Henry Lam
Impact in
- Spectroscopy top 0.2%
- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
- Molecular Biology top 2%
- Metabolomics and Mass Spectrometry Studies
- Genomics and Phylogenetic Studies
- Machine Learning in Bioinformatics
- Identification and Quantification in Food
- RNA and protein synthesis mechanisms
- Bioinformatics and Genomic Networks
Papers in
- Spectroscopy 56
- Advanced Proteomics Techniques and Applications 52
- Mass Spectrometry Techniques and Applications 39
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- Metabolomics and Mass Spectrometry Studies 31
- Identification and Quantification in Food 12
- Genomics and Phylogenetic Studies 8
- Machine Learning in Bioinformatics 7
- Co-authors
- Ruedi AebersoldEric W. DeutschJimmy K. EngJordy Evan SulaimanZhi SunLuis MendozaDavid ShteynbergNatalie Tasman
- Journals
- Journal of Proteome Research (20 papers)PROTEOMICS (10 papers)Scientific Reports (4 papers)Molecular & Cellular Proteomics (4 papers)Frontiers in Microbiology (4 papers)
- Partner nations
- Hong KongUnited StatesChina
In The Last Decade
Henry Lam
108 papers receiving 4.9k citations
Hit Papers
Peers
Comparison fields: 5 of 164
- Spectroscopy 2.5k
- Molecular Biology 3.5k
- Filtration and Separation 67
- Computer Science Applications 161
- Molecular Medicine 117
Countries citing papers authored by Henry Lam
This map shows the geographic impact of Henry 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 Henry Lam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Henry Lam more than expected).
Fields of papers citing papers by Henry Lam
This network shows the impact of papers produced by Henry 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 Henry Lam. The network helps show where Henry Lam may publish in the future.
Co-authors
The 25 scholars most cited alongside Henry Lam, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 20 | |
| 3 | 2023 | 4 | |
| 4 | 2023 | 7 | |
| 5 | 2022 | 1 | |
| 6 | 2022 | 17 | |
| 7 | 2022 | 3 | |
| 8 | 2022 | 1 | |
| 9 | 2022 | 4 | |
| 10 | 2022 | 12 | |
| 11 | 2021 | 18 | |
| 12 | 2021 | 4 | |
| 13 | 2021 | 64 | |
| 14 | 2019 | 10 | |
| 15 | 2016 | 11 | |
| 16 | 2012 | 12 | |
| 17 | 2012 | 2 | |
| 18 | iPRG 2011: A study on the identification of electron transfer dissociation (ETD) mass spectra | 2011 | 3 |
| 19 | 2009 | 15 | |
| 20 | 2003 | 43 |
About Henry Lam
Henry Lam is a scholar working on Spectroscopy, Molecular Biology, Molecular Medicine, Filtration and Separation and Clinical Biochemistry, having authored 112 papers that have together received 5.0k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (52 papers), Mass Spectrometry Techniques and Applications (39 papers), Metabolomics and Mass Spectrometry Studies (31 papers), Identification and Quantification in Food (12 papers), Genomics and Phylogenetic Studies (8 papers), Bacterial Genetics and Biotechnology (8 papers), Machine Learning in Bioinformatics (7 papers) and Evolution and Genetic Dynamics (6 papers). The work is most often cited by research in Spectroscopy (2.5k citations), Molecular Biology (3.5k citations), Filtration and Separation (67 citations), Computer Science Applications (161 citations) and Molecular Medicine (117 citations). Henry Lam has collaborated with scholars based in Hong Kong, United States and China. Frequent co-authors include Ruedi Aebersold, Eric W. Deutsch, Jimmy K. Eng, Jordy Evan Sulaiman, Zhi Sun, Luis Mendoza, David Shteynberg, Natalie Tasman, James S. Eddes and Stephen E. Stein. Their work appears in journals such as Journal of Proteome Research, PROTEOMICS, Scientific Reports, Molecular & Cellular Proteomics and Frontiers in Microbiology.
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.