M. Laza

1.2k total citations
24 papers, 845 citations indexed

About

M. Laza is a scholar working on Plant Science, Ecology, Evolution, Behavior and Systematics and Agronomy and Crop Science. According to data from OpenAlex, M. Laza has authored 24 papers receiving a total of 845 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Plant Science, 6 papers in Ecology, Evolution, Behavior and Systematics and 6 papers in Agronomy and Crop Science. Recurrent topics in M. Laza's work include Rice Cultivation and Yield Improvement (18 papers), Plant responses to water stress (6 papers) and Genetic Mapping and Diversity in Plants and Animals (6 papers). M. Laza is often cited by papers focused on Rice Cultivation and Yield Improvement (18 papers), Plant responses to water stress (6 papers) and Genetic Mapping and Diversity in Plants and Animals (6 papers). M. Laza collaborates with scholars based in Philippines, Japan and France. M. Laza's co-authors include Shaobing Peng, Shigemi Akita, Hitoshi SAKA, Kenneth G. Cassman, G. N. Atlin, F. V. Garcia, Modesto Amante, Dayun Tao, H.R. Lafïtte and Brigitte Courtois and has published in prestigious journals such as Food Research International, Theoretical and Applied Genetics and Agricultural and Forest Meteorology.

In The Last Decade

M. Laza

23 papers receiving 800 citations

Peers

M. Laza
Comparison fields: 5 of 55
  • Plant Science 767
  • Genetics 179
  • Agronomy and Crop Science 166
  • Ecology, Evolution, Behavior and Systematics 150
  • Soil Science 101
Replace Hiroe Yoshida with:
Hiroe Yoshida Japan
Woonho Yang South Korea
Tanguy Lafarge France
Allan Rattey Australia
Ravindra N. Devkota United States
Izzat Sidahmed Ali Tahir Sudan
Dario Fossati Switzerland
Wanju Shi China
Ian Broad Australia
Marja Jalli Finland
Hiroe Yoshida Japan View profile →
Citations per field, relative to M. Laza
M. Laza · 1×
Citations per year, relative to M. Laza
M. Laza · 1×

Countries citing papers authored by M. Laza

Since Specialization
Citations

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

Fields of papers citing papers by M. Laza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Laza

This figure shows the co-authorship network connecting the top 25 collaborators of M. Laza. A scholar is included among the top collaborators of M. Laza 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 M. Laza. M. Laza 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 23
2 28
3
SAMARA: A crop model for simulating rice phenotypic plasticity
0
4 18
5 40
6 65
7
Effects of high night temperature on yield and agronomic traits of irrigated rice under field chamber system condition
33
8
Screening rice genetic resources for heat tolerance.
44
9 2
10 33
11 39
12 40
13 146
14 42
15 82
16 3
17 26
18 27
19 94
20 7

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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