362. 311 indexed citations
20.
Wang, Xiong & Jason Wang. (2001). Analyzing protein surface for classification: A geometric hashing approach. 31–34. 1 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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