John Lam
Impact in
Papers in
- Co-authors
- David T. Curiel (12 shared papers)Ronald D. Alvarez (9 shared papers)Akseli Hemminki (8 shared papers)Anna Kanerva (8 shared papers)Mack N. Barnes (7 shared papers)Gerd Bauerschmitz (6 shared papers)Victor Krasnykh (3 shared papers)Minghui Wang (5 shared papers)
- Journals
- Experimental and Molecular Pathology (5 papers)Molecular Therapy (2 papers)The Journal of Gene Medicine (2 papers)Cancer Gene Therapy (2 papers)Human Gene Therapy (1 paper)
- Partner nations
- United StatesFinlandJapan
In The Last Decade
John Lam
22 papers receiving 931 citations
Peers
Comparison fields: 5 of 49
- Genetics 808
- Oncology 582
- Biotechnology 159
- Molecular Biology 634
- Infectious Diseases 93
Countries citing papers authored by John Lam
This map shows the geographic impact of John 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 John Lam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Lam more than expected).
Fields of papers citing papers by John Lam
This network shows the impact of papers produced by John 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 John Lam. The network helps show where John Lam may publish in the future.
Co-authors
The 25 scholars most cited alongside John 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
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Targeting adenovirus to the serotype 3 receptor increases gene transfer efficiency to ovarian cancer cells. | 2002 | 208 |
| 2 | 2002 | 156 | |
| 3 | 2003 | 143 | |
| 4 | Treatment of ovarian cancer with a tropism modified oncolytic adenovirus. | 2002 | 130 |
| 5 | Substitution of the adenovirus serotype 5 knob with a serotype 3 knob enhances multiple steps in virus replication. | 2003 | 61 |
| 6 | 2001 | 44 | |
| 7 | 2005 | 35 | |
| 8 | 2004 | 34 | |
| 9 | 2004 | 32 | |
| 10 | 2003 | 23 | |
| 11 | 2003 | 14 | |
| 12 | 2007 | 13 | |
| 13 | 2006 | 13 | |
| 14 | 2005 | 12 | |
| 15 | 2020 | 12 | |
| 16 | 2004 | 6 | |
| 17 | 2020 | 4 | |
| 18 | 1975 | 4 | |
| 19 | 2007 | 2 | |
| 20 | 2019 | 1 |
About John Lam
John Lam is a scholar working on Oncology, Genetics, Molecular Biology, Pathology and Forensic Medicine and Infectious Diseases, having authored 24 papers that have together received 949 indexed citations. Recurring topics across this work include Virus-based gene therapy research (13 papers), CAR-T cell therapy research (9 papers), Viral Infectious Diseases and Gene Expression in Insects (7 papers), Lymphoma Diagnosis and Treatment (6 papers), Viral gastroenteritis research and epidemiology (3 papers), RNA Interference and Gene Delivery (3 papers), CNS Lymphoma Diagnosis and Treatment (3 papers) and Viral-associated cancers and disorders (2 papers). The work is most often cited by research in Genetics (808 citations), Oncology (582 citations), Biotechnology (159 citations), Molecular Biology (634 citations) and Infectious Diseases (93 citations). John Lam has collaborated with scholars based in United States, Finland and Japan. Frequent co-authors include David T. Curiel, Ronald D. Alvarez, Akseli Hemminki, Anna Kanerva, Mack N. Barnes, Gerd Bauerschmitz, Victor Krasnykh, Minghui Wang, Galina Mikheeva and Gene P. Siegal. Their work appears in journals such as Experimental and Molecular Pathology, Molecular Therapy, The Journal of Gene Medicine, Cancer Gene Therapy and Human Gene Therapy.
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.