Jason H. Yang

4.6k total citations · 3 hit papers
43 papers, 3.2k citations indexed

About

Jason H. Yang is a scholar working on Molecular Biology, Infectious Diseases and Molecular Medicine. According to data from OpenAlex, Jason H. Yang has authored 43 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 8 papers in Infectious Diseases and 8 papers in Molecular Medicine. Recurrent topics in Jason H. Yang's work include Antibiotic Resistance in Bacteria (8 papers), Gut microbiota and health (4 papers) and Tuberculosis Research and Epidemiology (4 papers). Jason H. Yang is often cited by papers focused on Antibiotic Resistance in Bacteria (8 papers), Gut microbiota and health (4 papers) and Tuberculosis Research and Epidemiology (4 papers). Jason H. Yang collaborates with scholars based in United States, China and Denmark. Jason H. Yang's co-authors include James J. Collins, Michael A. Lobritz, Peter Belenky, Ahmad S. Khalil, Daniel J. Dwyer, Caroline Porter, Arnaud Gutierrez, Allison J. Lopatkin, Jeffrey J. Saucerman and Graham C. Walker and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Jason H. Yang

38 papers receiving 3.1k 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.

Antibiotics induce redox-related physiological alterations as part of their lethality

2014 695 citations Daniel J. Dwyer, Peter Belenky et al. Proceedings of the National Academy of Sciences profile →
Antibiotic efficacy is linked to bacterial cellular respiration

2015 539 citations Michael A. Lobritz, Peter Belenky et al. Proceedings of the National Academy of Sciences profile →
Clinically relevant mutations in core metabolic genes confer antibiotic resistance

2021 238 citations Allison J. Lopatkin, Abigail L. Manson et al. Science profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jason H. Yang United States	21	1.7k	935	546	412	320	43	3.2k
Boris Hayete United States	9	2.6k 1.5×	862 0.9×	749 1.4×	362 0.9×	270 0.8×	16	4.1k
Peter Belenky United States	27	2.4k 1.4×	807 0.9×	529 1.0×	622 1.5×	284 0.9×	47	4.7k
Jianfeng Wang China	34	1.6k 1.0×	731 0.8×	131 0.2×	394 1.0×	352 1.1×	206	3.8k
Nathaniel I. Martin Netherlands	35	2.0k 1.2×	621 0.7×	194 0.4×	286 0.7×	548 1.7×	135	3.4k
Paul Miller United States	23	1.5k 0.9×	555 0.6×	637 1.2×	418 1.0×	187 0.6×	40	2.8k
Jeffrey P. Henderson United States	37	1.5k 0.9×	524 0.6×	417 0.8×	543 1.3×	127 0.4×	79	3.9k
Gabriella Spengler Hungary	36	1.8k 1.1×	730 0.8×	120 0.2×	400 1.0×	509 1.6×	228	4.4k
Takeshi Nishino Japan	27	1.4k 0.8×	1.9k 2.0×	573 1.0×	286 0.7×	728 2.3×	122	3.1k
Klaas M. Pos Germany	38	2.4k 1.4×	2.8k 3.0×	1.1k 2.1×	747 1.8×	902 2.8×	83	5.5k

Countries citing papers authored by Jason H. Yang

Since Specialization

Citations

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

Fields of papers citing papers by Jason H. Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jason H. Yang

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

Srivastava, Shivani, Majid B. Shaikh, Eric Chiles, et al.. (2025). Bioenergetic stress potentiates antimicrobial resistance and persistence. Nature Communications. 16(1). 5111–5111. 2 indexed citations

Chen, Yi‐Ling, Xu Liu, Lizhan Zhang, et al.. (2025). Cell Sizes Matter for Industrial Bioproduction, a Case of Polyhydroxybutyrate. Advanced Science. 12(14). e2412256–e2412256. 4 indexed citations

Oni, Tolu, et al.. (2025). Crossed paths: a systematic review unveiling patterns in crossed testicular ectopia. World Journal of Urology. 43(1). 125–125.

Rustad, Tige R., et al.. (2025). Predicting fitness in Mycobacterium tuberculosis with transcriptional regulatory network-informed interpretable machine learning. PubMed. 3. 1 indexed citations

Yang, Jason H., et al.. (2024). Neurovascular Complications Following Clavicle Fracture Fixation: Timing, Mechanisms, and Clinical Implications. Cureus. 16(11). e74512–e74512.

