Pui‐Ying Lam

1.5k citations
28 papers · 1.1k · h-index 17

Impact in

Papers in

Pui‐Ying Lam

26 papers receiving 1.1k citations

Peers

Pui‐Ying Lam
Comparison fields: 5 of 100
  • Cell Biology 397
  • Immunology and Allergy 103
  • Immunology 291
  • Molecular Biology 506
  • Neurology 56
Replace Silvia Curado with:
Silvia Curado United States
Russell E. McConnell United States
Céline Revenu France
Jeremy D. Rotty United States
Loïc Sauteur Switzerland
Norihiko Ohbayashi Japan
Louis Dye United States
Barbara Borgonovo Italy
Tamako Nishimura Japan
Michael A. Wride Ireland
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Citations per field
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Citations per year

Countries citing papers authored by Pui‐Ying Lam

Since Specialization
Citations

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

Fields of papers citing papers by Pui‐Ying Lam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pui‐Ying 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 Pui‐Ying Lam. The network helps show where Pui‐Ying Lam may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008153
2 2010124
3 2014116
4 201791
5 201570
6 201265
7 201961
8 201957
9 201857
10 201545
11 201245
12 202039
13 201330
14 201329
15 202025
16 201422
17 202017
18 201716
19 202013
20 202213

About Pui‐Ying Lam

Pui‐Ying Lam is a scholar working on Immunology and Allergy, Cell Biology, Immunology, Cellular and Molecular Neuroscience and Molecular Biology, having authored 28 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (7 papers), Zebrafish Biomedical Research Applications (7 papers), Cellular Mechanics and Interactions (4 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (4 papers), Genetic and Kidney Cyst Diseases (3 papers), Renal and related cancers (3 papers), Immune Response and Inflammation (3 papers) and Photoreceptor and optogenetics research (3 papers). The work is most often cited by research in Cell Biology (397 citations), Immunology and Allergy (103 citations), Immunology (291 citations), Molecular Biology (506 citations) and Neurology (56 citations). Pui‐Ying Lam has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Anna Huttenlocher, Francisco Barros-Becker, Randall Theodore Peterson, Steve Mangos, Iain A. S. Drummond, Sudha Puttur Mudumana, Aleksandr Vasilyev, Sébastien Tauzin, Robert J. Fisher and Taylor W. Starnes. Their work appears in journals such as Journal of Cell Science, Scientific Reports, Disease Models & Mechanisms, PLoS ONE and Journal of the American Chemical Society.

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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