Min‐Long Cui

442 citations
20 papers · 335 · h-index 9

Impact in

Papers in

    • Plant tissue culture and regeneration 9
    • CRISPR and Genetic Engineering 4
    • Photosynthetic Processes and Mechanisms 3
    • Plant Gene Expression Analysis 3
    • Plant biochemistry and biosynthesis 2
    • Plant Molecular Biology Research 8
    • Research in Cotton Cultivation 2

Min‐Long Cui

15 papers receiving 318 citations

Peers

Min‐Long Cui
Comparison fields: 5 of 54
  • Biotechnology 115
  • Plant Science 211
  • Molecular Biology 262
  • Nutrition and Dietetics 36
  • Sensory Systems 10
Replace Kenichiro Matsushima with:
Kenichiro Matsushima Japan
Stanislava Grozeva Bulgaria
Matthew Kokolski United Kingdom
S. Heimovaara-Dijkstra Netherlands
Leena Mannonen Finland
K. Sakthivel India
Alban Jacques France
Qiaoping Qin China
Monika Tuleja Poland
Renata Orłowska Poland
Min‐Long Cui relative to Kenichiro Matsushima Japan Kenichiro Matsushima's profile →
Citations per field
00.5×2.8×
Kenichiro Matsushima · 1×
Citations per year

Countries citing papers authored by Min‐Long Cui

Since Specialization
Citations

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

Fields of papers citing papers by Min‐Long Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Min‐Long Cui, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Min‐Long Cui Line = papers co-authored together Min‐Long Cui links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 200687
2 201045
3 200136
4 201332
5 202030
6 200426
7 200026
8 201317
9 202214
10 20037
11 20235
12 20214
13 20143
14 20222
15 20251
16 20250
17 20250
18 20250
19 20240
20 20250

About Min‐Long Cui

Min‐Long Cui is a scholar working on Molecular Biology, Plant Science, Biotechnology, Electrical and Electronic Engineering and Pharmacology, having authored 20 papers that have together received 335 indexed citations. Recurring topics across this work include Plant tissue culture and regeneration (9 papers), Plant Molecular Biology Research (8 papers), Transgenic Plants and Applications (7 papers), CRISPR and Genetic Engineering (4 papers), Photosynthetic Processes and Mechanisms (3 papers), Plant Gene Expression Analysis (3 papers), Plant biochemistry and biosynthesis (2 papers) and Research in Cotton Cultivation (2 papers). The work is most often cited by research in Biotechnology (115 citations), Plant Science (211 citations), Molecular Biology (262 citations), Nutrition and Dietetics (36 citations) and Sensory Systems (10 citations). Min‐Long Cui has collaborated with scholars based in China, Japan and United Kingdom. Frequent co-authors include Hiroshi Ezura, Biao Ma, Hyeon‐Jin Sun, Takashi Handa, Hiroshi Kamada, Chuanliang Liu, Kenji Takayanagi, Amelia A. Green, Jenny Bangham and Enrico Coen. Their work appears in journals such as Plant Science, Plants, Applied Biochemistry and Biotechnology, Journal of Colloid and Interface Science and BMJ Open.

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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