Peijun Ma

895 citations
10 papers · 427 indexed · 1 hit paper · h-index 8
Topics
Evolution and Genetic Dynamics (3 papers)Antibiotic Resistance in Bacteria (3 papers)SARS-CoV-2 and COVID-19 Research (2 papers)
Partner nations
United StatesBotswana

In The Last Decade

Peijun Ma

10 papers receiving 425 citations

Hit Papers

Bacterial droplet-based single-cell RNA-seq reveals antib...202320262024202520234080120

Peers

Peijun Ma
Comparison fields: 5 of 80
  • Molecular Biology 286
  • Ecology 62
  • Plant Science 51
  • Endocrine and Autonomic Systems 46
  • Genetics 46
Replace Marcin Zagórski with:
Marcin Zagórski Poland
Ben-chang Shen China
Jingyun Li China
Frédéric Foucault France
Christian Linke Germany
Michael R Schertzberg Canada
Evelyn Santana United States
Hanna Müller-Esparza Germany
Chris Ford United Kingdom
Alexandra Kessler Germany
Peijun Ma relative to Marcin Zagórski Poland Marcin Zagórski's profile →
Citations per field
00.5×10×15.3×
Marcin Zagórski · 1×
Citations per year

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
#WorkIndexed citations
1
Bacterial droplet-based single-cell RNA-seq reveals antibiotic-associated heterogeneous cellular statesbreakdown →
137
2 1
3 26
4 29
5 15
6 12
7 5
8 45
9 136
10 21

About Peijun Ma

Peijun Ma is a scholar working on Molecular Medicine, Endocrine and Autonomic Systems and Modeling and Simulation, having authored 10 papers that have together received 427 indexed citations. Recurring topics across this work include Evolution and Genetic Dynamics (3 papers), Antibiotic Resistance in Bacteria (3 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). The work is most often cited by research in Molecular Medicine (38 citations), Endocrine and Autonomic Systems (46 citations) and Molecular Biology (286 citations). Peijun Ma has collaborated with scholars based in United States and Botswana. Frequent co-authors include Carl Hirschie Johnson, Deborah T. Hung, Yao Xu, Premal Shah, Antonis Rokas, Yi Liu, Roby P. Bhattacharyya, Lorrie L. He, Christopher S. Smillie and Robert Nicol. Their work appears in journals such as Nature, Cell and Antimicrobial Agents and Chemotherapy.

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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