M. Cui

474 citations
10 papers · 343 · h-index 7

Impact in

Papers in

    • Plant responses to elevated CO2 2
    • Leaf Properties and Growth Measurement 2
    • Botanical Research and Applications 2

M. Cui

9 papers receiving 329 citations

Peers

M. Cui
Comparison fields: 5 of 56
  • Plant Science 223
  • Global and Planetary Change 122
  • Nature and Landscape Conservation 51
  • Ecology, Evolution, Behavior and Systematics 71
  • Food Science 46
Replace María Laura Peschiutta with:
María Laura Peschiutta Argentina
Woldeselassie Ogbazghi China
W. Mack Thompson United States
E.A. Halligan New Zealand
Moemy Gomes de Moraes Brazil
C. E. R. Ortíz United States
Roberto L. Romão Brazil
Elizabeth Rengifo Venezuela
Cecília Gonçalves Costa Brazil
Giovanni Bortolami France
M. Cui relative to María Laura Peschiutta Argentina María Laura Peschiutta's profile →
Citations per field
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María Laura Peschiutta · 1×
Citations per year

Countries citing papers authored by M. Cui

Since Specialization
Citations

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

Fields of papers citing papers by M. Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside M. 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 M. Cui Line = papers co-authored together M. Cui links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 1991141
2 199167
3 199345
4 199732
5 199426
6 202020
7
[Relationship between soil water content and water use efficiency of apple leaves].
20019
8 20202
9 20181
10 20250

About M. Cui

M. Cui is a scholar working on Plant Science, Food Science, Global and Planetary Change, Surgery and Nephrology, having authored 10 papers that have together received 343 indexed citations. Recurring topics across this work include Plant Water Relations and Carbon Dynamics (2 papers), Plant responses to elevated CO2 (2 papers), Botanical Research and Applications (2 papers), Leaf Properties and Growth Measurement (2 papers), Remote Sensing in Agriculture (1 paper), Genetic Syndromes and Imprinting (1 paper), Soil Carbon and Nitrogen Dynamics (1 paper) and COVID-19 epidemiological studies (1 paper). The work is most often cited by research in Plant Science (223 citations), Global and Planetary Change (122 citations), Nature and Landscape Conservation (51 citations), Ecology, Evolution, Behavior and Systematics (71 citations) and Food Science (46 citations). M. Cui has collaborated with scholars based in United States and China. Frequent co-authors include William K. Smith, Thomas C. Vogelmann, Park S. Nobel, Anna W. Schoettle, M. M. Caldwell, P. M. Miller, Ligong Lu, Hao Jin, Haiquan Yang and Y Liu. Their work appears in journals such as Plant Cell & Environment, PLANT PHYSIOLOGY, Oecologia, Journal of Hospital Infection and Tree Physiology.

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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