Lian Lam

784 citations
18 papers · 546 · h-index 13

Impact in

    • Viral Infections and Vectors
    • COVID-19 Clinical Research Studies
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction

Papers in

    • HER2/EGFR in Cancer Research 5
    • CAR-T cell therapy research 2
    • Viral Infections and Vectors 5
    • Viral Infections and Outbreaks Research 2

Lian Lam

18 papers receiving 543 citations

Peers

Lian Lam
Comparison fields: 5 of 84
  • Infectious Diseases 131
  • Immunology 147
  • Oncology 106
  • Public Health, Environmental and Occupational Health 98
  • Physiology 70
Replace Alina Lelic with:
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Lukas Heger Germany
Karl R. VanDerMeid United States
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Ryosuke Fukuda Japan
Y Kusumoto Japan
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Citations per field
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Alina Lelic · 1×
Citations per year

Countries citing papers authored by Lian Lam

Since Specialization
Citations

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

Fields of papers citing papers by Lian Lam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Lian 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 Lian Lam Line = papers co-authored together Lian Lam links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 2021148
2 201258
3 201653
4 202144
5 201643
6 201942
7 201529
8 201824
9 201720
10 201816
11 201915
12 202413
13 201313
14 201711
15 20247
16 20214
17 20223
18 20243

About Lian Lam

Lian Lam is a scholar working on Oncology, Infectious Diseases, Immunology, Public Health, Environmental and Occupational Health and Radiology, Nuclear Medicine and Imaging, having authored 18 papers that have together received 546 indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (5 papers), Viral Infections and Vectors (5 papers), HER2/EGFR in Cancer Research (5 papers), Erythrocyte Function and Pathophysiology (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Glycosylation and Glycoproteins Research (3 papers), CAR-T cell therapy research (2 papers) and Viral Infections and Outbreaks Research (2 papers). The work is most often cited by research in Infectious Diseases (131 citations), Immunology (147 citations), Oncology (106 citations), Public Health, Environmental and Occupational Health (98 citations) and Physiology (70 citations). Lian Lam has collaborated with scholars based in United States, Netherlands and China. Frequent co-authors include William B. Klimstra, Kate D. Ryman, Hongtao Zhang, Alan M. Watson, Julia Tchou, Nilam S. Mangalmurti, Christina L. Gardner, Nuala J. Meyer, Nicholas P. McAndrew and Ting Fu. Their work appears in journals such as Journal of Clinical Investigation, PLoS ONE, Antibodies, Biochimica et Biophysica Acta (BBA) - Reviews on Cancer and American Journal of Physiology-Lung Cellular and Molecular Physiology.

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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