Min Liao

643 total citations
41 papers, 500 citations indexed

About

Min Liao is a scholar working on Molecular Biology, Parasitology and Plant Science. According to data from OpenAlex, Min Liao has authored 41 papers receiving a total of 500 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 11 papers in Parasitology and 9 papers in Plant Science. Recurrent topics in Min Liao's work include Vector-borne infectious diseases (9 papers), Insect and Pesticide Research (6 papers) and Weed Control and Herbicide Applications (6 papers). Min Liao is often cited by papers focused on Vector-borne infectious diseases (9 papers), Insect and Pesticide Research (6 papers) and Weed Control and Herbicide Applications (6 papers). Min Liao collaborates with scholars based in China, Japan and Mongolia. Min Liao's co-authors include Kozo Fujisaki, Xuenan Xuan, Haiyan Gong, Jinlin Zhou, Haiqun Cao, Damdinsuren Boldbaatar, Rika Umemiya‐Shirafuji, Tokuro Shimokawa, Tetsuya Tanaka and Banzragch Battur and has published in prestigious journals such as PLoS ONE, Journal of Agricultural and Food Chemistry and Scientific Reports.

In The Last Decade

Min Liao

38 papers receiving 488 citations

Peers

Min Liao
Comparison fields: 5 of 84
  • Parasitology 202
  • Molecular Biology 131
  • Insect Science 114
  • Infectious Diseases 76
  • Plant Science 75
Replace Karel Harant with:
Karel Harant Czechia
Karel Estrada Mexico
Marcelo S. Reis Brazil
Elena Bencúrová Slovakia
Steve Fischer United States
Nadeeza Ishmael United States
Michael Zianni United States
Olivia Doppelt‐Azeroual France
Charles W. Roth France
H Nashimoto Japan
Karel Harant Czechia View profile →
Citations per field, relative to Min Liao
Min Liao · 1×
Citations per year, relative to Min Liao
Min Liao · 1×

Countries citing papers authored by Min Liao

Since Specialization
Citations

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

Fields of papers citing papers by Min Liao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Min Liao

This figure shows the co-authorship network connecting the top 25 collaborators of Min Liao. A scholar is included among the top collaborators of Min Liao 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 Min Liao. Min Liao 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 0
2 0
3 7
4 7
5 23
6 4
7 5
8 4
9 6
10 20
11 14
12 12
13 34
14 33
15 18
16 28
17 46
18 17
19 19
20
Goodness-of-fit tests for the type-1 extreme-value and two-parameter Weibull distributions with unknown parameters estimated by graphical plotting techniques. Part 1: Critical values
2

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026