He S. Yang

2.2k total citations · 1 hit paper
59 papers, 1.1k citations indexed

About

He S. Yang is a scholar working on Infectious Diseases, Molecular Biology and Health Informatics. According to data from OpenAlex, He S. Yang has authored 59 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Infectious Diseases, 10 papers in Molecular Biology and 6 papers in Health Informatics. Recurrent topics in He S. Yang's work include SARS-CoV-2 and COVID-19 Research (7 papers), COVID-19 Clinical Research Studies (7 papers) and Artificial Intelligence in Healthcare and Education (6 papers). He S. Yang is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (7 papers), COVID-19 Clinical Research Studies (7 papers) and Artificial Intelligence in Healthcare and Education (6 papers). He S. Yang collaborates with scholars based in United States, China and Netherlands. He S. Yang's co-authors include Zhen Zhao, Roger W. Beuerman, Xiao Rong Li, Shouping Liu, Donald Tan, Lei Zhou, Choi Mun Chan, Shao Zhao, Louis Tong and Michael E. Stern and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and SHILAP Revista de lepidopterología.

In The Last Decade

He S. Yang

52 papers receiving 1.1k citations

Hit Papers

align trajectories

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.

Microbiota-derived bile acids antagonize the host androgen receptor and drive anti-tumor immunity

2025 18 citations He S. Yang et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
He S. Yang United States	17	283	251	238	173	131	59	1.1k
Victoria McGilligan United Kingdom	19	77 0.3×	650 2.6×	253 1.1×	229 1.3×	289 2.2×	57	2.1k
Julia S. El-Sayed Moustafa United Kingdom	14	338 1.2×	288 1.1×	115 0.5×	128 0.7×	204 1.6×	27	1.6k
Jie Cao China	22	232 0.8×	438 1.7×	57 0.2×	93 0.5×	72 0.5×	74	1.6k
Simone Marini United States	19	81 0.3×	596 2.4×	129 0.5×	79 0.5×	50 0.4×	69	1.5k
Joon Seo Lim South Korea	18	343 1.2×	174 0.7×	40 0.2×	50 0.3×	168 1.3×	46	1.1k
Lang Wang China	22	647 2.3×	529 2.1×	39 0.2×	79 0.5×	76 0.6×	65	2.2k
Tingting Zhang China	15	165 0.6×	253 1.0×	99 0.4×	119 0.7×	84 0.6×	63	1.2k
Mark Daley Canada	17	286 1.0×	377 1.5×	27 0.1×	51 0.3×	171 1.3×	84	1.2k
Tavpritesh Sethi India	13	145 0.5×	254 1.0×	118 0.5×	58 0.3×	106 0.8×	27	827

Countries citing papers authored by He S. Yang

Since Specialization

Citations

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

Fields of papers citing papers by He S. Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of He S. Yang

This figure shows the co-authorship network connecting the top 25 collaborators of He S. Yang. A scholar is included among the top collaborators of He S. 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 He S. Yang. He S. Yang 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

Kalomeris, Taylor, Yaxin Li, Sabrina Racine‐Brzostek, et al.. (2025). Preanalytical Considerations of Handling Suspected Creutzfeldt–Jakob Disease Specimens Within the Clinical Pathology Laboratories: A Survey-Based Approach. Journal of Clinical Medicine. 14(1). 204–204.

Zhao, Zhen, Sabrina Racine‐Brzostek, J. Alex, et al.. (2025). Comparative evaluation of five tacrolimus assays in transplant recipients: implications for optimizing therapeutic drug monitoring. PubMed. 4. 1716789–1716789.

