Sin Eng Chia

138 papers receiving 4.3k citations

Peers

Sin Eng Chia
Comparison fields: 5 of 180
  • Reproductive Medicine 823
  • Health, Toxicology and Mutagenesis 1.2k
  • Behavioral Neuroscience 157
  • Chemical Health and Safety 23
  • Nutrition and Dietetics 495
Replace Gertrud S. Berkowitz with:
Gertrud S. Berkowitz United States
Mary Lee United States
Laura Fenster United States
Wojciech Hanke Poland
Steven J. Samuels United States
Emily S. Barrett United States
Lynn R. Goldman United States
R A Elton United Kingdom
Nel Roeleveld Netherlands
Jorge E. Chavarro United States
Sin Eng Chia relative to Gertrud S. Berkowitz United States Gertrud S. Berkowitz's profile →
Citations per field
00.5×2.7×
Gertrud S. Berkowitz · 1×
Citations per year

Countries citing papers authored by Sin Eng Chia

Since Specialization
Citations

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

Fields of papers citing papers by Sin Eng Chia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sin Eng Chia. 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 Sin Eng Chia. The network helps show where Sin Eng Chia may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 140 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005367
2 2000187
3 2002159
4 1993142
5 1997128
6 1999115
7 2003103
8 201998
9 200793
10 200186
11 200282
12
Effect of cadmium and cigarette smoking on human semen quality.
199580
13 199879
14 200077
15 199377
16 201477
17 199376
18 199273
19 200072
20 200867

About Sin Eng Chia

Sin Eng Chia is a scholar working on Health, Toxicology and Mutagenesis, Pulmonary and Respiratory Medicine, Public Health, Environmental and Occupational Health, Reproductive Medicine and Nutrition and Dietetics, having authored 140 papers that have together received 4.6k indexed citations. Recurring topics across this work include Heavy Metal Exposure and Toxicity (19 papers), Sperm and Testicular Function (16 papers), Trace Elements in Health (13 papers), Pesticide Exposure and Toxicity (11 papers), Carcinogens and Genotoxicity Assessment (9 papers), Musculoskeletal pain and rehabilitation (8 papers), Disaster Response and Management (8 papers) and Workplace Health and Well-being (7 papers). The work is most often cited by research in Reproductive Medicine (823 citations), Health, Toxicology and Mutagenesis (1.2k citations), Behavioral Neuroscience (157 citations), Chemical Health and Safety (23 citations) and Nutrition and Dietetics (495 citations). Sin Eng Chia has collaborated with scholars based in Singapore, United States and China. Frequent co-authors include Choon Nam Ong, David Koh, Han‐Ming Shen, Vivian Ng, J Jeyaratnam, Sun‐Kuie Tay, Bo Xu, Ho‐Beng Chia, Gerald Choon‐Huat Koh and L. H. Chua. Their work appears in journals such as Occupational and Environmental Medicine, Occupational Medicine, Journal of Occupational and Environmental Medicine, Environmental Health Perspectives and Scandinavian Journal of Work Environment & Health.

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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