Kun Man

461 citations
21 papers · 338 · h-index 9

Impact in

Papers in

Kun Man

21 papers receiving 333 citations

Peers

Kun Man
Comparison fields: 5 of 61
  • Biomaterials 79
  • Animal Science and Zoology 35
  • Metals and Alloys 9
  • Biomedical Engineering 147
  • Mechanical Engineering 74
Replace Yuying Kong with:
Yuying Kong China
Mariana Petronela Hanga United Kingdom
Sasirekha Krishnan India
Birgit Paul Germany
Véronique Laforte Canada
Zhaoyang Sun China
Jingxuan Yan China
Ziyu Huang China
George E. Aninwene United States
Rosalba Monica Ferraro Italy
Kun Man relative to Yuying Kong China Yuying Kong's profile →
Citations per field
00.5×2×3×3.9×
Yuying Kong · 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 202072
2 202065
3 201732
4 202325
5 201921
6 202320
7 202217
8 202316
9 202215
10 20239
11 20239
12 20238
13
Expression of core neutralizing epitope gene of porcine epidemic diarrhea virus in maize.
20145
14 20245
15 20234
16 20233
17 20243
18 20253
19 20242
20 20232

About Kun Man

Kun Man is a scholar working on Biomaterials, Cell Biology, Biomedical Engineering, Mechanical Engineering and Animal Science and Zoology, having authored 21 papers that have together received 338 indexed citations. Recurring topics across this work include 3D Printing in Biomedical Research (8 papers), Cellular Mechanics and Interactions (4 papers), Electrospun Nanofibers in Biomedical Applications (3 papers), Tissue Engineering and Regenerative Medicine (3 papers), Microstructure and Mechanical Properties of Steels (3 papers), Viral gastroenteritis research and epidemiology (2 papers), Pluripotent Stem Cells Research (2 papers) and Additive Manufacturing Materials and Processes (2 papers). The work is most often cited by research in Biomaterials (79 citations), Animal Science and Zoology (35 citations), Metals and Alloys (9 citations), Biomedical Engineering (147 citations) and Mechanical Engineering (74 citations). Kun Man has collaborated with scholars based in United States, China and Italy. Frequent co-authors include Yong Suk Yang, Kai Wang, Jiafeng Liu, Narendra B. Dahotre, Mangesh V. Pantawane, Yee‐Hsien Ho, Sameehan S. Joshi, Qi Chen, Yong Zhou and Brian Meckes. Their work appears in journals such as ACS Nano, ACS Applied Materials & Interfaces, ACS Applied Bio Materials, Vaccine and Metals.

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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