Mee‐Hoong See

109 total papers · 1.7k total citations
74 papers, 968 citations indexed

About

Mee‐Hoong See is a scholar working on Oncology, Cancer Research and Surgery. According to data from OpenAlex, Mee‐Hoong See has authored 74 papers receiving a total of 968 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Oncology, 29 papers in Cancer Research and 17 papers in Surgery. Recurrent topics in Mee‐Hoong See's work include Breast Cancer Treatment Studies (25 papers), Global Cancer Incidence and Screening (15 papers) and Breast Lesions and Carcinomas (12 papers). Mee‐Hoong See is often cited by papers focused on Breast Cancer Treatment Studies (25 papers), Global Cancer Incidence and Screening (15 papers) and Breast Lesions and Carcinomas (12 papers). Mee‐Hoong See collaborates with scholars based in Malaysia, Netherlands and United Kingdom. Mee‐Hoong See's co-authors include Nur Aishah Mohd Taib, Suniza Jamaris, Nirmala Bhoo‐Pathy, GH Tan, K.P. Ng, Rafid Salim Jabir, Cheng Har Yip, Maznah Dahlui, Lee Lee Lai and Chong Guan Ng and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Cancer Research.

In The Last Decade

Mee‐Hoong See

67 papers receiving 953 citations

Author Peers

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

Author Last Decade Papers Cites
Mee‐Hoong See 544 245 189 133 103 74 968
Matthias Unseld 405 0.7× 202 0.8× 163 0.9× 110 0.8× 266 2.6× 80 999
Weng Ng 650 1.2× 167 0.7× 181 1.0× 153 1.2× 196 1.9× 72 1.1k
Ishwaria M. Subbiah 575 1.1× 138 0.6× 318 1.7× 116 0.9× 170 1.7× 94 1.1k
Hikmat Abdel‐Razeq 469 0.9× 232 0.9× 188 1.0× 118 0.9× 137 1.3× 155 1.2k
Konstantinos Kamposioras 567 1.0× 111 0.5× 191 1.0× 129 1.0× 212 2.1× 71 1.0k
Yi‐Ping Hung 336 0.6× 119 0.5× 232 1.2× 115 0.9× 85 0.8× 45 834
Albert M. Bernath 502 0.9× 169 0.7× 278 1.5× 80 0.6× 209 2.0× 39 1.1k
P Rissanen 364 0.7× 207 0.8× 141 0.7× 132 1.0× 59 0.6× 60 965
Gianluca Vanni 549 1.0× 257 1.0× 247 1.3× 330 2.5× 56 0.5× 103 1.2k
Marco Fornili 484 0.9× 163 0.7× 231 1.2× 106 0.8× 203 2.0× 49 1.1k

Countries citing papers authored by Mee‐Hoong See

Since Specialization
Citations

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

Fields of papers citing papers by Mee‐Hoong See

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mee‐Hoong See. 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 Mee‐Hoong See. The network helps show where Mee‐Hoong See may publish in the future.

Co-authorship network of co-authors of Mee‐Hoong See

This figure shows the co-authorship network connecting the top 25 collaborators of Mee‐Hoong See. A scholar is included among the top collaborators of Mee‐Hoong See 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 Mee‐Hoong See. Mee‐Hoong See 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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