Samuel Yang

8.6k total citations · 1 hit paper
102 papers, 4.0k citations indexed

About

Samuel Yang is a scholar working on Molecular Biology, Epidemiology and Clinical Biochemistry. According to data from OpenAlex, Samuel Yang has authored 102 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 26 papers in Epidemiology and 22 papers in Clinical Biochemistry. Recurrent topics in Samuel Yang's work include Bacterial Identification and Susceptibility Testing (20 papers), Influenza Virus Research Studies (7 papers) and Respiratory viral infections research (7 papers). Samuel Yang is often cited by papers focused on Bacterial Identification and Susceptibility Testing (20 papers), Influenza Virus Research Studies (7 papers) and Respiratory viral infections research (7 papers). Samuel Yang collaborates with scholars based in United States, China and Australia. Samuel Yang's co-authors include Richard E. Rothman, Tza‐Huei Wang, Yi Zhang, Seungkyung Park, Charlotte A. Gaydos, Shin Lin, Justin Hardick, Yu‐Hsiang Hsieh, Pornpat Athamanolap and Kuangwen Hsieh and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Nano Letters.

In The Last Decade

Samuel Yang

97 papers receiving 3.9k 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.

PCR-based diagnostics for infectious diseases: uses, limitations, and future applications in acute-care settings

2004 729 citations Samuel Yang, Richard E. Rothman profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Samuel Yang United States	32	1.3k	1.2k	909	638	578	102	4.0k
Wei Gu China	25	2.4k 1.8×	2.0k 1.7×	632 0.7×	1.4k 2.2×	178 0.3×	109	5.7k
Steve Miller United States	32	2.7k 2.0×	1.2k 1.0×	2.1k 2.4×	2.3k 3.6×	524 0.9×	83	6.9k
Jung Hun Lee South Korea	34	1.1k 0.8×	439 0.4×	604 0.7×	328 0.5×	290 0.5×	150	5.1k
Yi Wang China	37	2.5k 1.9×	1.6k 1.4×	709 0.8×	1.2k 1.8×	115 0.2×	263	5.7k
Stacey A. Maskarinec United States	20	1.1k 0.8×	679 0.6×	360 0.4×	936 1.5×	467 0.8×	43	3.3k
Johan Malmström Sweden	41	2.7k 2.0×	537 0.4×	379 0.4×	370 0.6×	168 0.3×	177	6.2k
Masanori Kobayashi Japan	34	1.9k 1.4×	410 0.3×	720 0.8×	909 1.4×	635 1.1×	182	5.2k
Guiqing Wang China	36	794 0.6×	557 0.5×	339 0.4×	2.1k 3.3×	263 0.5×	159	4.7k
Martina Ulrich Germany	38	2.9k 2.2×	996 0.8×	1.6k 1.8×	914 1.4×	129 0.2×	114	6.8k
Milton R. Tam United States	27	1.0k 0.8×	1.4k 1.2×	854 0.9×	457 0.7×	84 0.1×	45	4.4k

Countries citing papers authored by Samuel Yang

Since Specialization

Citations

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

Fields of papers citing papers by Samuel Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Samuel Yang

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

All Works

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20 of 20 papers shown

Lee, Madeline J., Aaron J. Wilk, Andra L. Blomkalns, et al.. (2025). Interferon-mediated NK cell activation increases cytolytic activity against T follicular helper cells and limits antibody response to SARS-CoV-2. Nature Immunology. 26(12). 2201–2217.

Yang, Samuel & Fei Cao. (2024). Prognostic value of systemic immune-inflammation index and systemic inflammation response index for oral cancers: A systematic review and meta-analysis. Medicina oral, patología oral y cirugía bucal. 29(6). e822–e831. 5 indexed citations

Yang, Samuel. (2024). A Curriculum Model of Cybersecurity Bachelor’s Programs in AACSB-Accredited Business Schools in the US. Journal of the Association for Information Systems. 35(3). 313–324.

