Kun Man

432 citations
21 papers · 317 · h-index 10

Impact in

    • Magnesium Alloys: Properties and Applications
    • Electrospun Nanofibers in Biomedical Applications
    • 3D Printing in Biomedical Research
    • Bone Tissue Engineering Materials

Papers in

Kun Man

21 papers receiving 312 citations

Peers

Kun Man
Comparison fields: 5 of 59
  • Biomaterials 78
  • Biomedical Engineering 145
  • Animal Science and Zoology 33
  • Metals and Alloys 8
  • Cell Biology 32
Replace Haiqing Bai with:
Haiqing Bai China
Siyuan Chen China
Colette S. Ranucci United States
Mariana P. Hanga United Kingdom
Véronique Laforte Canada
Jingxuan Yan China
Bin Ma China
Yuying Kong China
Zhaoyang Sun China
Sasirekha Krishnan India
Kun Man relative to Haiqing Bai China Haiqing Bai's profile →
Citations per field
00.5×4.1×
Haiqing Bai · 1×
Citations per year

Countries citing papers authored by Kun Man

Since Specialization
Citations

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

Fields of papers citing papers by Kun Man

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Kun Man, 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 Kun Man Line = papers co-authored together Kun Man links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202071
2 202063
3 201732
4 202326
5 201919
6 202319
7 202214
8 202214
9 202312
10 20239
11 20238
12 20237
13 20245
14
Expression of core neutralizing epitope gene of porcine epidemic diarrhea virus in maize.
20143
15 20233
16 20242
17 20242
18 20242
19 20252
20 20232

About Kun Man

Kun Man is a scholar working on Biomedical Engineering, Mechanical Engineering, Biomaterials, Cell Biology and Surgery, having authored 21 papers that have together received 317 indexed citations. Recurring topics across this work include 3D Printing in Biomedical Research (8 papers), Cellular Mechanics and Interactions (4 papers), Microstructure and Mechanical Properties of Steels (3 papers), Electrospun Nanofibers in Biomedical Applications (3 papers), Tissue Engineering and Regenerative Medicine (3 papers), Pluripotent Stem Cells Research (2 papers), Additive Manufacturing Materials and Processes (2 papers) and Viral gastroenteritis research and epidemiology (2 papers). The work is most often cited by research in Biomaterials (78 citations), Biomedical Engineering (145 citations), Animal Science and Zoology (33 citations), Metals and Alloys (8 citations) and Cell Biology (32 citations). Kun Man has collaborated with scholars based in United States, China and Italy. Frequent co-authors include Yong Yang, Kai Wang, Jiafeng Liu, Mangesh V. Pantawane, Narendra B. Dahotre, Yee‐Hsien Ho, Sameehan S. Joshi, Qi Chen, Yong Zhou and Brian Meckes. Their work appears in journals such as ACS Applied Bio Materials, ACS Nano, ACS Applied Materials & Interfaces, Bioactive Materials and iScience.

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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