Victor L. Lam

3.6k total citations · 1 hit paper
8 papers, 1.0k citations indexed

About

Victor L. Lam is a scholar working on Molecular Biology, Infectious Diseases and Immunology. According to data from OpenAlex, Victor L. Lam has authored 8 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 2 papers in Infectious Diseases and 2 papers in Immunology. Recurrent topics in Victor L. Lam's work include RNA Research and Splicing (2 papers), interferon and immune responses (1 paper) and HIV Research and Treatment (1 paper). Victor L. Lam is often cited by papers focused on RNA Research and Splicing (2 papers), interferon and immune responses (1 paper) and HIV Research and Treatment (1 paper). Victor L. Lam collaborates with scholars based in United States, Canada and Switzerland. Victor L. Lam's co-authors include Kevin P. Rioux, Jennifer Bailey, Norman M. Ratcliffe, Steve Smith, Robert P. Myers, Maitreyi Raman, Iftikhar Ahmed, Masoumeh Sikaroodi, Rosemary Greenwood and Patrick M. Gillevet and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Genes & Development and Frontiers in Immunology.

In The Last Decade

Victor L. Lam

8 papers receiving 1.0k citations

Hit Papers

Fecal Microbiome and Volatile Organic Compound Metabolome... 2013 2026 2017 2021 2013 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Victor L. Lam United States 7 754 370 266 218 100 8 1.0k
Sumeet Pandey United Kingdom 10 649 0.9× 201 0.5× 167 0.6× 346 1.6× 77 0.8× 11 1.1k
Sina M. Coldewey Germany 19 372 0.5× 229 0.6× 94 0.4× 213 1.0× 130 1.3× 57 1.0k
Natalia Smirnova France 15 647 0.9× 194 0.5× 375 1.4× 173 0.8× 152 1.5× 22 1.1k
Masahiko Tameda Japan 17 752 1.0× 305 0.8× 263 1.0× 147 0.7× 155 1.6× 30 1.3k
Yunhuan Gao China 17 871 1.2× 153 0.4× 193 0.7× 314 1.4× 106 1.1× 34 1.4k
Andrea A. Hill United States 8 272 0.4× 219 0.6× 184 0.7× 276 1.3× 74 0.7× 10 701
Vânia Sammartino Mariano Brazil 16 495 0.7× 184 0.5× 139 0.5× 174 0.8× 103 1.0× 24 906
Rachel M. Golonka United States 15 504 0.7× 108 0.3× 157 0.6× 136 0.6× 65 0.7× 33 905
Brandyn D. Henriksbo Canada 14 484 0.6× 210 0.6× 267 1.0× 172 0.8× 152 1.5× 18 822
Marcel Sorribas Switzerland 5 439 0.6× 436 1.2× 212 0.8× 71 0.3× 127 1.3× 5 835

Countries citing papers authored by Victor L. Lam

Since Specialization
Citations

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

Fields of papers citing papers by Victor L. Lam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Victor L. Lam

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

All Works

8 of 8 papers shown
1.
Lam, Victor L., et al.. (2025). Lassa virus protein–protein interactions as mediators of Lassa fever pathogenesis. Virology Journal. 22(1). 52–52. 1 indexed citations
2.
Boehm, Daniela, Victor L. Lam, Martina Schnölzer, & Mélanie Ott. (2023). The lysine methyltransferase SMYD5 amplifies HIV-1 transcription and is post-transcriptionally upregulated by Tat and USP11. Cell Reports. 42(3). 112234–112234. 9 indexed citations
3.
Yang, Kun, Matthew T. Holt, Min Fan, et al.. (2022). Cardiovascular Dysfunction in COVID-19: Association Between Endothelial Cell Injury and Lactate. Frontiers in Immunology. 13. 868679–868679. 14 indexed citations
4.
Walter, Marius, Irene P. Chen, Albert Vallejo-Gracia, et al.. (2022). SIRT5 is a proviral factor that interacts with SARS-CoV-2 Nsp14 protein. PLoS Pathogens. 18(9). e1010811–e1010811. 29 indexed citations
5.
Burke, James M., et al.. (2020). DUSP11-mediated control of 5′-triphosphate RNA regulates RIG-I sensitivity. Genes & Development. 34(23-24). 1697–1712. 17 indexed citations
6.
Kincaid, Rodney P., Victor L. Lam, Rachel Chirayil, Glenn Randall, & Christopher S. Sullivan. (2018). RNA triphosphatase DUSP11 enables exonuclease XRN-mediated restriction of hepatitis C virus. Proceedings of the National Academy of Sciences. 115(32). 8197–8202. 30 indexed citations
7.
Raman, Maitreyi, Iftikhar Ahmed, Patrick M. Gillevet, et al.. (2013). Fecal Microbiome and Volatile Organic Compound Metabolome in Obese Humans With Nonalcoholic Fatty Liver Disease. Clinical Gastroenterology and Hepatology. 11(7). 868–875.e3. 552 indexed citations breakdown →
8.
Hirota, Simon A., Maitham A. Khajah, Ken Kuljit S. Parhar, et al.. (2010). NLRP3 inflammasome plays a key role in the regulation of intestinal homeostasis. Inflammatory Bowel Diseases. 17(6). 1359–1372. 366 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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