Ku, Ti‐Hsuan, et al.. (2024). Neutrophil extracellular traps have active DNAzymes that promote bactericidal activity. Nucleic Acids Research. 53(3). 2 indexed citations

Mann, Matthias, et al.. (2024). B-157 High Resolution Liquid Chromatography - Mass Spectrometry (LC-MS) For Rapid, High-Throughput Clinical Testing of β2-Transferrin in Human Nasal Secretions. Clinical Chemistry. 70(Supplement_1). 1 indexed citations

Nguyen, Thanh Thi, et al.. (2023). Comparative study of encoded and alignment-based methods for virus taxonomy classification. Scientific Reports. 13(1). 18662–18662. 1 indexed citations

Luo, Ruben Yiqi, et al.. (2023). Study of β1-transferrin and β2-transferrin using microprobe-capture in-emitter elution and high-resolution mass spectrometry. Scientific Reports. 13(1). 14974–14974. 4 indexed citations

Huang, David, et al.. (2023). Development and external validation of a pretrained deep learning model for the prediction of non-accidental trauma. npj Digital Medicine. 6(1). 131–131. 8 indexed citations

Nguyen, Thanh Thi, Mohamed Abdelrazek, Dung T. Nguyen, et al.. (2022). Origin of novel coronavirus causing COVID-19: A computational biology study using artificial intelligence. SHILAP Revista de lepidopterología. 9. 100328–100328. 5 indexed citations

10.

Ram-Mohan, Nikhil, David Kim, Angela J. Rogers, et al.. (2021). Association Between SARS-CoV-2 RNAemia and Postacute Sequelae of COVID-19. Open Forum Infectious Diseases. 9(2). ofab646–ofab646. 13 indexed citations

11.

Hashemi, M, Nikhil Ram-Mohan, Xi Yang, et al.. (2020). A Novel Platform Using RNA Signatures To Accelerate Antimicrobial Susceptibility Testing in Neisseria gonorrhoeae. Journal of Clinical Microbiology. 58(12). 10 indexed citations

12.

Yang, Samuel, et al.. (2019). Developing livable cities: do we have what it takes?. Cities & Health. 4(3). 321–335.

13.

Zhang, Yi, et al.. (2019). A ‘culture’ shift: Application of molecular techniques for diagnosing polymicrobial infections. Biotechnology Advances. 37(3). 476–490. 27 indexed citations

14.

Peña, Ike dela, et al.. (2018). Extension of Tissue Plasminogen Activator Treatment Window by Granulocyte-Colony Stimulating Factor in a Thromboembolic Rat Model of Stroke. International Journal of Molecular Sciences. 19(6). 1635–1635. 9 indexed citations

15.

Andini, Nadya, Bo Wang, Pornpat Athamanolap, et al.. (2017). Microbial Typing by Machine Learned DNA Melt Signatures. Scientific Reports. 7(1). 42097–42097. 29 indexed citations

16.

Athamanolap, Pornpat, Vishwa S. Parekh, Stephanie I. Fraley, et al.. (2014). Trainable High Resolution Melt Curve Machine Learning Classifier for Large-Scale Reliable Genotyping of Sequence Variants. PLoS ONE. 9(10). e109094–e109094. 39 indexed citations

17.

Wajnberg, Ania, et al.. (2011). Characteristics of Frequent Geriatric Users of an Urban Emergency Department. Journal of Emergency Medicine. 43(2). 376–381. 33 indexed citations

18.

Park, Seungkyung, Yi Zhang, Tza‐Huei Wang, & Samuel Yang. (2011). Continuous dielectrophoretic bacterial separation and concentration from physiological media of high conductivity. Lab on a Chip. 11(17). 2893–2893. 188 indexed citations

19.

South, Sarah T., et al.. (2010). Large Clinically Consequential Imbalances Detected at the Breakpoints of Apparently Balanced and Inherited Chromosome Rearrangements. Journal of Molecular Diagnostics. 12(5). 725–729. 5 indexed citations

20.

Cacciarelli, Alexander, et al.. (1981). Neonatal infection. The Journal of Pediatrics. 99(5). 822–826. 11 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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