Cin Kong

985 citations
35 papers · 760 indexed · h-index 14

Impact in

  • Aging top 5%
    • Genetics, Aging, and Longevity in Model Organisms
    • Antimicrobial Peptides and Activities

Papers in

Cin Kong

30 papers receiving 744 citations

Peers

Cin Kong
Comparison fields: 5 of 105
  • Aging 55
  • Microbiology 93
  • Infectious Diseases 201
  • Molecular Medicine 49
  • Biotechnology 45
Replace Garima Sharma with:
Garima Sharma India
Isabelle Caldelari France
Júnya de Lacorte Singulani Brazil
Patrícia Pimentel de Barros Brazil
Márcia Regina von Zeska Kress Brazil
Katrijn De Brucker Belgium
Satish Kumar Rajasekharan South Korea
Hui Shi China
Mingzhou Zhang China
Lotte Jelsbak Denmark
Cin Kong relative to Garima Sharma India Garima Sharma's profile →
Citations per field
00.5×4.6×
Garima Sharma · 1×
Citations per year

Countries citing papers authored by Cin Kong

Since Specialization
Citations

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

Fields of papers citing papers by Cin Kong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016240
2 2018110
3 201465
4 201547
5 202139
6 201634
7 202134
8 201334
9 201423
10 202217
11 201617
12 202216
13 202216
14 202314
15 20229
16 20257
17 20196
18 20195
19 20225
20 20244

About Cin Kong

Cin Kong is a scholar working on Molecular Biology, Biomedical Engineering, Materials Chemistry, Aging and Organic Chemistry, having authored 35 papers that have together received 760 indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (5 papers), Burkholderia infections and melioidosis (4 papers), Additive Manufacturing and 3D Printing Technologies (4 papers), 3D Printing in Biomedical Research (4 papers), Bone Tissue Engineering Materials (3 papers), Nanoparticles: synthesis and applications (3 papers), Boron and Carbon Nanomaterials Research (2 papers) and Neuroscience and Neural Engineering (2 papers). The work is most often cited by research in Aging (55 citations), Microbiology (93 citations), Infectious Diseases (201 citations), Molecular Medicine (49 citations) and Biotechnology (45 citations). Cin Kong has collaborated with scholars based in Malaysia, Australia and United Kingdom. Frequent co-authors include Sheila Nathan, Hui‐min Neoh, Noorsaadah Abd Rahman, Ing Kong, Man-Wah Tan, Nicky Thomas, Chin Fei Chee, Katharina Richter, Helen Irving and Wageeh A. Yehye. Their work appears in journals such as Scientific Reports, Polymers, Frontiers in Microbiology, Phytotherapy Research and Advanced Healthcare Materials.

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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