Tam How
Impact in
- Immunology and Allergy top 5%
- Cell Adhesion Molecules Research
- Molecular Biology top 10%
- TGF-β signaling in diseases
- Kruppel-like factors research
- Receptor Mechanisms and Signaling
- Bone Metabolism and Diseases
- Metabolism, Diabetes, and Cancer
Papers in
-
- TGF-β signaling in diseases 14
- Metabolism, Diabetes, and Cancer 5
- Congenital heart defects research 2
- Oncology 5
- Pancreatic and Hepatic Oncology Research 3
- Cancer Cells and Metastasis 2
- Co-authors
- Gerard C. Blobe (17 shared papers)Kellye C. Kirkbride (3 shared papers)Nadine Hempel (4 shared papers)Mei Dong (4 shared papers)Timothy A. Fields (3 shared papers)Kelly J. Gordon (2 shared papers)Elizabeth Finger (2 shared papers)Ryan S. Turley (2 shared papers)
- Journals
- Carcinogenesis (6 papers)American Journal of Transplantation (3 papers)Molecular Biology of the Cell (3 papers)Journal of Biological Chemistry (2 papers)Cancer Research (2 papers)
- Partner nations
- United StatesCanadaChina
In The Last Decade
Tam How
24 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 89
- Immunology and Allergy 164
- Molecular Biology 1.2k
- Oncology 405
- Cell Biology 249
- Cancer Research 208
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-authors
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
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 218 | |
| 2 | 2006 | 211 | |
| 3 | 2001 | 172 | |
| 4 | 2007 | 148 | |
| 5 | 2008 | 105 | |
| 6 | 2008 | 104 | |
| 7 | 2008 | 101 | |
| 8 | 2007 | 99 | |
| 9 | 2013 | 79 | |
| 10 | 2009 | 58 | |
| 11 | 2007 | 51 | |
| 12 | 2014 | 51 | |
| 13 | 2009 | 49 | |
| 14 | 2008 | 44 | |
| 15 | 2000 | 40 | |
| 16 | 2014 | 40 | |
| 17 | 1999 | 32 | |
| 18 | 2011 | 27 | |
| 19 | 2014 | 21 | |
| 20 | 2019 | 15 |
About Tam How
Tam How is a scholar working on Molecular Biology, Oncology, Pathology and Forensic Medicine, Surgery and Cancer Research, having authored 24 papers that have together received 1.7k 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), T-cell and B-cell Immunology (2 papers), Congenital heart defects research (2 papers) and Cancer Cells and Metastasis (2 papers). The work is most often cited by research in Immunology and Allergy (164 citations), Molecular Biology (1.2k citations), Oncology (405 citations), Cell Biology (249 citations) and Cancer Research (208 citations). Tam How has collaborated with scholars based in United States, Canada and China. 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, American Journal of Transplantation, Molecular Biology of the Cell, 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.