Kan Ma

1.8k citations
56 papers · 1.5k · h-index 19

Impact in

  • Physiology top 5%
    • Alzheimer's disease research and treatments
    • Supramolecular Self-Assembly in Materials

Papers in

Kan Ma

51 papers receiving 1.5k citations

Peers

Kan Ma
Comparison fields: 5 of 119
  • Physiology 520
  • Biomaterials 197
  • Molecular Biology 849
  • Cardiology and Cardiovascular Medicine 169
  • Computational Theory and Mathematics 133
Replace Vladimir A. Mitkevich with:
Vladimir A. Mitkevich Russia
Luitgard Nagel‐Steger Germany
Joseph G. Neduvelil United Kingdom
Yin Luo China
Peilong Lu China
Dean A. Malencik United States
Chi L.L. Pham Australia
Seema Qamar United Kingdom
Hsiau‐Wei Lee United States
Theresa A. Good United States
Kan Ma relative to Vladimir A. Mitkevich Russia Vladimir A. Mitkevich's profile →
Citations per field
00.5×2×2.9×
Vladimir A. Mitkevich · 1×
Citations per year

Countries citing papers authored by Kan Ma

Since Specialization
Citations

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

Fields of papers citing papers by Kan Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Kan Ma, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kan Ma Line = papers co-authored together Kan Ma links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999270
2 1999164
3 2002129
4 2001121
5 199799
6 199982
7 200266
8 200347
9 199542
10 200637
11 202135
12 199630
13 202330
14 200629
15 202024
16 199523
17 202222
18 201518
19 201018
20 202317

About Kan Ma

Kan Ma is a scholar working on Molecular Biology, Mechanical Engineering, Materials Chemistry, Cardiology and Cardiovascular Medicine and Computational Mechanics, having authored 56 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cardiomyopathy and Myosin Studies (7 papers), Ion-surface interactions and analysis (6 papers), Nuclear Materials and Properties (6 papers), High Entropy Alloys Studies (6 papers), Fusion materials and technologies (6 papers), High-Temperature Coating Behaviors (5 papers), Intermetallics and Advanced Alloy Properties (5 papers) and Protein Structure and Dynamics (5 papers). The work is most often cited by research in Physiology (520 citations), Biomaterials (197 citations), Molecular Biology (849 citations), Cardiology and Cardiovascular Medicine (169 citations) and Computational Theory and Mathematics (133 citations). Kan Ma has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Michael G. Zagorski, Kuan Wang, Haiyan Shao, Shu‐Chuan Jao, Lou‐Sing Kan, Hou‐Ming Wu, Hong Zeng, Anita Hong, Jing Yang and Ron Orlando. Their work appears in journals such as Journal of Natural Products, Acta Materialia, Phytochemistry, Scripta Materialia and Chinese Journal of Chemistry.

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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