Jun Pei Lim

952 citations
29 papers · 605 · h-index 16

Impact in

Papers in

Jun Pei Lim

27 papers receiving 601 citations

Peers

Jun Pei Lim
Comparison fields: 5 of 81
  • Geriatrics and Gerontology 270
  • Physiology 411
  • Aging 26
  • Psychiatry and Mental health 61
  • Health 33
Replace Dominik Spira with:
Dominik Spira Germany
Veerle Knoop Belgium
Rut Navarro-Martínez Spain
Justin Chew Singapore
Xue‐Feng Chu China
Marcus Kiiti Borges Brazil
Cristina Buigues Spain
Atsumu Yuki Japan
Catherine Siener United States
Niko Wasenius Finland
Jun Pei Lim relative to Dominik Spira Germany Dominik Spira's profile →
Citations per field
00.5×1.7×
Dominik Spira · 1×
Citations per year

Countries citing papers authored by Jun Pei Lim

Since Specialization
Citations

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

Fields of papers citing papers by Jun Pei Lim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202089
2 201971
3 202053
4 201838
5 201538
6 202031
7 201229
8 202028
9 202227
10 202124
11 202124
12 201219
13 202019
14 202018
15 202018
16 202015
17 202210
18 20229
19 20228
20 20207

About Jun Pei Lim

Jun Pei Lim is a scholar working on Physiology, Geriatrics and Gerontology, Economics and Econometrics, Psychiatry and Mental health and Public Health, Environmental and Occupational Health, having authored 29 papers that have together received 605 indexed citations. Recurring topics across this work include Nutrition and Health in Aging (20 papers), Frailty in Older Adults (15 papers), Body Composition Measurement Techniques (11 papers), Health Systems, Economic Evaluations, Quality of Life (5 papers), Dementia and Cognitive Impairment Research (3 papers), Intensive Care Unit Cognitive Disorders (2 papers), Cardiovascular Disease and Adiposity (2 papers) and Obesity, Physical Activity, Diet (2 papers). The work is most often cited by research in Geriatrics and Gerontology (270 citations), Physiology (411 citations), Aging (26 citations), Psychiatry and Mental health (61 citations) and Health (33 citations). Jun Pei Lim has collaborated with scholars based in Singapore, United States and Italy. Frequent co-authors include Wee Shiong Lim, Justin Chew, Audrey Yeo, Suzanne Yew, Yew Yoong Ding, Noor Hafizah Ismail, Yew Yoong Ding, Bernard P. Leung, Cai Tan and Laura Tay. Their work appears in journals such as The journal of nutrition health & aging, Journal of the American Medical Directors Association, Genes Brain & Behavior, Nutrients and Archives of Gerontology and Geriatrics.

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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