Kian Meng Chang

698 citations
29 papers · 198 indexed · h-index 8
Topics
Chronic Lymphocytic Leukemia Research (5 papers)Chronic Myeloid Leukemia Treatments (5 papers)Hematopoietic Stem Cell Transplantation (5 papers)

In The Last Decade

Kian Meng Chang

26 papers receiving 195 citations

Peers

Kian Meng Chang
Comparison fields: 5 of 64
  • Hematology 100
  • Genetics 71
  • Molecular Biology 33
  • Oncology 28
  • Physiology 22
Replace Lene Hansen with:
Lene Hansen Denmark
Rakchha Chhetri Australia
Hussein Awada United States
Mahmoud Elsawy United States
Susanne M. Gauthier United States
Kaito Harada Japan
Stéphane Darre France
Ulf Christian Frølund Denmark
Cristina Encinas Spain
Jayeshkumar Patel United States
Kian Meng Chang relative to Lene Hansen Denmark Lene Hansen's profile →
Citations per field
00.5×4.4×
Lene Hansen · 1×
Citations per year

Countries citing papers authored by Kian Meng Chang

Since Specialization
Citations

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

Fields of papers citing papers by Kian Meng Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kian Meng Chang. 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 Kian Meng Chang. The network helps show where Kian Meng Chang may publish in the future.

Co-authorship network of co-authors of Kian Meng Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Kian Meng Chang. A scholar is included among the top collaborators of Kian Meng Chang 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 Kian Meng Chang. Kian Meng Chang 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 2
3 2
4 4
5 1
6 0
7 13
8 3
9 4
10
Microarray-based genomic analysis identifies germline and somatic copy number variants and loss of heterozygosity in acute myeloid leukaemia
1
11 2
12 14
13 1
14 18
15 7
16 6
17 55
18
Thalassaemia screening among students in a secondary school in Ampang, Malaysia.
16
19 1
20 13

About Kian Meng Chang

Kian Meng Chang is a scholar working on Hematology, Genetics and Transplantation, having authored 29 papers that have together received 198 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (5 papers), Chronic Myeloid Leukemia Treatments (5 papers) and Hematopoietic Stem Cell Transplantation (5 papers). The work is most often cited by research in Hematology (100 citations), Genetics (71 citations) and Family Practice (8 citations). Kian Meng Chang has collaborated with scholars based in Malaysia, United Kingdom and Taiwan. Frequent co-authors include Jameela Sathar, Ping Chong Bee, Li‐Chia Chen, Siew Siang Chua, Gin Gin Gan, Chiann‐Yi Hsu, I Zakiah, Cecile Phan, Soon Keng Cheong and Tan Seng Beng. Their work appears in journals such as Blood, PLoS ONE and BMC Cancer.

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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