Hailiang Mei

9.6k total citations · 1 hit paper
133 papers, 2.6k citations indexed

About

Hailiang Mei is a scholar working on Molecular Biology, Cancer Research and Rheumatology. According to data from OpenAlex, Hailiang Mei has authored 133 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Molecular Biology, 25 papers in Cancer Research and 14 papers in Rheumatology. Recurrent topics in Hailiang Mei's work include Cancer-related molecular mechanisms research (18 papers), RNA Research and Splicing (13 papers) and RNA modifications and cancer (11 papers). Hailiang Mei is often cited by papers focused on Cancer-related molecular mechanisms research (18 papers), RNA Research and Splicing (13 papers) and RNA modifications and cancer (11 papers). Hailiang Mei collaborates with scholars based in Netherlands, China and United States. Hailiang Mei's co-authors include Davy Cats, Ahmed Mahfouz, Marcel Reinders, Tamim Abdelaal, Lieke Michielsen, Szymon M. Kiełbasa, Ioannis Moustakas, Susana M. Chuva de Sousa Lopes, Ingrid Meulenbelt and H. Eka D. Suchiman and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Nature Genetics.

In The Last Decade

Hailiang Mei

126 papers receiving 2.5k citations

Hit Papers

A comparison of automatic cell identification methods for... 2019 2026 2021 2023 2019 100 200 300

Peers

Hailiang Mei
Comparison fields: 5 of 147
  • Molecular Biology 1.5k
  • Cancer Research 439
  • Genetics 302
  • Immunology 265
  • Plant Science 258
Replace Sarah Kummerfeld with:
Sarah Kummerfeld Australia
Wenting Wu China
Alia Benkahla Tunisia
Kimmo Palin Finland
Nathalie Pochet United States
Oussema Souiai Tunisia
Abul Bashar Mir Md. Khademul Islam Bangladesh
Fatma Z. Guerfali Tunisia
Wencke Walter Germany
Stephen Taylor United Kingdom
Sarah Kummerfeld Australia View profile →
Citations per field, relative to Hailiang Mei
Hailiang Mei · 1×
Citations per year, relative to Hailiang Mei
Hailiang Mei · 1×

Countries citing papers authored by Hailiang Mei

Since Specialization
Citations

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

Fields of papers citing papers by Hailiang Mei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hailiang Mei

This figure shows the co-authorship network connecting the top 25 collaborators of Hailiang Mei. A scholar is included among the top collaborators of Hailiang Mei 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 Hailiang Mei. Hailiang Mei 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 0
3 8
4 8
5 20
6 48
7 3
8 1
9 6
10 8
11 9
12 24
13 29
14 14
15 10
16 25
17 11
18 46
19 6
20
A Framework for Smart Distribution of Bio-signal Processing Units in M-Health
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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