Winnie Kam

23 papers receiving 2.0k citations

Peers

Winnie Kam
Comparison fields: 5 of 134
  • Health, Toxicology and Mutagenesis 905
  • Automotive Engineering 418
  • Neurology 178
  • Biological Psychiatry 52
  • Environmental Engineering 326
Replace Patrick W. F. Hadoke with:
Patrick W. F. Hadoke United Kingdom
Donghai Liang United States
Loren E. Wold United States
Amie K. Lund United States
Mariana Matera Veras Brazil
Ricardo Delgado‐Chávez Mexico
Fang Zhang China
Xiao Zhang China
Penelope G. Foulds United Kingdom
Winnie Kam relative to Patrick W. F. Hadoke United Kingdom Patrick W. F. Hadoke's profile →
Citations per field
00.5×4.7×
Patrick W. F. Hadoke · 1×
Citations per year

Countries citing papers authored by Winnie Kam

Since Specialization
Citations

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

Fields of papers citing papers by Winnie Kam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Winnie Kam. 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 Winnie Kam. The network helps show where Winnie Kam may publish in the future.

Co-authors

The 25 scholars most cited alongside Winnie Kam, 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 Winnie Kam Line = papers co-authored together Winnie Kam 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 2013299
2 2011219
3 2011204
4 2014193
5 1985174
6 2014174
7 2011168
8 201187
9 201281
10 201073
11 201756
12 201256
13 201253
14 201250
15 201645
16 201238
17 201323
18 201214
19 201211
20 19879

About Winnie Kam

Winnie Kam is a scholar working on Molecular Biology, Health, Toxicology and Mutagenesis, Automotive Engineering, Atmospheric Science and Pulmonary and Respiratory Medicine, having authored 23 papers that have together received 2.0k indexed citations. Recurring topics across this work include Air Quality and Health Impacts (11 papers), Vehicle emissions and performance (7 papers), Atmospheric chemistry and aerosols (4 papers), Mitochondrial Function and Pathology (4 papers), DNA Repair Mechanisms (3 papers), Radiation Therapy and Dosimetry (3 papers), Molecular Biology Techniques and Applications (3 papers) and Folate and B Vitamins Research (2 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (905 citations), Automotive Engineering (418 citations), Neurology (178 citations), Biological Psychiatry (52 citations) and Environmental Engineering (326 citations). Winnie Kam has collaborated with scholars based in United States, Australia and Hong Kong. Frequent co-authors include Richard B. Banati, Constantinos Sioutas, James J. Schauer, Nancy Daher, Kalam Cheung, Zhi Ning, Martin M. Shafer, Ryan J. Middleton, Éric Clauser and William J. Rutter. Their work appears in journals such as Atmospheric Environment, Proceedings of the National Academy of Sciences, Nature Communications, The Science of The Total Environment and Free Radical Biology and Medicine.

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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