Nora Lam

1.0k citations
8 papers · 383 · 1 hit paper · h-index 7

Impact in

    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • IL-33, ST2, and ILC Pathways

Papers in

    • T-cell and B-cell Immunology 4
    • Immune Cell Function and Interaction 4
    • Immunotherapy and Immune Responses 1

Nora Lam

8 papers receiving 379 citations

Nora Lam's Hit Papers

A guide to adaptive immune memory 2024 · 98 citations
980+1Years since publication255075

Peers

Nora Lam
Comparison fields: 5 of 71
  • Immunology 162
  • Biological Psychiatry 7
  • Physiology 14
  • Neurology 23
  • Developmental Neuroscience 10
Replace Anjali Crawshaw with:
Anjali Crawshaw United Kingdom
Alice Coillard France
Elaine C. Oliveira Brazil
Fei Fei Gao China
Wen Shi China
Jonathan Cremer Belgium
Hongyan Deng China
Lan Kang China
Yuchun Cao China
Niannian Ji United States
Nora Lam relative to Anjali Crawshaw United Kingdom Anjali Crawshaw's profile →
Citations per field
00.5×6.4×
Anjali Crawshaw · 1×
Citations per year

Countries citing papers authored by Nora Lam

Since Specialization
Citations

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

Fields of papers citing papers by Nora Lam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1
A guide to adaptive immune memory
Hit paper breakdown →
202498
2 202388
3 202262
4 202043
5 202141
6 202129
7 202119
8 20253

About Nora Lam

Nora Lam is a scholar working on Immunology, Molecular Biology, Infectious Diseases, Cellular and Molecular Neuroscience and Pulmonary and Respiratory Medicine, having authored 8 papers that have together received 383 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (4 papers), Immune Cell Function and Interaction (4 papers), SARS-CoV-2 and COVID-19 Research (1 paper), Neurogenesis and neuroplasticity mechanisms (1 paper), Immunotherapy and Immune Responses (1 paper), Adenosine and Purinergic Signaling (1 paper), Noise Effects and Management (1 paper) and Axon Guidance and Neuronal Signaling (1 paper). The work is most often cited by research in Immunology (162 citations), Biological Psychiatry (7 citations), Physiology (14 citations), Neurology (23 citations) and Developmental Neuroscience (10 citations). Nora Lam has collaborated with scholars based in United States, Germany and China. Frequent co-authors include Donna L. Färber, Yoon Seung Lee, Maya M.L. Poon, Eline T. Luning Prak, Rei Matsumoto, Masaru Kubota, Peter A. Szabo, Steven B. Wells, Wenzhao Meng and Daniel P. Caron. Their work appears in journals such as Nature Medicine, Cell Reports, Nature Immunology, Proceedings of the National Academy of Sciences and Nature reviews. Immunology.

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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