Pak Lin Chin

1.5k citations
30 papers · 1.2k indexed · h-index 19
Topics
Total Knee Arthroplasty Outcomes (29 papers)Orthopaedic implants and arthroplasty (23 papers)Orthopedic Infections and Treatments (17 papers)
Partner nations
SingaporeUnited States

In The Last Decade

Pak Lin Chin

28 papers receiving 1.1k citations

Peers

Pak Lin Chin
Comparison fields: 5 of 60
  • Surgery 1.1k
  • Biochemistry 76
  • Biomedical Engineering 56
  • Internal Medicine 43
  • Rheumatology 31
Replace Hee Nee Pang with:
Hee Nee Pang Singapore
Chaturong Pornrattanamaneewong Thailand
David G. Nazarian United States
Ivan J. Brenkel United Kingdom
Hari P. Bezwada United States
Pierre‐Emmanuel Schwab Belgium
Claudio Díaz-Ledezma United States
P. Walmsley United Kingdom
Julian F. Maempel United Kingdom
Harish Kapoor United Kingdom
Pak Lin Chin relative to Hee Nee Pang Singapore Hee Nee Pang's profile →
Citations per field
00.5×3.2×
Hee Nee Pang · 1×
Citations per year

Countries citing papers authored by Pak Lin Chin

Since Specialization
Citations

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

Fields of papers citing papers by Pak Lin Chin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pak Lin Chin. 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 Pak Lin Chin. The network helps show where Pak Lin Chin may publish in the future.

Co-authorship network of co-authors of Pak Lin Chin

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 8
2 4
3 64
4 153
5 66
6 33
7 25
8 6
9 47
10 19
11 19
12 18
13 18
14 18
15 69
16 24
17 37
18 26
19 59
20 190

About Pak Lin Chin

Pak Lin Chin is a scholar working on Surgery, Internal Medicine and Biochemistry, having authored 30 papers that have together received 1.2k indexed citations. Recurring topics across this work include Total Knee Arthroplasty Outcomes (29 papers), Orthopaedic implants and arthroplasty (23 papers) and Orthopedic Infections and Treatments (17 papers). The work is most often cited by research in Surgery (1.1k citations), Biochemistry (76 citations) and Internal Medicine (43 citations). Pak Lin Chin has collaborated with scholars based in Singapore and United States. Frequent co-authors include Seng Jin Yeo, Ngai Nung Lo, Darren Keng Jin Tay, Ming Han Lincoln Liow, Shi‐Lu Chia, Merng Koon Wong, Seng-Jin Yeo, Keng Jin Darren Tay, Jerry Yongqiang Chen and Graham S. Goh. Their work appears in journals such as SHILAP Revista de lepidopterología, Clinical Orthopaedics and Related Research and The Journal of Arthroplasty.

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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