Jin-Mei Lai

1.0k citations
21 papers · 792 indexed · h-index 15
Topics
Bioinformatics and Genomic Networks (8 papers)Computational Drug Discovery Methods (4 papers)Machine Learning in Bioinformatics (2 papers)

In The Last Decade

Jin-Mei Lai

21 papers receiving 783 citations

Peers

Jin-Mei Lai
Comparison fields: 5 of 91
  • Molecular Biology 573
  • Oncology 146
  • Cell Biology 121
  • Computational Theory and Mathematics 106
  • Cancer Research 71
Replace Yasmin J. Asad with:
Yasmin J. Asad United Kingdom
Aurelio Pio Nardozza Italy
Lit‐Hsin Loo Singapore
Elena Santonico Italy
Laura Engstrom United States
Noriyuki Nakatsu Japan
Jeong‐Min Kim South Korea
Kirstin Meyer Germany
Paul Shapiro United States
Marjo de Graauw Netherlands
Jin-Mei Lai relative to Yasmin J. Asad United Kingdom Yasmin J. Asad's profile →
Citations per field
00.5×1.5×1.9×
Yasmin J. Asad · 1×
Citations per year

Countries citing papers authored by Jin-Mei Lai

Since Specialization
Citations

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

Fields of papers citing papers by Jin-Mei Lai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jin-Mei Lai. 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 Jin-Mei Lai. The network helps show where Jin-Mei Lai may publish in the future.

Co-authorship network of co-authors of Jin-Mei Lai

This figure shows the co-authorship network connecting the top 25 collaborators of Jin-Mei Lai. A scholar is included among the top collaborators of Jin-Mei Lai 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 Jin-Mei Lai. Jin-Mei Lai 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 10
2 8
3 27
4 23
5 19
6 16
7 24
8 29
9 14
10 170
11 61
12 5
13 22
14 39
15 10
16 85
17 78
18 12
19 42
20 38

About Jin-Mei Lai

Jin-Mei Lai is a scholar working on Cancer Research, Computational Theory and Mathematics and Molecular Biology, having authored 21 papers that have together received 792 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (8 papers), Computational Drug Discovery Methods (4 papers) and Machine Learning in Bioinformatics (2 papers). The work is most often cited by research in Molecular Biology (573 citations), Cell Biology (121 citations) and Computational Theory and Mathematics (106 citations). Jin-Mei Lai has collaborated with scholars based in Taiwan, United States and Saudi Arabia. Frequent co-authors include Chi‐Ying F. Huang, Sheng‐An Lee, Feng‐Sheng Wang, Cheng-Yan Kao, Zee‐Fen Chang, Chia‐Ling Hsieh, Peter Mu‐Hsin Chang, Yu-Wen Liu, Chueh‐Chuan Yen and Pan‐Chyr Yang. Their work appears in journals such as Bioinformatics, PLoS ONE and American Journal of Respiratory and Critical Care Medicine.

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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