Michael T. Lam

414 total citations
9 papers, 119 citations indexed

About

Michael T. Lam is a scholar working on Immunology, Molecular Biology and Genetics. According to data from OpenAlex, Michael T. Lam has authored 9 papers receiving a total of 119 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Immunology, 4 papers in Molecular Biology and 4 papers in Genetics. Recurrent topics in Michael T. Lam's work include Virus-based gene therapy research (4 papers), Immune Cell Function and Interaction (3 papers) and Viral Infectious Diseases and Gene Expression in Insects (2 papers). Michael T. Lam is often cited by papers focused on Virus-based gene therapy research (4 papers), Immune Cell Function and Interaction (3 papers) and Viral Infectious Diseases and Gene Expression in Insects (2 papers). Michael T. Lam collaborates with scholars based in United States, Italy and Germany. Michael T. Lam's co-authors include Junghae Suh, Robin Parihar, Caitlin M. Guenther, Julia Xiaojun Zhao, Michelle Ho, Banghe Zhu, Mavis Agbandje‐McKenna, Nilakshee Bhattacharya, Sunkuk Kwon and Eva M. Sevick‐Muraca and has published in prestigious journals such as Blood, Journal of Allergy and Clinical Immunology and Annals of the Rheumatic Diseases.

In The Last Decade

Michael T. Lam

9 papers receiving 119 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael T. Lam United States	5	55	46	31	29	20	9	119
Mercedes Alonso Spain	6	47 0.9×	44 1.0×	38 1.2×	17 0.6×	12 0.6×	10	144
Daniela Abriss Germany	8	93 1.7×	78 1.7×	33 1.1×	18 0.6×	15 0.8×	9	176
Joost van Haasteren Switzerland	5	233 4.2×	94 2.0×	24 0.8×	17 0.6×	10 0.5×	6	287
Ally Lau Singapore	6	233 4.2×	62 1.3×	47 1.5×	30 1.0×	5 0.3×	7	295
Jahan Rahman United States	6	164 3.0×	23 0.5×	89 2.9×	53 1.8×	30 1.5×	11	256
Marina Tusup Switzerland	8	148 2.7×	21 0.5×	39 1.3×	44 1.5×	5 0.3×	12	201
Yulia Rybakova Russia	4	142 2.6×	38 0.8×	32 1.0×	50 1.7×	5 0.3×	4	182
Kyle Potts Canada	5	42 0.8×	60 1.3×	48 1.5×	18 0.6×	6 0.3×	13	114
Franziska K. Geis United States	6	193 3.5×	70 1.5×	29 0.9×	52 1.8×	9 0.5×	7	268
Hualong Xiong China	7	69 1.3×	13 0.3×	14 0.5×	40 1.4×	8 0.4×	11	169

Countries citing papers authored by Michael T. Lam

Since Specialization

Citations

This map shows the geographic impact of Michael T. 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 Michael T. Lam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael T. Lam more than expected).

Fields of papers citing papers by Michael T. Lam

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael T. Lam

This figure shows the co-authorship network connecting the top 25 collaborators of Michael T. Lam. A scholar is included among the top collaborators of Michael T. 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 Michael T. Lam. Michael T. 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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9 of 9 papers shown

Lam, Michael T., Connie Jiang, & Pui Y. Lee. (2025). T-ing up the storm: pathogenic cycling lymphocytes in the biology of macrophage activation syndrome. Pediatric Rheumatology. 23(1). 29–29. 1 indexed citations

Liu, Meng, Jacob R. Bledsoe, Christopher M. Harris, et al.. (2024). Features of hyperinflammation link the biology of Epstein-Barr virus infection and cytokine storm syndromes. Journal of Allergy and Clinical Immunology. 155(4). 1346–1356.e9. 6 indexed citations

Lam, Michael T., et al.. (2020). Display of Self-Peptide on Adeno-Associated Virus Capsid Decreases Phagocytic Uptake in Vitro. ACS Synthetic Biology. 9(9). 2246–2251. 5 indexed citations

Lam, Michael T., Emily M. Mace, & Jordan S. Orange. (2020). A research-driven approach to the identification of novel natural killer cell deficiencies affecting cytotoxic function. Blood. 135(9). 629–637. 3 indexed citations

Lam, Michael T., et al.. (2020). Design and Implementation of NK Cell-Based Immunotherapy to Overcome the Solid Tumor Microenvironment. Cancers. 12(12). 3871–3871. 27 indexed citations

Guenther, Caitlin M., Antonette Bennett, Michelle Ho, et al.. (2019). Protease-Activatable Adeno-Associated Virus Vector for Gene Delivery to Damaged Heart Tissue. Molecular Therapy. 27(3). 611–622. 35 indexed citations

Lam, Michael T., Simona Coppola, Oliver H.F. Krumbach, et al.. (2019). FRI0540 A NOVEL AUTOINFLAMMATORY DISEASE CHARACTERIZED BY NEONATAL-ONSET CYTOPENIA WITH AUTOINFLAMMATION, RASH, AND HEMOPHAGOCYTOSIS (NOCARH) DUE TO ABERRANT CDC42 FUNCTION. Annals of the Rheumatic Diseases. 78. 964–964. 1 indexed citations

Ho, Michelle, et al.. (2015). Effective Gene Delivery to Valvular Interstitial Cells Using Adeno-Associated Virus Serotypes 2 and 3. Tissue Engineering Part C Methods. 21(8). 808–815. 4 indexed citations

Guenther, Caitlin M., et al.. (2014). Synthetic virology: engineering viruses for gene delivery. Wiley Interdisciplinary Reviews Nanomedicine and Nanobiotechnology. 6(6). 548–558. 37 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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