Tam How
- Immunology and Allergy top 5%
- Molecular Biology top 10%
- TGF-β signaling in diseases 14
- Metabolism, Diabetes, and Cancer 5
- Pharmacological Receptor Mechanisms and Effects 2
- Congenital heart defects research 2
- Oncology top 10%
- Pancreatic and Hepatic Oncology Research 3
- Cancer Research top 10%
- Cell Biology top 5%
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- Genetic factors in colorectal cancer 4
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- Renal Transplantation Outcomes and Treatments 2
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- Tissue Engineering and Regenerative Medicine 2
- Co-authors
- Gerard C. BlobeKellye C. KirkbrideNadine HempelMei DongTimothy A. FieldsKelly J. GordonElizabeth FingerRyan S. Turley
- Journals
- Carcinogenesis (6 papers)Molecular Biology of the Cell (3 papers)American Journal of Transplantation (3 papers)
- Partner nations
- United StatesCanadaSouth Korea
In The Last Decade
Tam How
24 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 91
- Immunology and Allergy 160
- Molecular Biology 1.2k
- Oncology 439
- Cancer Research 235
- Cell Biology 245
Countries citing papers authored by Tam How
This map shows the geographic impact of Tam How'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 Tam How with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tam How more than expected).
Fields of papers citing papers by Tam How
This network shows the impact of papers produced by Tam How. 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 Tam How. The network helps show where Tam How may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tam How, 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 | 2019 | 4 | |
| 2 | 2019 | 14 | |
| 3 | 2017 | 12 | |
| 4 | 2016 | 8 | |
| 5 | 2014 | 38 | |
| 6 | 2014 | 49 | |
| 7 | 2014 | 20 | |
| 8 | 2011 | 26 | |
| 9 | 2009 | 54 | |
| 10 | 2009 | 48 | |
| 11 | 2008 | 102 | |
| 12 | 2008 | 98 | |
| 13 | 2008 | 103 | |
| 14 | 2007 | 143 | |
| 15 | 2007 | 96 | |
| 16 | 2007 | 51 | |
| 17 | 2006 | 204 | |
| 18 | 2001 | 165 | |
| 19 | 2000 | 38 | |
| 20 | 1999 | 13 |
About Tam How
Tam How is a scholar working on Transplantation, Immunology and Allergy, Molecular Biology, Pathology and Forensic Medicine and Pharmacy, having authored 24 papers that have together received 1.6k indexed citations. Recurring topics across this work include TGF-β signaling in diseases (14 papers), Metabolism, Diabetes, and Cancer (5 papers), Genetic factors in colorectal cancer (4 papers), Pancreatic and Hepatic Oncology Research (3 papers), Renal Transplantation Outcomes and Treatments (2 papers), Tissue Engineering and Regenerative Medicine (2 papers), Pharmacological Receptor Mechanisms and Effects (2 papers) and Congenital heart defects research (2 papers). The work is most often cited by research in Immunology and Allergy (160 citations), Molecular Biology (1.2k citations), Oncology (439 citations), Cancer Research (235 citations) and Cell Biology (245 citations). Tam How has collaborated with scholars based in United States, Canada and South Korea. Frequent co-authors include Gerard C. Blobe, Kellye C. Kirkbride, Nadine Hempel, Mei Dong, Timothy A. Fields, Kelly J. Gordon, Elizabeth Finger, Ryan S. Turley, Donald T. Lysle and Nam Y. Lee. Their work appears in journals such as Carcinogenesis, Molecular Biology of the Cell, American Journal of Transplantation, Journal of Biological Chemistry and Cancer Research.
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.