Wai Ping Lam

446 citations
21 papers · 356 · h-index 10

Impact in

Papers in

Wai Ping Lam

20 papers receiving 348 citations

Peers

Wai Ping Lam
Comparison fields: 5 of 71
  • Biological Psychiatry 131
  • Developmental Neuroscience 69
  • Pharmacology 146
  • Behavioral Neuroscience 22
  • Cellular and Molecular Neuroscience 94
Replace Chaoli Huang with:
Chaoli Huang China
Zifeng Wu China
Julie Wieseler United States
Dmitry Frank Israel
Xian Huang China
Alexandrine Corriger France
Ruslan Kuts Israel
Nana Li China
Aicha Abdourahman United States
Erika L. Galer United States
Wai Ping Lam relative to Chaoli Huang China Chaoli Huang's profile →
Citations per field
00.5×10×20×29×
Chaoli Huang · 1×
Citations per year

Countries citing papers authored by Wai Ping Lam

Since Specialization
Citations

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

Fields of papers citing papers by Wai Ping Lam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wai Ping Lam. 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 Wai Ping Lam. The network helps show where Wai Ping Lam may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200960
2 201256
3 201053
4 200937
5 201322
6 201019
7 200818
8 200618
9 201013
10 20079
11 20119
12 20168
13 20148
14 20135
15 20125
16 20074
17 20074
18 20073
19 20073
20 20071

About Wai Ping Lam

Wai Ping Lam is a scholar working on Physiology, Pharmacology, Cellular and Molecular Neuroscience, Molecular Biology and Neurology, having authored 21 papers that have together received 356 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (5 papers), Neuroscience and Neuropharmacology Research (5 papers), Anesthesia and Neurotoxicity Research (4 papers), Treatment of Major Depression (4 papers), Urinary Bladder and Prostate Research (3 papers), Tryptophan and brain disorders (3 papers), Neurological Disease Mechanisms and Treatments (3 papers) and Pelvic floor disorders treatments (3 papers). The work is most often cited by research in Biological Psychiatry (131 citations), Developmental Neuroscience (69 citations), Pharmacology (146 citations), Behavioral Neuroscience (22 citations) and Cellular and Molecular Neuroscience (94 citations). Wai Ping Lam has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include David T. Yew, Y T Mak, John A. Rudd, Sijie Tan, Wan-hua Amy Yu, Lanhai Lü, Hong Tang, Ming Fan, Gang Lü and Zhen Li. Their work appears in journals such as Microscopy Research and Technique, Toxicology Letters, Biogerontology, Mini-Reviews in Medicinal Chemistry and PLoS ONE.

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.

Explore authors with similar magnitude of impact