Maya M.L. Poon

21 total papers · 2.2k total citations
6 papers, 473 citations indexed

About

Maya M.L. Poon is a scholar working on Immunology, Pulmonary and Respiratory Medicine and Infectious Diseases. According to data from OpenAlex, Maya M.L. Poon has authored 6 papers receiving a total of 473 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Immunology, 2 papers in Pulmonary and Respiratory Medicine and 1 paper in Infectious Diseases. Recurrent topics in Maya M.L. Poon's work include Immune Cell Function and Interaction (4 papers), T-cell and B-cell Immunology (3 papers) and Immunotherapy and Immune Responses (2 papers). Maya M.L. Poon is often cited by papers focused on Immune Cell Function and Interaction (4 papers), T-cell and B-cell Immunology (3 papers) and Immunotherapy and Immune Responses (2 papers). Maya M.L. Poon collaborates with scholars based in United States, Hungary and Israel. Maya M.L. Poon's co-authors include Donna L. Färber, Masaru Kubota, Rei Matsumoto, Peter A. Szabo, Yufeng Shen, Pranay Dogra, Takashi Senda, Puspa Thapa, Márta Tóth and Chiara Rancan and has published in prestigious journals such as Cell, Nature Medicine and Nature Immunology.

In The Last Decade

Maya M.L. Poon

6 papers receiving 469 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Maya M.L. Poon 353 113 53 40 32 6 473
Fumiko Suenaga 208 0.6× 68 0.6× 57 1.1× 34 0.8× 18 0.6× 8 475
G Snelli 216 0.6× 86 0.8× 63 1.2× 23 0.6× 9 0.3× 5 469
L Shou 381 1.1× 55 0.5× 87 1.6× 29 0.7× 7 0.2× 6 548
Samuel Fan 269 0.8× 108 1.0× 59 1.1× 12 0.3× 9 0.3× 7 410
Andrea W. D. Stavenuiter 193 0.5× 41 0.4× 102 1.9× 53 1.3× 10 0.3× 9 457
Alice Coillard 317 0.9× 55 0.5× 130 2.5× 8 0.2× 20 0.6× 9 452
Marvin S. Hausman 228 0.6× 71 0.6× 86 1.6× 65 1.6× 4 0.1× 8 414
Irma Tindemans 330 0.9× 59 0.5× 117 2.2× 102 2.5× 8 0.3× 11 522
Kate Gibson 236 0.7× 107 0.9× 124 2.3× 16 0.4× 10 0.3× 5 495
Quanquan Ding 203 0.6× 134 1.2× 84 1.6× 28 0.7× 13 0.4× 9 484

Countries citing papers authored by Maya M.L. Poon

Since Specialization
Citations

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

Fields of papers citing papers by Maya M.L. Poon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maya M.L. Poon. 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 Maya M.L. Poon. The network helps show where Maya M.L. Poon may publish in the future.

Co-authorship network of co-authors of Maya M.L. Poon

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

All Works

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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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