Li, Yaxin, et al.. (2024). The significance of antigen-antibody-binding avidity in clinical diagnosis. Critical Reviews in Clinical Laboratory Sciences. 62(1). 9–23. 4 indexed citations

Sosa, Branden, He S. Yang, Michelle M. McDonald, et al.. (2024). The performance of artificial intelligence chatbot large language models to address skeletal biology and bone health queries. Journal of Bone and Mineral Research. 39(2). 106–115. 14 indexed citations

Snozek, Christine L.H., Janetta Bryksin, Benjamin Gerson, et al.. (2024). Assessing knowledge gaps and educational needs in urine drug test interpretation among health care professionals. American Journal of Clinical Pathology. 163(1). 69–79. 1 indexed citations

Yang, He S., Yingheng Wang, Mark A. Zaydman, et al.. (2023). Generalizability of a Machine Learning Model for Improving Utilization of Parathyroid Hormone-Related Peptide Testing across Multiple Clinical Centers. Clinical Chemistry. 69(11). 1260–1269. 7 indexed citations

Hao, Ying, Kara L. Lynch, Ping Yu Fan, et al.. (2023). Development of a Machine Learning Algorithm for Drug Screening Analysis on High-Resolution UPLC-MSE/QTOF Mass Spectrometry. The Journal of Applied Laboratory Medicine. 8(1). 53–66. 5 indexed citations

Liu, Zong‐Ying, Carmen Torres, David Pépin, et al.. (2022). Chronic superphysiologic AMH promotes premature luteinization of antral follicles in human ovarian xenografts. Science Advances. 8(10). eabi7315–eabi7315. 7 indexed citations

Racine‐Brzostek, Sabrina, Mohsen Karbaschi, Christian Gaebler, et al.. (2021). TOP-Plus Is a Versatile Biosensor Platform for Monitoring SARS-CoV-2 Antibody Durability. Clinical Chemistry. 67(9). 1249–1258. 9 indexed citations

10.

Gómez-Escobar, Luis G., Justin J. Choi, Alain Borczuk, et al.. (2021). Cytokine signatures of end organ injury in COVID-19. Scientific Reports. 11(1). 12606–12606. 31 indexed citations

11.

Yang, He S., Yu Hou, Hao Zhang, et al.. (2021). Machine Learning Highlights Downtrending of COVID-19 Patients with a Distinct Laboratory Profile. SHILAP Revista de lepidopterología. 2021. 7574903–7574903. 3 indexed citations

12.

Zhao, Zhen, et al.. (2021). An Interesting Case of Isolated False-Reactive Hepatitis B Surface Antigen. SHILAP Revista de lepidopterología. 2021. 1–3. 1 indexed citations

13.

Ma, Lucy, Zhen Zhao, Sabrina Racine‐Brzostek, & He S. Yang. (2021). A rare case of persistent pseudohypobicarbonatemia arising from chemistry analyzer-specific interference. Clinica Chimica Acta. 519. 308–310.

14.

Racine‐Brzostek, Sabrina, Jim Yee, Ashley Sukhu, et al.. (2021). Rapid, robust, and sustainable antibody responses to mRNA COVID-19 vaccine in convalescent COVID-19 individuals. JCI Insight. 6(20). 16 indexed citations

15.

Yang, He S., Yu Hou, Ljiljana V. Vasović, et al.. (2020). Routine Laboratory Blood Tests Predict SARS-CoV-2 Infection Using Machine Learning. Clinical Chemistry. 66(11). 1396–1404. 76 indexed citations

16.

Racine‐Brzostek, Sabrina, He S. Yang, Amy Chadburn, et al.. (2020). COVID-19 Viral and Serology Testing in New York City Health Care Workers. American Journal of Clinical Pathology. 154(5). 592–595. 8 indexed citations

17.

Wang, Kaiyu, et al.. (2017). Construction and identification of invF gene deleted Yersinia ruckeri and its biological characteristics.. JOURNAL OF FISHERIES OF CHINA. 41(12). 1858–1866. 1 indexed citations

18.

Chen, Hsien‐Yi, et al.. (2016). Clenbuterol causing non–ST-segment elevation myocardial infarction in a teenage female desiring to lose weight: case and brief literature review. The American Journal of Emergency Medicine. 34(8). 1739.e5–1739.e7. 11 indexed citations

19.

Tong, Qi, Qing Chen, Yang Liu, He S. Yang, & Jun Liu. (2015). The prevalence and relevant risk factors of hypertension and prehypertension among women who planned to be pregnant in Chongqing city. 23(3). 256–261. 1 indexed citations

20.

Yang, He S.. (2011). Development of Cordyceps militaris Eight-treasure Porridge. Anhui nongye kexue. 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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