Nora Lam

964 total citations · 1 hit paper
8 papers, 333 citations indexed

About

Nora Lam is a scholar working on Immunology, Molecular Biology and Infectious Diseases. According to data from OpenAlex, Nora Lam has authored 8 papers receiving a total of 333 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Immunology, 2 papers in Molecular Biology and 1 paper in Infectious Diseases. Recurrent topics in Nora Lam's work include Immune Cell Function and Interaction (5 papers), T-cell and B-cell Immunology (4 papers) and Immunotherapy and Immune Responses (2 papers). Nora Lam is often cited by papers focused on Immune Cell Function and Interaction (5 papers), T-cell and B-cell Immunology (4 papers) and Immunotherapy and Immune Responses (2 papers). Nora Lam collaborates with scholars based in United States, Israel and Germany. Nora Lam's 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, Wenzhao Meng, Masaru Kubota and Steven B. Wells and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Medicine and Immunity.

In The Last Decade

Nora Lam

8 papers receiving 329 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A guide to adaptive immune memory

2024 74 citations Nora Lam, Yoon Seung Lee et al. Nature reviews. Immunology profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Nora Lam United States	7	158	76	49	31	23	8	333
Elaine C. Oliveira Brazil	11	221 1.4×	58 0.8×	79 1.6×	6 0.2×	27 1.2×	22	429
Payal Mital United States	8	131 0.8×	145 1.9×	23 0.5×	24 0.8×	12 0.5×	8	529
Kateřina Kondělková Czechia	6	183 1.2×	47 0.6×	68 1.4×	6 0.2×	23 1.0×	13	320
Jiali Fang China	8	102 0.6×	82 1.1×	52 1.1×	6 0.2×	66 2.9×	14	302
Hilary Marshall United Kingdom	9	85 0.5×	48 0.6×	24 0.5×	8 0.3×	13 0.6×	20	268
Anyu Bao China	13	48 0.3×	117 1.5×	34 0.7×	8 0.3×	34 1.5×	24	349
G. Roesems United Kingdom	7	175 1.1×	44 0.6×	70 1.4×	15 0.5×	24 1.0×	8	329
Aaron I. Weiner United States	11	102 0.6×	218 2.9×	29 0.6×	10 0.3×	49 2.1×	16	557
Yanling Liang China	11	129 0.8×	89 1.2×	75 1.5×	3 0.1×	34 1.5×	29	323
Luís Fernando Bouzas Brazil	8	150 0.9×	84 1.1×	30 0.6×	3 0.1×	30 1.3×	21	355

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-authorship network of co-authors of Nora Lam

This figure shows the co-authorship network connecting the top 25 collaborators of Nora Lam. A scholar is included among the top collaborators of Nora 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 Nora Lam. Nora Lam is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Lam, Nora, Bruce A. Buchholz, Yoon Seung Lee, et al.. (2025). Asynchronous aging and turnover of human circulating and tissue-resident memory T cells across sites. Immunity. 58(9). 2271–2288.e6. 1 indexed citations

2.

Lam, Nora, Yoon Seung Lee, & Donna L. Färber. (2024). A guide to adaptive immune memory. Nature reviews. Immunology. 24(11). 810–829. 74 indexed citations breakdown →

3.

Poon, Maya M.L., Daniel P. Caron, Zicheng Wang, et al.. (2023). Tissue adaptation and clonal segregation of human memory T cells in barrier sites. Nature Immunology. 24(2). 309–319. 80 indexed citations

4.

Ural, Basak B., Daniel P. Caron, Pranay Dogra, et al.. (2022). Inhaled particulate accumulation with age impairs immune function and architecture in human lung lymph nodes. Nature Medicine. 28(12). 2622–2632. 54 indexed citations

5.

Brandt, Margot, Sarah Kim-Hellmuth, Marcello Ziosi, et al.. (2021). An autoimmune disease risk variant: A trans master regulatory effect mediated by IRF1 under immune stimulation?. PLoS Genetics. 17(7). e1009684–e1009684. 17 indexed citations

6.

Miron, Michelle, Wenzhao Meng, Aaron M. Rosenfeld, et al.. (2021). Maintenance of the human memory T cell repertoire by subset and tissue site. Genome Medicine. 13(1). 100–100. 38 indexed citations

7.

Fang, Fengqin, Wenqiang Cao, Nora Lam, et al.. (2021). The cell-surface 5′-nucleotidase CD73 defines a functional T memory cell subset that declines with age. Cell Reports. 37(6). 109981–109981. 28 indexed citations

8.

Rosenbloom, Alyssa, et al.. (2020). β-Catenin signaling dynamics regulate cell fate in differentiating neural stem cells. Proceedings of the National Academy of Sciences. 117(46). 28828–28837. 41 indexed citations

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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