Mei Leng

1.1k total citations
21 papers, 799 citations indexed

About

Mei Leng is a scholar working on Molecular Biology, Oncology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Mei Leng has authored 21 papers receiving a total of 799 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 5 papers in Oncology and 4 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Mei Leng's work include DNA Repair Mechanisms (10 papers), Reproductive Biology and Fertility (4 papers) and Microtubule and mitosis dynamics (4 papers). Mei Leng is often cited by papers focused on DNA Repair Mechanisms (10 papers), Reproductive Biology and Fertility (4 papers) and Microtubule and mitosis dynamics (4 papers). Mei Leng collaborates with scholars based in United States, China and Japan. Mei Leng's co-authors include Jun Qin, Hao Luo, Yì Wáng, Sung Yun Jung, Doug W. Chan, Tao Yang, Jung‐Jung Mu, Dario Besusso, Jinglan Zhang and Yi Wang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The EMBO Journal.

In The Last Decade

Mei Leng

21 papers receiving 793 citations

Peers

Mei Leng
Comparison fields: 5 of 75
  • Molecular Biology 676
  • Oncology 197
  • Cell Biology 170
  • Cancer Research 103
  • Plant Science 95
Replace Katsuya Takenaka with:
Katsuya Takenaka Japan
Montserrat Jaumot Spain
Margret B. Einarson United States
Jit Kong Cheong Singapore
Clive S. D’Santos United Kingdom
Kiyofumi Kaneshiro Japan
Cynthia Spittle United States
Florence Larminat France
Sandra Segura‐Bayona Spain
Ali Syed United States
Katsuya Takenaka Japan View profile →
Citations per field, relative to Mei Leng
Mei Leng · 1×
Citations per year, relative to Mei Leng
Mei Leng · 1×

Countries citing papers authored by Mei Leng

Since Specialization
Citations

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

Fields of papers citing papers by Mei Leng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mei Leng

This figure shows the co-authorship network connecting the top 25 collaborators of Mei Leng. A scholar is included among the top collaborators of Mei Leng 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 Mei Leng. Mei Leng 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
# Work Indexed citations
1 2
2 4
3 3
4 18
5 26
6 11
7 57
8 40
9 32
10 62
11 17
12 45
13 22
14 29
15 5
16 142
17 53
18 116
19 41
20
Ultrastructure of Transfer Cells in Endosperm of Coix lacryma-jobi
1

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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