Mandy Kwong

3.3k citations
22 papers · 1.7k · h-index 14

Impact in

Papers in

Mandy Kwong

21 papers receiving 1.7k citations

Peers

Mandy Kwong
Comparison fields: 5 of 95
  • Geriatrics and Gerontology 94
  • Immunology 342
  • Molecular Biology 1.0k
  • Neurology 111
  • Biological Psychiatry 30
Replace Tomoaki Kahyo with:
Tomoaki Kahyo Japan
Vitaly Balan United States
Helin Vakifahmetoglu-Norberg Sweden
Ju-Ming Wang Taiwan
Yang-ja Lee United States
Alison E. Ringel United States
Anja Jaeschke United States
Abhinav K. Jain United States
Valentina Sica France
Karen D. McCullough United States
Mandy Kwong relative to Tomoaki Kahyo Japan Tomoaki Kahyo's profile →
Citations per field
00.5×
Tomoaki Kahyo · 1×
Citations per year

Countries citing papers authored by Mandy Kwong

Since Specialization
Citations

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

Fields of papers citing papers by Mandy Kwong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000277
2 2003261
3 2004195
4 2011188
5 1999154
6 2020126
7 2003117
8 201491
9 200686
10 201364
11 201857
12 200141
13 201430
14 201614
15 201511
16 20257
17 20216
18 20194
19 20242
20 20142

About Mandy Kwong

Mandy Kwong is a scholar working on Molecular Biology, Geriatrics and Gerontology, Oncology, Radiology, Nuclear Medicine and Imaging and Immunology, having authored 22 papers that have together received 1.7k indexed citations. Recurring topics across this work include Genomics, phytochemicals, and oxidative stress (5 papers), Sirtuins and Resveratrol in Medicine (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), Glutathione Transferases and Polymorphisms (3 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Immune Cell Function and Interaction (2 papers) and PARP inhibition in cancer therapy (2 papers). The work is most often cited by research in Geriatrics and Gerontology (94 citations), Immunology (342 citations), Molecular Biology (1.0k citations), Neurology (111 citations) and Biological Psychiatry (30 citations). Mandy Kwong has collaborated with scholars based in United States, France and Malaysia. Frequent co-authors include Jefferson Chan, Laura Leung, Stephen Hou, Yuet Wai Kan, Kerstin Schmidt, Jefferson Y. Chan, Kol A. Zarember, Paul J. Godowski, Sanjeev Satyal and Fay Wang. Their work appears in journals such as PLoS ONE, Journal of Biological Chemistry, The Journal of Immunology, Nature Communications and Journal of Neuroscience.

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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