Eric Tam
Impact in
- Microbiology top 10%
- Antimicrobial Peptides and Activities
- Otorhinolaryngology top 10%
Papers in
- Hematology 13
- Hematopoietic Stem Cell Transplantation 4
- Acute Myeloid Leukemia Research 4
- Chronic Myeloid Leukemia Treatments 3
- Oncology 10
- Polyomavirus and related diseases 2
- Co-authors
- Stéphane Poigny (4 shared papers)Hugues Bienaymé (4 shared papers)Jose Orsini (4 shared papers)Edwin Tamashiro (1 shared paper)Jennifer M. Kofonow (1 shared paper)Sri Kiran Chennupati (1 shared paper)Benjamin S. Bleier (1 shared paper)Philippe Schmitt (1 shared paper)
- Journals
- Blood (9 papers)Bioorganic & Medicinal Chemistry Letters (2 papers)Frontiers in Oncology (2 papers)British Journal of Haematology (1 paper)Japanese Journal of Clinical Oncology (1 paper)
- Partner nations
- United StatesFranceGermany
In The Last Decade
Eric Tam
35 papers receiving 340 citations
Peers
Comparison fields: 5 of 70
- Microbiology 46
- Otorhinolaryngology 25
- Toxicology 12
- Organic Chemistry 97
- Endocrinology 15
Countries citing papers authored by Eric Tam
This map shows the geographic impact of Eric Tam'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 Eric Tam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Tam more than expected).
Fields of papers citing papers by Eric Tam
This network shows the impact of papers produced by Eric Tam. 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 Eric Tam. The network helps show where Eric Tam may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric Tam, 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 78 | |
| 2 | 2006 | 55 | |
| 3 | 2018 | 27 | |
| 4 | 2014 | 24 | |
| 5 | 2006 | 24 | |
| 6 | 2015 | 20 | |
| 7 | 2016 | 19 | |
| 8 | 2006 | 15 | |
| 9 | 2019 | 11 | |
| 10 | 2016 | 9 | |
| 11 | 2022 | 8 | |
| 12 | 2019 | 5 | |
| 13 | 2019 | 5 | |
| 14 | 2022 | 5 | |
| 15 | 2023 | 5 | |
| 16 | 2019 | 4 | |
| 17 | 2024 | 4 | |
| 18 | 2020 | 3 | |
| 19 | 2019 | 3 | |
| 20 | 2004 | 3 |
About Eric Tam
Eric Tam is a scholar working on Hematology, Oncology, Public Health, Environmental and Occupational Health, Organic Chemistry and Molecular Biology, having authored 40 papers that have together received 349 indexed citations. Recurring topics across this work include Acute Lymphoblastic Leukemia research (7 papers), Hematopoietic Stem Cell Transplantation (4 papers), Acute Myeloid Leukemia Research (4 papers), Chronic Myeloid Leukemia Treatments (3 papers), Polyomavirus and related diseases (2 papers), Forensic Toxicology and Drug Analysis (2 papers), Asymmetric Hydrogenation and Catalysis (2 papers) and Cannabis and Cannabinoid Research (2 papers). The work is most often cited by research in Microbiology (46 citations), Otorhinolaryngology (25 citations), Toxicology (12 citations), Organic Chemistry (97 citations) and Endocrinology (15 citations). Eric Tam has collaborated with scholars based in United States, France and Germany. Frequent co-authors include Stéphane Poigny, Hugues Bienaymé, Jose Orsini, Edwin Tamashiro, Jennifer M. Kofonow, Sri Kiran Chennupati, Benjamin S. Bleier, Philippe Schmitt, Noam A. Cohen and Caroline A. Banks. Their work appears in journals such as Blood, Bioorganic & Medicinal Chemistry Letters, Frontiers in Oncology, British Journal of Haematology and Japanese Journal of Clinical Oncology.
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.