Phoenix Kwan

9.0k total citations
3 papers, 19 citations indexed

About

Phoenix Kwan is a scholar working on Molecular Biology, Clinical Biochemistry and Hardware and Architecture. According to data from OpenAlex, Phoenix Kwan has authored 3 papers receiving a total of 19 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Molecular Biology, 1 paper in Clinical Biochemistry and 1 paper in Hardware and Architecture. Recurrent topics in Phoenix Kwan's work include Smart Agriculture and AI (1 paper), T-cell and B-cell Immunology (1 paper) and Reproductive System and Pregnancy (1 paper). Phoenix Kwan is often cited by papers focused on Smart Agriculture and AI (1 paper), T-cell and B-cell Immunology (1 paper) and Reproductive System and Pregnancy (1 paper). Phoenix Kwan collaborates with scholars based in United States and United Kingdom. Phoenix Kwan's co-authors include Steven G. E. Marsh, Amanda Birmingham, J. Alejandro Madrigal, S.T. Cox, Alan Little, M. Lau, Brian Tomlinson and Larry Baum and has published in prestigious journals such as Bioinformatics and Tissue Antigens.

In The Last Decade

Phoenix Kwan

3 papers receiving 19 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Phoenix Kwan United States 2 15 5 4 3 1 3 19
Michael Holers United States 3 15 1.0× 2 0.4× 2 0.5× 4 15
Jennifer Chien United States 2 8 0.5× 3 0.6× 3 0.8× 2 12
Jesmeen Maimaris United Kingdom 3 8 0.5× 3 0.6× 4 1.0× 5 14
Daniel Hunter South Africa 2 8 0.5× 3 0.6× 2 0.5× 2 13
Jane Rowlands United Kingdom 2 5 0.3× 3 0.6× 4 1.0× 2 10
Molly Radosevich United States 2 7 0.5× 4 0.8× 3 0.8× 6 10
H Nutt Australia 2 5 0.3× 6 1.2× 3 0.8× 2 15
Severine Bettinger France 2 13 0.9× 6 1.2× 3 15
Heleen Verschueren Netherlands 2 5 0.3× 5 1.0× 5 1.3× 3 14
Paul A. Giardina United States 4 6 0.4× 5 1.0× 6 1.5× 7 23

Countries citing papers authored by Phoenix Kwan

Since Specialization
Citations

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

Fields of papers citing papers by Phoenix Kwan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Phoenix Kwan. 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 Phoenix Kwan. The network helps show where Phoenix Kwan may publish in the future.

Co-authorship network of co-authors of Phoenix Kwan

This figure shows the co-authorship network connecting the top 25 collaborators of Phoenix Kwan. A scholar is included among the top collaborators of Phoenix Kwan 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 Phoenix Kwan. Phoenix Kwan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

3 of 3 papers shown
1.
Kwan, Phoenix & Amanda Birmingham. (2010). NoiseMaker: simulated screens for statistical assessment. Bioinformatics. 26(19). 2484–2485. 3 indexed citations
2.
Baum, Larry, et al.. (2009). Association of epilepsy with voltage gated sodium channel gene polymorphisms in Han Chinese. 1 indexed citations
3.
Cox, S.T., Steven G. E. Marsh, M. Lau, et al.. (1999). Sequence of HLA‐A*6808. Tissue Antigens. 53(6). 597–600. 15 indexed citations

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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