Wang, Cecilia, Chen‐Yi Cheung, Boatema Ofori-Anyinam, et al.. (2024). Whole genome CRISPRi screening identifies druggable vulnerabilities in an isoniazid resistant strain of Mycobacterium tuberculosis. Nature Communications. 15(1). 9791–9791. 12 indexed citations

Lemenze, Alexander, Emily C. Fogarty, Courtney Grady, et al.. (2022). A comprehensive update to the Mycobacterium tuberculosis H37Rv reference genome. Nature Communications. 13(1). 7068–7068. 26 indexed citations

Lopatkin, Allison J., Abigail L. Manson, Jonathan Stokes, et al.. (2021). Clinically relevant mutations in core metabolic genes confer antibiotic resistance. Science. 371(6531). 238 indexed citations breakdown →

Anahtar, Melis N., Jason H. Yang, & Sanjat Kanjilal. (2021). Applications of Machine Learning to the Problem of Antimicrobial Resistance: an Emerging Model for Translational Research. Journal of Clinical Microbiology. 59(7). e0126020–e0126020. 117 indexed citations

10.

Hooven, Thomas A., et al.. (2021). Growth and Stress Tolerance Comprise Independent Metabolic Strategies Critical for Staphylococcus aureus Infection. mBio. 12(3). e0081421–e0081421. 18 indexed citations

11.

Lopatkin, Allison J., Abigail L. Manson, Jonathan Stokes, et al.. (2021). Clinically relevant mutations in core metabolic genes confer antibiotic resistance. DSpace@MIT (Massachusetts Institute of Technology). 3 indexed citations

12.

Lopatkin, Allison J., Jonathan Stokes, Erica J. Zheng, et al.. (2019). Bacterial metabolic state more accurately predicts antibiotic lethality than growth rate. Nature Microbiology. 4(12). 2109–2117. 170 indexed citations

13.

Yang, Jason H., Sarah N. Wright, Meagan Hamblin, et al.. (2019). A White-Box Machine Learning Approach for Revealing Antibiotic Mechanisms of Action. Cell. 177(6). 1649–1661.e9. 225 indexed citations

14.

McAlvin, J. Brian, Ryan G. Wylie, Minh-Thuy Nguyen, et al.. (2018). Antibody-modified conduits for highly selective cytokine elimination from blood. JCI Insight. 3(13). 4 indexed citations

15.

Meylan, Sylvain, Caroline Porter, Jason H. Yang, et al.. (2017). Carbon Sources Tune Antibiotic Susceptibility in Pseudomonas aeruginosa via Tricarboxylic Acid Cycle Control. Cell chemical biology. 24(2). 195–206. 282 indexed citations

16.

Lobritz, Michael A., Peter Belenky, Caroline Porter, et al.. (2015). Antibiotic efficacy is linked to bacterial cellular respiration. Proceedings of the National Academy of Sciences. 112(27). 8173–8180. 539 indexed citations breakdown →

17.

Dwyer, Daniel J., Peter Belenky, Jason H. Yang, et al.. (2014). Antibiotics induce redox-related physiological alterations as part of their lethality. Proceedings of the National Academy of Sciences. 111(20). E2100–9. 695 indexed citations breakdown →

18.

Yang, Jason H., Renata Polanowska‐Grabowska, Jeffrey S. Smith, C. Wyatt Shields, & Jeffrey J. Saucerman. (2013). PKA catalytic subunit compartmentation regulates contractile and hypertrophic responses to β-adrenergic signaling. Journal of Molecular and Cellular Cardiology. 66. 83–93. 43 indexed citations

19.

Yang, Jason H. & Jeffrey J. Saucerman. (2012). Phospholemman is a negative feed-forward regulator of Ca2+ in β-adrenergic signaling, accelerating β-adrenergic inotropy. Journal of Molecular and Cellular Cardiology. 52(5). 1048–1055. 27 indexed citations

20.

Allen, Robert H., et al.. (2005). Simulating complicated human birth for research and training. PubMed. 3. 2762–2766. 7 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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