Peijun Ma

895 total citations · 1 hit paper
10 papers, 427 citations indexed

About

Peijun Ma is a scholar working on Molecular Biology, Molecular Medicine and Genetics. According to data from OpenAlex, Peijun Ma has authored 10 papers receiving a total of 427 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Molecular Medicine and 3 papers in Genetics. Recurrent topics in Peijun Ma's work include Evolution and Genetic Dynamics (3 papers), Antibiotic Resistance in Bacteria (3 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). Peijun Ma is often cited by papers focused on Evolution and Genetic Dynamics (3 papers), Antibiotic Resistance in Bacteria (3 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). Peijun Ma collaborates with scholars based in United States and Botswana. Peijun Ma's co-authors include Carl Hirschie Johnson, Deborah T. Hung, Premal Shah, Antonis Rokas, Yi Liu, Yao Xu, Roby P. Bhattacharyya, Lorrie L. He, Robert Nicol and Christopher S. Smillie and has published in prestigious journals such as Nature, Cell and Antimicrobial Agents and Chemotherapy.

In The Last Decade

Peijun Ma

10 papers receiving 425 citations

Hit Papers

Bacterial droplet-based single-cell RNA-seq reveals antib... 2023 2026 2024 2025 2023 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peijun Ma United States 8 286 62 51 46 46 10 427
Hanna Müller-Esparza Germany 6 372 1.3× 32 0.5× 121 2.4× 23 0.5× 59 1.3× 7 471
Ben-chang Shen China 3 292 1.0× 37 0.6× 36 0.7× 5 0.1× 77 1.7× 5 402
Swapnil Ganesh Sanmukh India 9 177 0.6× 250 4.0× 38 0.7× 6 0.1× 25 0.5× 31 396
Eric Evans United States 6 179 0.6× 15 0.2× 44 0.9× 81 1.8× 106 2.3× 11 482
Michael R Schertzberg Canada 9 271 0.9× 61 1.0× 36 0.7× 6 0.1× 187 4.1× 9 428
Frédéric Foucault France 10 160 0.6× 18 0.3× 20 0.4× 5 0.1× 59 1.3× 15 266
Jeevalatha Vivekananda United States 12 383 1.3× 53 0.9× 98 1.9× 6 0.1× 26 0.6× 18 510
Marcin Zagórski Poland 8 288 1.0× 25 0.4× 30 0.6× 3 0.1× 92 2.0× 16 421
Elizabeth K. Marsh United Kingdom 12 242 0.8× 14 0.2× 26 0.5× 21 0.5× 75 1.6× 17 465
Alexandra Kessler Germany 11 324 1.1× 206 3.3× 81 1.6× 8 0.2× 82 1.8× 13 476

Countries citing papers authored by Peijun Ma

Since Specialization
Citations

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

Fields of papers citing papers by Peijun Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peijun Ma

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

All Works

10 of 10 papers shown
1.
Ma, Peijun, Haley M. Amemiya, Lorrie L. He, et al.. (2023). Bacterial droplet-based single-cell RNA-seq reveals antibiotic-associated heterogeneous cellular states. Cell. 186(4). 877–891.e14. 137 indexed citations breakdown →
2.
Thakku, Sri Gowtham, Cheri M. Ackerman, Cameron Myhrvold, et al.. (2022). Multiplexed detection of bacterial nucleic acids using Cas13 in droplet microarrays. PNAS Nexus. 1(1). pgac021–pgac021. 26 indexed citations
3.
Woolley, Ann E., Scott Dryden‐Peterson, Andy Kim, et al.. (2022). At-home Testing and Risk Factors for Acquisition of SARS-CoV-2 Infection in a Major US Metropolitan Area. Open Forum Infectious Diseases. 9(11). ofac505–ofac505. 1 indexed citations
4.
Ma, Peijun, Lorrie L. He, Alejandro Pironti, et al.. (2021). Genetic determinants facilitating the evolution of resistance to carbapenem antibiotics. eLife. 10. 15 indexed citations
5.
Germanio, Clara Di, Graham Simmons, Kathleen Kelly, et al.. (2021). SARS‐CoV ‐2 antibody persistence in COVID ‐19 convalescent plasma donors: Dependency on assay format and applicability to serosurveillance. Transfusion. 61(9). 2677–2687. 29 indexed citations
6.
Ma, Peijun, et al.. (2018). Carbapenem Resistance Caused by High-Level Expression of OXA-663 β-Lactamase in an OmpK36-Deficient Klebsiella pneumoniae Clinical Isolate. Antimicrobial Agents and Chemotherapy. 62(11). 12 indexed citations
7.
Bhattacharyya, Roby P., Jamin Liu, Peijun Ma, et al.. (2017). Rapid Phenotypic Antibiotic Susceptibility Testing Through RNA Detection. Open Forum Infectious Diseases. 4(suppl_1). S33–S33. 5 indexed citations
8.
Ma, Peijun, Tetsuya Mori, Chi Zhao, Teresa Thiel, & Carl Hirschie Johnson. (2016). Evolution of KaiC-Dependent Timekeepers: A Proto-circadian Timing Mechanism Confers Adaptive Fitness in the Purple Bacterium Rhodopseudomonas palustris. PLoS Genetics. 12(3). e1005922–e1005922. 45 indexed citations
9.
Xu, Yao, Peijun Ma, Premal Shah, et al.. (2013). Non-optimal codon usage is a mechanism to achieve circadian clock conditionality. Nature. 495(7439). 116–120. 136 indexed citations
10.
Ma, Peijun, et al.. (2012). An evolutionary fitness enhancement conferred by the circadian system in cyanobacteria. Chaos Solitons & Fractals. 50. 65–74. 21 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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