Junjie Ma

1.6k total citations · 1 hit paper
9 papers, 1.0k citations indexed

About

Junjie Ma is a scholar working on Immunology, Physiology and Surgery. According to data from OpenAlex, Junjie Ma has authored 9 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Immunology, 3 papers in Physiology and 2 papers in Surgery. Recurrent topics in Junjie Ma's work include IL-33, ST2, and ILC Pathways (4 papers), Immune Cell Function and Interaction (4 papers) and Asthma and respiratory diseases (3 papers). Junjie Ma is often cited by papers focused on IL-33, ST2, and ILC Pathways (4 papers), Immune Cell Function and Interaction (4 papers) and Asthma and respiratory diseases (3 papers). Junjie Ma collaborates with scholars based in Sweden, China and Belgium. Junjie Ma's co-authors include Jian Kang, Jun Liu, Xurui Cheng, Caiyun Fu, Xiangyu Hong, Qiyu Zhang, Gang Shao, Zhibin Yan, Jonathan M. Coquet and Christopher A. Tibbitt and has published in prestigious journals such as The Journal of Experimental Medicine, Immunity and Applied and Environmental Microbiology.

In The Last Decade

Junjie Ma

9 papers receiving 1.0k citations

Hit Papers

Antimicrobial peptides: mechanism of action, activity and... 2021 2026 2022 2024 2021 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Junjie Ma Sweden 7 511 474 259 159 95 9 1.0k
Pushpanathan Muthuirulan United States 16 1.0k 2.0× 868 1.8× 184 0.7× 178 1.1× 56 0.6× 42 1.7k
Paulo C. Maffía Argentina 17 593 1.2× 589 1.2× 212 0.8× 119 0.7× 30 0.3× 33 1.0k
Nicholas Beckloff United States 7 404 0.8× 534 1.1× 242 0.9× 54 0.3× 28 0.3× 10 868
Justyna Jarczak Poland 11 433 0.8× 438 0.9× 251 1.0× 114 0.7× 42 0.4× 34 971
Jun Lei China 7 545 1.1× 590 1.2× 115 0.4× 110 0.7× 16 0.2× 17 958
M. Rangarajan United Kingdom 28 921 1.8× 396 0.8× 320 1.2× 61 0.4× 147 1.5× 65 2.4k
Deborah A. O′Neil United Kingdom 19 764 1.5× 966 2.0× 721 2.8× 239 1.5× 61 0.6× 35 1.9k
Chenhong Zhu China 5 536 1.0× 590 1.2× 117 0.5× 112 0.7× 14 0.1× 11 942
Yaomei Tian China 20 831 1.6× 213 0.4× 409 1.6× 67 0.4× 34 0.4× 36 1.5k

Countries citing papers authored by Junjie Ma

Since Specialization
Citations

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

Fields of papers citing papers by Junjie Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junjie Ma

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

All Works

9 of 9 papers shown
1.
Mathä, Laura, Lisette Krabbendam, Balthasar A. Heesters, et al.. (2024). Human CD127 negative ILC2s show immunological memory. The Journal of Experimental Medicine. 221(8). 8 indexed citations
2.
Stark, Julian M., Christopher A. Tibbitt, Junjie Ma, et al.. (2022). Recombinant multimeric dog allergen prevents airway hyperresponsiveness in a model of asthma marked by vigorous T H 2 and T H 17 cell responses. Allergy. 77(10). 2987–3001. 6 indexed citations
3.
Sheward, Daniel J., Leo Hanke, Junjie Ma, et al.. (2021). SARS-CoV-2 protein subunit vaccination of mice and rhesus macaques elicits potent and durable neutralizing antibody responses. Cell Reports Medicine. 2(4). 100252–100252. 27 indexed citations
4.
Classon, Cajsa, Junjie Ma, Xiaogang Feng, et al.. (2021). Intestinal helminth infection transforms the CD4+ T cell composition of the skin. Mucosal Immunology. 15(2). 257–267. 8 indexed citations
5.
Zhang, Qiyu, Zhibin Yan, Xiangyu Hong, et al.. (2021). Antimicrobial peptides: mechanism of action, activity and clinical potential. Military Medical Research. 8(1). 48–48. 711 indexed citations breakdown →
6.
Ma, Junjie, Christopher A. Tibbitt, Susanna Kumlien Georén, et al.. (2021). Single-cell analysis pinpoints distinct populations of cytotoxic CD4 + T cells and an IL-10 + CD109 + T H 2 cell population in nasal polyps. Science Immunology. 6(62). 49 indexed citations
7.
Tibbitt, Christopher A., Julian M. Stark, Liesbet Martens, et al.. (2019). Single-Cell RNA Sequencing of the T Helper Cell Response to House Dust Mites Defines a Distinct Gene Expression Signature in Airway Th2 Cells. Immunity. 51(1). 169–184.e5. 175 indexed citations
8.
Benson, Andrew K., Gordon S. Smith, Joseph Nietfeldt, et al.. (2014). Microbial Successions Are Associated with Changes in Chemical Profiles of a Model Refrigerated Fresh Pork Sausage during an 80-Day Shelf Life Study. Applied and Environmental Microbiology. 80(17). 5178–5194. 63 indexed citations
9.
Zuo, Hongyan, Dewen Wang, Ruiyun Peng, et al.. (2009). [Effects of electromagnetic radiation on RAF/MEK/ERK signaling pathway in rats hippocampus].. PubMed. 25(2). 186–9. 2 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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