Say Li Kong

3.0k citations
21 papers · 1.7k indexed · 1 hit paper · h-index 14
Topics
Cancer Genomics and Diagnostics (8 papers)Genomics and Chromatin Dynamics (6 papers)Single-cell and spatial transcriptomics (4 papers)

In The Last Decade

Say Li Kong

20 papers receiving 1.7k citations

Hit Papers

Reference component analysis of single-cell transcriptome...20172026202020232017200400600

Peers

Say Li Kong
Comparison fields: 5 of 105
  • Molecular Biology 1.1k
  • Oncology 591
  • Cancer Research 506
  • Genetics 329
  • Immunology 218
Replace Christopher G. Hubert with:
Christopher G. Hubert United States
Kienan I. Savage United Kingdom
Kyong‐Ah Yoon South Korea
Apolinar Maya‐Mendoza Denmark
Andrei Turtoï France
Yiyun Lin United States
Elaine Sanij Australia
Emma Nolan United Kingdom
Evelyne Goillot France
Geoffroy Andrieux Germany
Say Li Kong relative to Christopher G. Hubert United States Christopher G. Hubert's profile →
Citations per field
00.5×2.8×
Christopher G. Hubert · 1×
Citations per year

Countries citing papers authored by Say Li Kong

Since Specialization
Citations

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

Fields of papers citing papers by Say Li Kong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Say Li Kong. 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 Say Li Kong. The network helps show where Say Li Kong may publish in the future.

Co-authorship network of co-authors of Say Li Kong

This figure shows the co-authorship network connecting the top 25 collaborators of Say Li Kong. A scholar is included among the top collaborators of Say Li Kong 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 Say Li Kong. Say Li Kong 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 12
3 5
4 12
5 2
6 17
7 11
8 15
9
Reference component analysis of single-cell transcriptomes elucidates cellular heterogeneity in human colorectal tumorsbreakdown →
722
10 25
11 48
12 28
13 9
14 155
15 125
16 72
17 81
18 43
19 13
20 243

About Say Li Kong

Say Li Kong is a scholar working on Cancer Research, Molecular Biology and Oncology, having authored 21 papers that have together received 1.7k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (8 papers), Genomics and Chromatin Dynamics (6 papers) and Single-cell and spatial transcriptomics (4 papers). The work is most often cited by research in Cancer Research (506 citations), Oncology (591 citations) and Molecular Biology (1.1k citations). Say Li Kong has collaborated with scholars based in Singapore, United States and India. Frequent co-authors include Edison T. Liu, Shyam Prabhakar, Axel M. Hillmer, Elise T. Courtois, Huipeng Li, Debarka Sengupta, Yuliana Tan, Lawrence JK Wee, Jolene Jie Lin Goh and Paul Robson. Their work appears in journals such as Nucleic Acids Research, Nature Communications and Nature Genetics.

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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