Pak‐Leong Lim

662 citations
27 papers · 511 · h-index 11

Impact in

Papers in

Pak‐Leong Lim

27 papers receiving 493 citations

Peers

Pak‐Leong Lim
Comparison fields: 5 of 82
  • Endocrinology 45
  • Infectious Diseases 99
  • Food Science 98
  • Molecular Biology 265
  • Immunology 77
Replace Sylvie Rouyre with:
Sylvie Rouyre France
Ivano Arioli Italy
Gary Chris Fillmore United States
Imran Mohammed United Kingdom
Djenet Bousbaine United States
William D. Perkins United States
Siba Prasad Bhattacharyya United States
Elena Cartocci Italy
Kaori Denda‐Nagai Japan
Eva M. Click United States
Pak‐Leong Lim relative to Sylvie Rouyre France Sylvie Rouyre's profile →
Citations per field
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Sylvie Rouyre · 1×
Citations per year

Countries citing papers authored by Pak‐Leong Lim

Since Specialization
Citations

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

Fields of papers citing papers by Pak‐Leong Lim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pak‐Leong Lim. 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‐Leong Lim. The network helps show where Pak‐Leong Lim may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999143
2 199863
3 200446
4 198730
5 200729
6 200527
7 200524
8 200122
9 200416
10 198614
11 198313
12 199010
13 20049
14 20169
15 19898
16 19978
17 20027
18 19997
19 20046
20 19886

About Pak‐Leong Lim

Pak‐Leong Lim is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Immunology, Rheumatology and Food Science, having authored 27 papers that have together received 511 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (9 papers), T-cell and B-cell Immunology (5 papers), Salmonella and Campylobacter epidemiology (5 papers), Glycosylation and Glycoproteins Research (3 papers), RNA Interference and Gene Delivery (3 papers), Viral gastroenteritis research and epidemiology (3 papers), Systemic Lupus Erythematosus Research (3 papers) and Protein purification and stability (3 papers). The work is most often cited by research in Endocrinology (45 citations), Infectious Diseases (99 citations), Food Science (98 citations), Molecular Biology (265 citations) and Immunology (77 citations). Pak‐Leong Lim has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Frankie C. H. Tam, M Jegathesan, Yiu‐Loon Chui, Sui-Fan Tong, Jingwu Xie, Moncef Zouali, Ho‐Keung Ng, Frank McCormick, Ka‐Fai To and Ben Chung-Lap Chan. Their work appears in journals such as Journal of Immunological Methods, Molecular Immunology, International Immunology, Biochemical and Biophysical Research Communications and Immunotechnology.

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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