M. Na

655 total citations
3 papers, 6 citations indexed

About

M. Na is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Control and Systems Engineering. According to data from OpenAlex, M. Na has authored 3 papers receiving a total of 6 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Molecular Biology, 1 paper in Pathology and Forensic Medicine and 1 paper in Control and Systems Engineering. Recurrent topics in M. Na's work include Advanced Control Systems Optimization (1 paper), Phytoestrogen effects and research (1 paper) and Mineral Processing and Grinding (1 paper). M. Na is often cited by papers focused on Advanced Control Systems Optimization (1 paper), Phytoestrogen effects and research (1 paper) and Mineral Processing and Grinding (1 paper). M. Na collaborates with scholars based in China, South Korea and Singapore. M. Na's co-authors include Ann‐Marie Wennberg, Jiufang Duan, Feng Chi, Ji Li, Fenglun Zhang, Xichuang Cheng, Min‐Soo Kim, Eun‐Sol Ha and Jianxin Jiang and has published in prestigious journals such as Food Research International, Journal of Pharmaceutical Investigation and The Journal of Frailty & Aging.

In The Last Decade

M. Na

2 papers receiving 5 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Na China 2 2 2 1 1 1 3 6
S. X. Du China 2 2 1.0× 1 0.5× 18 14
Ariana P. Toepfer United States 1 2 1.0× 3 2
Roland Franz 1 2 1.0× 1 0.5× 2 3
ALFRED W. BENNETT 2 2 1.0× 3 1.5× 2 7
Seyoung Han China 2 2 1.0× 3 3
Y. Cheng China 1 2 1.0× 3 3
X. T. Huang China 3 2 1.0× 4 7
Jieyan Yang China 2 2 1.0× 4 5
Yiming Yao China 2 2 1.0× 1 1.0× 5 5
M. Zhong China 2 2 1.0× 5 6

Countries citing papers authored by M. Na

Since Specialization
Citations

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

Fields of papers citing papers by M. Na

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Na

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

All Works

3 of 3 papers shown
1.
Chi, Feng, Xichuang Cheng, M. Na, et al.. (2025). Green preparation of low-molecular-weight galactomannan from Gleditsia sinensis and mechanistic investigation on ameliorating nonalcoholic fatty liver disease. Food Research International. 201. 115647–115647. 3 indexed citations
2.
Na, M., et al.. (2025). Comprehensive review in continuous direct compression process. Journal of Pharmaceutical Investigation. 55(3). 415–462.
3.
Wennberg, Ann‐Marie, et al.. (2024). Food Insecurity, Vision Impairment, and Longitudinal Risk of Frailty and Falls in The National Health and Aging Trends Study. The Journal of Frailty & Aging. 13(3). 285–292. 3 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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