Norman H. Lam

568 total citations
11 papers, 258 citations indexed

About

Norman H. Lam is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Psychiatry and Mental health. According to data from OpenAlex, Norman H. Lam has authored 11 papers receiving a total of 258 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cognitive Neuroscience, 4 papers in Cellular and Molecular Neuroscience and 4 papers in Psychiatry and Mental health. Recurrent topics in Norman H. Lam's work include Neural dynamics and brain function (7 papers), Functional Brain Connectivity Studies (5 papers) and Schizophrenia research and treatment (4 papers). Norman H. Lam is often cited by papers focused on Neural dynamics and brain function (7 papers), Functional Brain Connectivity Studies (5 papers) and Schizophrenia research and treatment (4 papers). Norman H. Lam collaborates with scholars based in United States, Germany and Spain. Norman H. Lam's co-authors include John D. Murray, Michael M. Halassa, Arghya Mukherjee, Maxwell Shinn, Ralf Wimmer, Alan Anticevic, César Porrero, Antônio C. Roque, Jaime E. C. Hallak and John H. Krystal and has published in prestigious journals such as Nature, Nature Communications and Journal of Neuroscience.

In The Last Decade

Norman H. Lam

11 papers receiving 258 citations

Peers

Norman H. Lam

CN

CMN

ECP

PMH

RNMI

Avinash R. Vaidya United States

Arman Abrahamyan Australia

Alessandro Bongioanni United Kingdom

Aurelio Cortese Japan

Dominic Standage Canada

Michael D. Nunez United States

Stefan Appelhoff Germany

Kinjan Parikh United States

Adam N. Phillips Japan

M. Gabriela Costello United States

Avinash R. Vaidya United States

Norman H. Lam

330 ×1.7

CN

39 ×0.8

CMN

70 ×2.0

ECP

26 ×1.2

PMH

15 ×0.8

RNMI

Citations per year, relative to Norman H. Lam Norman H. Lam (= 1×) peers Avinash R. Vaidya

Countries citing papers authored by Norman H. Lam

Since Specialization

Citations

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

Fields of papers citing papers by Norman H. Lam

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Norman H. Lam

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

All Works

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11 of 11 papers shown

1.

Wang, Bin, Norman H. Lam, Shumei Li, et al.. (2025). Thalamic regulation of reinforcement learning strategies across prefrontal-striatal networks. Nature Communications. 16(1). 9095–9095. 1 indexed citations

2.

Huang, Anna, Ralf Wimmer, Norman H. Lam, et al.. (2025). 40. A Prefrontal Thalamocortical Readout for Conflict-Related Executive Dysfunction in Schizophrenia. Biological Psychiatry. 97(9). S91–S91. 1 indexed citations

3.

Huang, Anna, Ralf Wimmer, Norman H. Lam, et al.. (2024). A prefrontal thalamocortical readout for conflict-related executive dysfunction in schizophrenia. Cell Reports Medicine. 5(11). 101802–101802. 5 indexed citations

4.

Lam, Norman H., Arghya Mukherjee, Ralf Wimmer, et al.. (2024). Prefrontal transthalamic uncertainty processing drives flexible switching. Nature. 637(8044). 127–136. 6 indexed citations

5.

Nguyên, Văn Tuân, Alice Braun, Julia Kraft, et al.. (2021). Increasing sample diversity in psychiatric genetics – Introducing a new cohort of patients with schizophrenia and controls from Vietnam – Results from a pilot study. The World Journal of Biological Psychiatry. 23(3). 219–227. 2 indexed citations

6.

Lam, Norman H., Jaime E. C. Hallak, Antônio C. Roque, et al.. (2021). Effects of Altered Excitation-Inhibition Balance on Decision Making in a Cortical Circuit Model. Journal of Neuroscience. 42(6). 1035–1053. 50 indexed citations

7.

Mukherjee, Arghya, Norman H. Lam, Ralf Wimmer, & Michael M. Halassa. (2021). Thalamic circuits for independent control of prefrontal signal and noise. Nature. 600(7887). 100–104. 65 indexed citations

8.

Cavanagh, Sean E., Norman H. Lam, John D. Murray, Laurence T. Hunt, & Steven W. Kennerley. (2020). A circuit mechanism for decision-making biases and NMDA receptor hypofunction. eLife. 9. 17 indexed citations

9.

Shinn, Maxwell, Norman H. Lam, & John D. Murray. (2020). A flexible framework for simulating and fitting generalized drift-diffusion models. eLife. 9. 67 indexed citations

10.

Mukherjee, Arghya, et al.. (2020). Variation of connectivity across exemplar sensory and associative thalamocortical loops in the mouse. eLife. 9. 35 indexed citations

11.

Cho, Youngsun, Norman H. Lam, Aleksandar Savić, et al.. (2018). Effects of reward on spatial working memory in schizophrenia.. Journal of Abnormal Psychology. 127(7). 695–709. 9 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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