Can G. Pham
Impact in
- Cancer Research top 2%
- NF-κB Signaling Pathways
- Immunology and Allergy top 5%
- Cell Adhesion Molecules Research
Papers in
-
- NF-κB Signaling Pathways 10
- Cancer Genomics and Diagnostics 2
-
- Cell Adhesion Molecules Research 4
- Co-authors
- Francesca ZazzeroniConcetta BubiciSalvatore PapaGuido FranzosoEnrico De SmaeleRobert S. RossFrank M. TortiJoseph C. Loftus
- Journals
- Cell Death and Differentiation (2 papers)Clinical Cancer Research (1 paper)Circulation Research (1 paper)Journal of Clinical Investigation (1 paper)Cell (1 paper)
- Partner nations
- United StatesItalySwitzerland
In The Last Decade
Can G. Pham
19 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 110
- Cancer Research 710
- Immunology and Allergy 203
- Molecular Biology 1.4k
- Immunology 438
- Hematology 179
Countries citing papers authored by Can G. Pham
This map shows the geographic impact of Can G. Pham'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 Can G. Pham with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Can G. Pham more than expected).
Fields of papers citing papers by Can G. Pham
This network shows the impact of papers produced by Can G. Pham. 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 Can G. Pham. The network helps show where Can G. Pham may publish in the future.
Co-authors
The 25 scholars most cited alongside Can G. Pham, 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 | 2016 | 77 | |
| 2 | 2014 | 156 | |
| 3 | 2014 | 30 | |
| 4 | 2013 | 1 | |
| 5 | 2007 | 5 | |
| 6 | 2007 | 123 | |
| 7 | 2006 | 200 | |
| 8 | 2006 | 150 | |
| 9 | 2005 | 4 | |
| 10 | 2005 | 17 | |
| 11 | 2005 | 21 | |
| 12 | Ferritin Heavy Chain Upregulation by NF-κB Inhibits TNFα-Induced Apoptosis by Suppressing Reactive Oxygen Species Hit paper breakdown → | 2004 | 573 |
| 13 | 2004 | 283 | |
| 14 | 2004 | 89 | |
| 15 | 2004 | 241 | |
| 16 | 2002 | 67 | |
| 17 | 2001 | 80 | |
| 18 | 2000 | 106 | |
| 19 | 1998 | 154 |
About Can G. Pham
Can G. Pham is a scholar working on Cancer Research, Immunology and Allergy, Cell Biology, Immunology and Molecular Biology, having authored 19 papers that have together received 2.4k indexed citations. Recurring topics across this work include NF-κB Signaling Pathways (10 papers), Immune Response and Inflammation (5 papers), Cell Adhesion Molecules Research (4 papers), Cellular Mechanics and Interactions (4 papers), Renal cell carcinoma treatment (3 papers), interferon and immune responses (2 papers), Cancer Genomics and Diagnostics (2 papers) and Melanoma and MAPK Pathways (2 papers). The work is most often cited by research in Cancer Research (710 citations), Immunology and Allergy (203 citations), Molecular Biology (1.4k citations), Immunology (438 citations) and Hematology (179 citations). Can G. Pham has collaborated with scholars based in United States, Italy and Switzerland. Frequent co-authors include Francesca Zazzeroni, Concetta Bubici, Salvatore Papa, Guido Franzoso, Enrico De Smaele, Robert S. Ross, Frank M. Torti, Joseph C. Loftus, Carole Beaumont and Rong Cong. Their work appears in journals such as Cell Death and Differentiation, Clinical Cancer Research, Circulation Research, Journal of Clinical Investigation and Cell.
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.