Phillip Y. Tam

520 citations
5 papers · 164 indexed · h-index 5
Topics
Advanced Biosensing Techniques and Applications (3 papers)Monoclonal and Polyclonal Antibodies Research (3 papers)Biosensors and Analytical Detection (2 papers)
Partner nations
United StatesSouth Korea

In The Last Decade

Phillip Y. Tam

5 papers receiving 162 citations

Peers

Phillip Y. Tam
Comparison fields: 5 of 52
  • Molecular Biology 131
  • Radiology, Nuclear Medicine and Imaging 79
  • Ecology 59
  • Biomedical Engineering 30
  • Electrical and Electronic Engineering 12
Replace Patricia E. Buckley with:
Patricia E. Buckley United States
Chang‐Gil Park South Korea
Nicole E. Gregorio United States
M. Lourdes Velez‐Suberbie United Kingdom
Rachel S. Dubner United States
Philip Alexander Heine Germany
Max Z. Levine United States
Michael J. Hammerling United States
Rachel E. Kelemen United States
Barbora Lavickova Switzerland
Phillip Y. Tam relative to Patricia E. Buckley United States Patricia E. Buckley's profile →
Citations per field
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Patricia E. Buckley · 1×
Citations per year

Countries citing papers authored by Phillip Y. Tam

Since Specialization
Citations

This map shows the geographic impact of Phillip Y. Tam'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 Phillip Y. Tam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Phillip Y. Tam more than expected).

Fields of papers citing papers by Phillip Y. Tam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Phillip Y. Tam. 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 Phillip Y. Tam. The network helps show where Phillip Y. Tam may publish in the future.

Co-authorship network of co-authors of Phillip Y. Tam

This figure shows the co-authorship network connecting the top 25 collaborators of Phillip Y. Tam. A scholar is included among the top collaborators of Phillip Y. Tam based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Phillip Y. Tam. Phillip Y. Tam is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

About Phillip Y. Tam

Phillip Y. Tam is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology and Biomedical Engineering, having authored 5 papers that have together received 164 indexed citations. Recurring topics across this work include Advanced Biosensing Techniques and Applications (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and Biosensors and Analytical Detection (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (79 citations), Ecology (59 citations) and Molecular Biology (131 citations). Phillip Y. Tam has collaborated with scholars based in United States and South Korea. Frequent co-authors include Gregory A. Weiss, Reginald M. Penner, Katsuyuki Murase, Kim Morrison, Ryan Stafford, Frances Jurnak, Benjamin J. Murray, Theresa M. McIntire, Limei Yang and Jorge A. Lamboy. Their work appears in journals such as Nano Letters, Analytical Chemistry and ChemBioChem.

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.

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