Yen Pham
Impact in
- Electrochemistry top 5%
- Electrochemical Analysis and Applications
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- Neonatal and fetal brain pathology
Papers in
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- Neonatal and fetal brain pathology 16
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- Electrochemical Analysis and Applications 13
- Co-authors
- Amy E. Sutherland (27 shared papers)Graham Jenkin (24 shared papers)Stephanie Miller (25 shared papers)Tamir Miloh (2 shared papers)Courtney McDonald (19 shared papers)Michael Fahey (12 shared papers)Margie Castillo-Meléndez (12 shared papers)Ximing Du (1 shared paper)
- Journals
- The Journal of Physiology (3 papers)Frontiers in Physiology (3 papers)Pediatric Research (2 papers)Developmental Neuroscience (2 papers)Stem Cell Research & Therapy (2 papers)
- Partner nations
- AustraliaVietnamUnited States
In The Last Decade
Yen Pham
56 papers receiving 905 citations
Peers
Comparison fields: 5 of 99
- Electrochemistry 90
- Pediatrics, Perinatology and Child Health 233
- Genetics 97
- Transplantation 23
- Endocrine and Autonomic Systems 53
Countries citing papers authored by Yen Pham
This map shows the geographic impact of Yen 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 Yen Pham with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yen Pham more than expected).
Fields of papers citing papers by Yen Pham
This network shows the impact of papers produced by Yen 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 Yen Pham. The network helps show where Yen Pham may publish in the future.
Co-authors
The 25 scholars most cited alongside Yen 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
Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 71 | |
| 2 | 2015 | 59 | |
| 3 | 2004 | 56 | |
| 4 | 2020 | 54 | |
| 5 | 2018 | 43 | |
| 6 | 2018 | 42 | |
| 7 | 2015 | 38 | |
| 8 | 2019 | 34 | |
| 9 | 2016 | 32 | |
| 10 | 2020 | 31 | |
| 11 | 2019 | 30 | |
| 12 | 2022 | 26 | |
| 13 | 2018 | 25 | |
| 14 | 2019 | 24 | |
| 15 | 2020 | 22 | |
| 16 | 2018 | 20 | |
| 17 | 1997 | 19 | |
| 18 | 2021 | 19 | |
| 19 | 2018 | 18 | |
| 20 | 2019 | 17 |
About Yen Pham
Yen Pham is a scholar working on Pediatrics, Perinatology and Child Health, Electrochemistry, Pulmonary and Respiratory Medicine, Endocrine and Autonomic Systems and Surgery, having authored 61 papers that have together received 921 indexed citations. Recurring topics across this work include Neonatal and fetal brain pathology (16 papers), Electrochemical Analysis and Applications (13 papers), Neonatal Respiratory Health Research (10 papers), Neuroscience of respiration and sleep (6 papers), Analytical Chemistry and Sensors (5 papers), Electrochemical sensors and biosensors (5 papers), Mesenchymal stem cell research (4 papers) and Advanced Chemical Sensor Technologies (4 papers). The work is most often cited by research in Electrochemistry (90 citations), Pediatrics, Perinatology and Child Health (233 citations), Genetics (97 citations), Transplantation (23 citations) and Endocrine and Autonomic Systems (53 citations). Yen Pham has collaborated with scholars based in Australia, Vietnam and United States. Frequent co-authors include Amy E. Sutherland, Graham Jenkin, Stephanie Miller, Tamir Miloh, Courtney McDonald, Michael Fahey, Margie Castillo-Meléndez, Ximing Du, Andrew J. Brown and Anil K. Malhotra. Their work appears in journals such as The Journal of Physiology, Frontiers in Physiology, Pediatric Research, Developmental Neuroscience and Stem Cell Research & Therapy.
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.