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
- Protein Kinase Regulation and GTPase Signaling 2
-
- Carbohydrate Chemistry and Synthesis 7
- Co-authors
- Ajit Vikram (1 shared paper)Anisha Gupta (1 shared paper)Karishma Dhuri (1 shared paper)Elias Quijano (1 shared paper)Raman Bahal (1 shared paper)Mary Jackson (11 shared papers)Richard Moriggl (4 shared papers)Anne J. Lenaerts (2 shared papers)
- Journals
- Journal of Biological Chemistry (5 papers)PLoS ONE (2 papers)Case Studies in Chemical and Environmental Engineering (1 paper)Journal of Molecular Diagnostics (1 paper)Journal of Lipid Research (1 paper)
- Partner nations
- United StatesFranceAustria
In The Last Decade
Hà Phạm
36 papers receiving 1.5k citations
Hà Phạm's Hit Papers
Peers
Comparison fields: 5 of 94
- Infectious Diseases 404
- Molecular Medicine 82
- Molecular Biology 898
- Epidemiology 347
- Cancer Research 154
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 37 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 | 382 |
| 2 | 2012 | 360 | |
| 3 | 2016 | 178 | |
| 4 | 2008 | 67 | |
| 5 | 2013 | 67 | |
| 6 | 2011 | 65 | |
| 7 | 2017 | 50 | |
| 8 | 2010 | 36 | |
| 9 | 1996 | 33 | |
| 10 | 2012 | 30 | |
| 11 | 2009 | 28 | |
| 12 | 1998 | 25 | |
| 13 | 2017 | 24 | |
| 14 | 2012 | 23 | |
| 15 | 2017 | 20 | |
| 16 | 2009 | 19 | |
| 17 | 2012 | 19 | |
| 18 | 2015 | 15 | |
| 19 | 2014 | 13 | |
| 20 | 2022 | 12 |
About Hà Phạm
Hà Phạm is a scholar working on Molecular Biology, Organic Chemistry, Oncology, Infectious Diseases and Genetics, having authored 37 papers that have together received 1.6k 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), Receptor Mechanisms and Signaling (2 papers) and Protein Kinase Regulation and GTPase Signaling (2 papers). The work is most often cited by research in Infectious Diseases (404 citations), Molecular Medicine (82 citations), Molecular Biology (898 citations), Epidemiology (347 citations) and Cancer Research (154 citations). Hà Phạm has collaborated with scholars based in United States, France and Austria. Frequent co-authors include Ajit Vikram, Anisha Gupta, Karishma Dhuri, Elias Quijano, Raman Bahal, Mary Jackson, Richard Moriggl, Anne J. Lenaerts, Michael McNeil and Jana Korduláková. Their work appears in journals such as Journal of Biological Chemistry, PLoS ONE, Case Studies in Chemical and Environmental Engineering, Journal of Molecular Diagnostics and Journal of Lipid 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.