Harry Yang

1.6k total citations
57 papers, 920 citations indexed

About

Harry Yang is a scholar working on Statistics and Probability, Molecular Biology and Immunology. According to data from OpenAlex, Harry Yang has authored 57 papers receiving a total of 920 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Statistics and Probability, 21 papers in Molecular Biology and 19 papers in Immunology. Recurrent topics in Harry Yang's work include Statistical Methods in Clinical Trials (26 papers), Biosimilars and Bioanalytical Methods (16 papers) and Protein purification and stability (9 papers). Harry Yang is often cited by papers focused on Statistical Methods in Clinical Trials (26 papers), Biosimilars and Bioanalytical Methods (16 papers) and Protein purification and stability (9 papers). Harry Yang collaborates with scholars based in United States, Slovakia and United Kingdom. Harry Yang's co-authors include Lanju Zhang, Kris F. Sachsenmeier, Erin Sult, Robert E. Hollingsworth, Craig B. Thompson, Jeffrey M. Leiden, X. Mao, Susan Miesfeldt, Steven Novick and Robert Kubiak and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Harry Yang

54 papers receiving 889 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Harry Yang United States 12 493 183 142 108 85 57 920
Chad Ray United States 14 558 1.1× 453 2.5× 208 1.5× 143 1.3× 84 1.0× 23 1.1k
Brian J. Schmidt United States 18 423 0.9× 103 0.6× 56 0.4× 190 1.8× 70 0.8× 37 848
Feng Ye China 22 464 0.9× 181 1.0× 37 0.3× 174 1.6× 24 0.3× 97 1.6k
Andreas Seidl Germany 16 861 1.7× 428 2.3× 474 3.3× 100 0.9× 30 0.4× 35 1.4k
Lanju Zhang United States 14 233 0.5× 105 0.6× 56 0.4× 89 0.8× 215 2.5× 46 885
Wendell C. Smith United States 10 591 1.2× 716 3.9× 511 3.6× 178 1.6× 59 0.7× 13 1.2k
Aman P. Singh United States 16 265 0.5× 119 0.7× 282 2.0× 475 4.4× 18 0.2× 33 749
Sun Young Lee South Korea 20 370 0.8× 86 0.5× 20 0.1× 63 0.6× 50 0.6× 39 1.0k
Xin Miao United States 17 206 0.4× 69 0.4× 55 0.4× 138 1.3× 15 0.2× 42 739
Jing Fu China 28 1.2k 2.4× 445 2.4× 52 0.4× 606 5.6× 51 0.6× 80 2.5k

Countries citing papers authored by Harry Yang

Since Specialization
Citations

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

Fields of papers citing papers by Harry Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Harry Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Harry Yang. A scholar is included among the top collaborators of Harry Yang 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 Harry Yang. Harry Yang 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.
Sahoo, Bikash R., Nathan Clark, Harry Yang, et al.. (2025). Visualization of liquid-liquid phase transitions using a tiny G-quadruplex binding protein. Nature Communications. 16(1). 8578–8578. 1 indexed citations
2.
Sahoo, Bikash R., Nathan Clark, Harry Yang, et al.. (2024). Protein G-quadruplex interactions and their effects on phase transitions and protein aggregation. Nucleic Acids Research. 52(8). 4702–4722. 7 indexed citations
3.
Zhang, Jianchun, Robert Kubiak, Lorin Roskos, et al.. (2020). A new method for identification of outliers in immunogenicity assay cut point data. Journal of Immunological Methods. 484-485. 112817–112817. 10 indexed citations
4.
Kubiak, Robert, et al.. (2018). Excessive outlier removal may result in cut points that are not suitable for immunogenicity assessments. Journal of Immunological Methods. 463. 105–111. 12 indexed citations
5.
Zhang, Jianchun, Wenjia Li, Lorin Roskos, & Harry Yang. (2017). Immunogenicity assay cut point determination using nonparametric tolerance limit. Journal of Immunological Methods. 442. 29–34. 11 indexed citations
6.
Yu, Binbing, Lingmin Zeng, & Harry Yang. (2017). Determination of acceptance criteria and sample sizes for accelerated stability comparability studies for biologics. Biologicals. 49. 46–50. 1 indexed citations
7.
Wendeler, Michaela, Wei Zhao, Christopher Thompson, et al.. (2017). Characterizing the Overall Derivatization of Conjugated Oligomeric Proteins. PDA Journal of Pharmaceutical Science and Technology. 71(2). 115–126. 1 indexed citations
8.
Novick, Steven, et al.. (2014). Dissolution Curve Comparisons Through theF2Parameter, a Bayesian Extension of thef2Statistic. Journal of Biopharmaceutical Statistics. 25(2). 351–371. 10 indexed citations
9.
Zhang, Jianchun, Binbing Yu, Lanju Zhang, et al.. (2014). Non-Normal Random Effects Models for Immunogenicity Assay Cut Point Determination. Journal of Biopharmaceutical Statistics. 25(2). 295–306. 9 indexed citations
10.
Yang, Harry, Steven Novick, & David LeBlond. (2014). Testing Assay Linearity Over a Pre-Specified Range. Journal of Biopharmaceutical Statistics. 25(2). 339–350. 3 indexed citations
11.
Yang, Harry, Ziping Wei, & Mark A. Schenerman. (2014). A Statistical Approach to Determining Criticality of Residual Host Cell DNA. Journal of Biopharmaceutical Statistics. 25(2). 234–246. 1 indexed citations
12.
Sachsenmeier, Kris F., et al.. (2014). A New Bliss Independence Model to Analyze Drug Combination Data. SLAS DISCOVERY. 19(5). 817–821. 192 indexed citations
13.
Gold, David, Michelle Dawson, Harry Yang, Joseph M. Parker, & David Gossage. (2013). Clinical Trial Simulation To Assist In COPD Trial Planning And Design With A Biomarker-Based Diagnostic: When To Pull The Trigger?. COPD Journal of Chronic Obstructive Pulmonary Disease. 11(2). 226–235. 2 indexed citations
14.
Yang, Harry. (2013). Establishing Acceptable Limits of Residual DNA. PDA Journal of Pharmaceutical Science and Technology. 67(2). 155–163. 40 indexed citations
15.
Yang, Harry, et al.. (2013). A Risk-based Approach to Setting Sterile Filtration Bioburden Limits. PDA Journal of Pharmaceutical Science and Technology. 67(6). 601–609. 6 indexed citations
16.
Wu, Yuling, Xu Liu, Yan Chen, et al.. (2013). An electrochemiluminescence (ECL)-based assay for the specific detection of anti-drug antibodies of the IgE isotype. Journal of Pharmaceutical and Biomedical Analysis. 86. 73–81. 14 indexed citations
17.
Zhang, Lanju, et al.. (2013). Statistical methods and tool for cut point analysis in immunogenicity assays. Journal of Immunological Methods. 389(1-2). 79–87. 28 indexed citations
18.
Li, Na & Harry Yang. (2012). Statistical evaluations of viral clearance studies for biological products. Biologicals. 40(6). 439–444. 2 indexed citations
19.
Yang, Harry, et al.. (2010). A probabilistic model for risk assessment of residual host cell DNA in biological products. Vaccine. 28(19). 3308–3311. 17 indexed citations
20.
Adkins, Douglas, Voravit Ratanatharathorn, Harry Yang, & Barbara White. (2009). Safety Profile and Clinical Outcomes in a Phase I, Placebo-Controlled Study of Siplizumab in Acute Graft-Versus-Host Disease. Transplantation. 88(2). 198–202. 9 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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