Pui Yeng Lam

1.4k citations
17 papers · 618 indexed · 1 hit paper · h-index 11
Topics
Immune Cell Function and Interaction (10 papers)Single-cell and spatial transcriptomics (5 papers)CAR-T cell therapy research (5 papers)

In The Last Decade

Pui Yeng Lam

17 papers receiving 614 citations

Hit Papers

Robust mapping of spatiotemporal trajectories and cell–ce...2023202620242025202350100150

Peers

Pui Yeng Lam
Comparison fields: 5 of 78
  • Molecular Biology 285
  • Immunology 270
  • Oncology 124
  • Cancer Research 120
  • Rheumatology 39
Replace Mahmoud M. Ibrahim with:
Mahmoud M. Ibrahim Germany
Daniel Dimitrov Germany
Sophia Müller‐Dott Germany
Esther Bandala‐Sanchez Australia
Michael Peled Israel
Rubén Barroso Spain
Taras Lyubchenko United States
Cameron G. Williams Australia
Jana M. Braunger Germany
Gregory C. Spies United States
Pui Yeng Lam relative to Mahmoud M. Ibrahim Germany Mahmoud M. Ibrahim's profile →
Citations per field
00.5×2.6×
Mahmoud M. Ibrahim · 1×
Citations per year

Countries citing papers authored by Pui Yeng Lam

Since Specialization
Citations

This map shows the geographic impact of Pui Yeng 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 Yeng 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 Yeng Lam more than expected).

Fields of papers citing papers by Pui Yeng Lam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pui Yeng Lam

This figure shows the co-authorship network connecting the top 25 collaborators of Pui Yeng Lam. A scholar is included among the top collaborators of Pui Yeng Lam based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Pui Yeng Lam. Pui Yeng Lam is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
#WorkIndexed citations
1 4
2 3
3 10
4 1
5 3
6
Robust mapping of spatiotemporal trajectories and cell–cell interactions in healthy and diseased tissuesbreakdown →
177
7 3
8 18
9 9
10 113
11 11
12 16
13 53
14 15
15 23
16 126
17 33

About Pui Yeng Lam

Pui Yeng Lam is a scholar working on Immunology, Cancer Research and Oncology, having authored 17 papers that have together received 618 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (10 papers), Single-cell and spatial transcriptomics (5 papers) and CAR-T cell therapy research (5 papers). The work is most often cited by research in Immunology (270 citations), Cancer Research (120 citations) and Biophysics (27 citations). Pui Yeng Lam has collaborated with scholars based in Australia, Germany and United Kingdom. Frequent co-authors include Stephen R. Mattarollo, John A. Hamilton, Sohye Yoon, Arti M. Raghubar, Quan Nguyen, Duy Pham, Xiao Tan, Laura F. Grice, Priyakshi Kalita‐de Croft and Emily F. Willis. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Nature Communications.

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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