Hà Phạm
Impact in
- Infectious Diseases top 5%
- Tuberculosis Research and Epidemiology
- Molecular Medicine top 5%
Papers in
-
- Glycosylation and Glycoproteins Research 5
- Biochemical and Molecular Research 5
- Receptor Mechanisms and Signaling 2
-
- Carbohydrate Chemistry and Synthesis 7
- Co-authors
- Raman Bahal (1 shared paper)Karishma Dhuri (1 shared paper)Elias Quijano (1 shared paper)Anisha Gupta (1 shared paper)Mary Jackson (11 shared papers)Ajit Vikram (1 shared paper)Richard Moriggl (4 shared papers)Anne J. Lenaerts (2 shared papers)
- Journals
- Journal of Biological Chemistry (5 papers)PLoS ONE (2 papers)ACS Chemical Biology (1 paper)Journal of Lipid Research (1 paper)Case Studies in Chemical and Environmental Engineering (1 paper)
- Partner nations
- United StatesFranceAustria
In The Last Decade
Hà Phạm
37 papers receiving 1.6k citations
Hà Phạm's Hit Papers
Peers
Comparison fields: 5 of 98
- Infectious Diseases 432
- Molecular Medicine 90
- Molecular Biology 935
- Epidemiology 374
- Cancer Research 157
Countries citing papers authored by Hà Phạm
This map shows the geographic impact of Hà Phạm'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 Hà Phạm with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hà Phạm more than expected).
Fields of papers citing papers by Hà Phạm
This network shows the impact of papers produced by Hà Phạm. 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 Hà Phạm. The network helps show where Hà Phạm may publish in the future.
Co-authors
The 25 scholars most cited alongside Hà Phạm, 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 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Antisense Oligonucleotides: An Emerging Area in Drug Discovery and Development Hit paper breakdown → | 2020 | 392 |
| 2 | 2012 | 374 | |
| 3 | 2016 | 182 | |
| 4 | 2013 | 73 | |
| 5 | 2008 | 72 | |
| 6 | 2011 | 67 | |
| 7 | 2017 | 52 | |
| 8 | 1996 | 44 | |
| 9 | 2010 | 40 | |
| 10 | 2012 | 31 | |
| 11 | 2009 | 29 | |
| 12 | 1998 | 27 | |
| 13 | 2012 | 26 | |
| 14 | 2017 | 24 | |
| 15 | 2009 | 23 | |
| 16 | 2017 | 22 | |
| 17 | 2012 | 19 | |
| 18 | 2015 | 16 | |
| 19 | 2020 | 13 | |
| 20 | 2014 | 13 |
About Hà Phạm
Hà Phạm is a scholar working on Molecular Biology, Organic Chemistry, Oncology, Infectious Diseases and Genetics, having authored 38 papers that have together received 1.7k indexed citations. Recurring topics across this work include Carbohydrate Chemistry and Synthesis (7 papers), Glycosylation and Glycoproteins Research (5 papers), Biochemical and Molecular Research (5 papers), Mycobacterium research and diagnosis (3 papers), Cytokine Signaling Pathways and Interactions (3 papers), Tuberculosis Research and Epidemiology (3 papers), Biotin and Related Studies (2 papers) and Receptor Mechanisms and Signaling (2 papers). The work is most often cited by research in Infectious Diseases (432 citations), Molecular Medicine (90 citations), Molecular Biology (935 citations), Epidemiology (374 citations) and Cancer Research (157 citations). Hà Phạm has collaborated with scholars based in United States, France and Austria. Frequent co-authors include Raman Bahal, Karishma Dhuri, Elias Quijano, Anisha Gupta, Mary Jackson, Ajit Vikram, Richard Moriggl, Anne J. Lenaerts, Jana Korduláková and Michael McNeil. Their work appears in journals such as Journal of Biological Chemistry, PLoS ONE, ACS Chemical Biology, Journal of Lipid Research and Case Studies in Chemical and Environmental Engineering.
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.