Nora Lam

964 citations
8 papers · 333 · 1 hit paper · h-index 7

Impact in

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

Papers in

    • Immune Cell Function and Interaction 5
    • T-cell and B-cell Immunology 4
    • Immunotherapy and Immune Responses 2
    • Developmental Biology and Gene Regulation 1

Nora Lam

8 papers receiving 329 citations

Nora Lam's Hit Papers

A guide to adaptive immune memory 2024 · 74 citations
740+1Years since publication204060

Peers

Nora Lam
Comparison fields: 5 of 75
  • Immunology 158
  • Physiology 14
  • Developmental Neuroscience 12
  • Neurology 21
  • Biological Psychiatry 6
Replace Payal Mital with:
Payal Mital United States
Elaine C. Oliveira Brazil
Anjali Crawshaw United Kingdom
Hongyan Deng China
Yuchun Cao China
Erika Méndez-Enríquez Sweden
W. M. H. Debie Netherlands
Kateřina Kondělková Czechia
Noëlla Lopes France
Niannian Ji United States
Nora Lam relative to Payal Mital United States Payal Mital's profile →
Citations per field
00.5×
Payal Mital · 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 202380
2
A guide to adaptive immune memory
Hit paper breakdown →
202474
3 202254
4 202041
5 202138
6 202128
7 202117
8 20251

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 333 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (5 papers), T-cell and B-cell Immunology (4 papers), Immunotherapy and Immune Responses (2 papers), Developmental Biology and Gene Regulation (1 paper), Cytomegalovirus and herpesvirus research (1 paper), Neuroinflammation and Neurodegeneration Mechanisms (1 paper), SARS-CoV-2 and COVID-19 Research (1 paper) and Adenosine and Purinergic Signaling (1 paper). The work is most often cited by research in Immunology (158 citations), Physiology (14 citations), Developmental Neuroscience (12 citations), Neurology (21 citations) and Biological Psychiatry (6 citations). Nora Lam has collaborated with scholars based in United States, Israel and Germany. Frequent co-authors include Donna L. Färber, Yoon Seung Lee, Maya M.L. Poon, Rei Matsumoto, Daniel P. Caron, Peter A. Szabo, Eline T. Luning Prak, Steven B. Wells, Masaru Kubota and Wenzhao Meng. Their work appears in journals such as Nature Medicine, Nature reviews. Immunology, PLoS Genetics, Cell Reports and Immunity.

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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