Lay Cheng Lim

1.4k citations
23 papers · 417 · h-index 12

Impact in

Papers in

Lay Cheng Lim

22 papers receiving 406 citations

Peers

Lay Cheng Lim
Comparison fields: 5 of 80
  • Pathology and Forensic Medicine 158
  • Hematology 42
  • Oncology 96
  • Dermatology 29
  • Neurology 46
Replace Matthias Naegele with:
Matthias Naegele Switzerland
Hee Young Ju South Korea
S. Ostrow United States
Haris Babačić Sweden
P. Van Erps Belgium
Ildikó Garai Hungary
Melanie R. Hassler Austria
Noam Asna Israel
John Chan United States
Lay Cheng Lim relative to Matthias Naegele Switzerland Matthias Naegele's profile →
Citations per field
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Matthias Naegele · 1×
Citations per year

Countries citing papers authored by Lay Cheng Lim

Since Specialization
Citations

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

Fields of papers citing papers by Lay Cheng Lim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lay Cheng 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 Lay Cheng Lim. The network helps show where Lay Cheng Lim may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009113
2 202055
3 200752
4 200530
5 202128
6 201524
7 201820
8
Suicide and schizophrenia in Singapore--a fifteen year follow-up study.
199114
9
Mortality among psychiatric inpatients in Singapore.
199112
10 201212
11 201412
12 201511
13 20249
14
The prevalence of schizophrenia in relatives of schizophrenic patients.
19926
15
Mania following left hemisphere injury.
19965
16 20133
17 20033
18 20213
19
Munchausen syndrome by proxy.
19912
20 20121

About Lay Cheng Lim

Lay Cheng Lim is a scholar working on Molecular Biology, Oncology, Spectroscopy, Pathology and Forensic Medicine and Psychiatry and Mental health, having authored 23 papers that have together received 417 indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (5 papers), Lymphoma Diagnosis and Treatment (4 papers), Viral-associated cancers and disorders (3 papers), Schizophrenia research and treatment (3 papers), Cutaneous lymphoproliferative disorders research (3 papers), Acute Myeloid Leukemia Research (2 papers), Molecular Biology Techniques and Applications (2 papers) and Mental Health Treatment and Access (2 papers). The work is most often cited by research in Pathology and Forensic Medicine (158 citations), Hematology (42 citations), Oncology (96 citations), Dermatology (29 citations) and Neurology (46 citations). Lay Cheng Lim has collaborated with scholars based in Singapore, Malaysia and Japan. Frequent co-authors include Soon Thye Lim, Siew Wan Hee, Joanne Ngeow, David Chee Eng Ng, R. Quek, Yao Tan, M. Tao, Yang Mooi Lim, Pey Yee Lee and Teck Yew Low. Their work appears in journals such as PROTEOMICS, Journal of the American Academy of Dermatology, Histopathology, Pathology & Oncology Research and Annals of Oncology.

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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