Matthew M. K. Shing

495 citations
28 papers · 314 indexed · h-index 12
Topics
Glioma Diagnosis and Treatment (8 papers)Hematopoietic Stem Cell Transplantation (6 papers)Neuroblastoma Research and Treatments (5 papers)
Partner nations
Hong KongChinaCanada

In The Last Decade

Matthew M. K. Shing

27 papers receiving 308 citations

Peers

Matthew M. K. Shing
Comparison fields: 5 of 64
  • Genetics 124
  • Hematology 99
  • Pediatrics, Perinatology and Child Health 81
  • Epidemiology 49
  • Surgery 48
Replace Alex Wing Kwan Leung with:
Alex Wing Kwan Leung Hong Kong
Siret Ratıp Türkiye
Manas Kalra India
L. Pitcher Australia
Benigna Maria de Oliveira Brazil
Zarina Abdul Latiff Malaysia
Gail Megason United States
José Carlos Morais Brazil
Natasha M. Archer United States
Hui Leung Yuen China
Matthew M. K. Shing relative to Alex Wing Kwan Leung Hong Kong Alex Wing Kwan Leung's profile →
Citations per field
00.5×1.5×
Alex Wing Kwan Leung · 1×
Citations per year

Countries citing papers authored by Matthew M. K. Shing

Since Specialization
Citations

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

Fields of papers citing papers by Matthew M. K. Shing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew M. K. Shing. 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 Matthew M. K. Shing. The network helps show where Matthew M. K. Shing may publish in the future.

Co-authorship network of co-authors of Matthew M. K. Shing

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 1
3 2
4 2
5 1
6 5
7 12
8 3
9 18
10 38
11 17
12 16
13 21
14 22
15 12
16 28
17 1
18 32
19 11
20 8

About Matthew M. K. Shing

Matthew M. K. Shing is a scholar working on Genetics, Hematology and Neurology, having authored 28 papers that have together received 314 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (8 papers), Hematopoietic Stem Cell Transplantation (6 papers) and Neuroblastoma Research and Treatments (5 papers). The work is most often cited by research in Genetics (124 citations), Hematology (99 citations) and Pediatrics, Perinatology and Child Health (81 citations). Matthew M. K. Shing has collaborated with scholars based in Hong Kong, China and Canada. Frequent co-authors include Chi Kong Li, Ting Fan Leung, Ki-Wai Chik, Vincent Lee, Ki Wai Chik, Nancy Xiaonan Yu, Ting-Fan Leung, Tai Fai Fok, Winnie W. S. Mak and Joseph T. F. Lau. Their work appears in journals such as The Journal of Pediatrics, Acta Neuropathologica and Cancers.

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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