N. Subash

59 total papers · 1.4k total citations
37 papers, 827 citations indexed

About

N. Subash is a scholar working on Ecology, Evolution, Behavior and Systematics, Global and Planetary Change and Plant Science. According to data from OpenAlex, N. Subash has authored 37 papers receiving a total of 827 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Ecology, Evolution, Behavior and Systematics, 18 papers in Global and Planetary Change and 17 papers in Plant Science. Recurrent topics in N. Subash's work include Climate change impacts on agriculture (18 papers), Rice Cultivation and Yield Improvement (16 papers) and Hydrology and Drought Analysis (14 papers). N. Subash is often cited by papers focused on Climate change impacts on agriculture (18 papers), Rice Cultivation and Yield Improvement (16 papers) and Hydrology and Drought Analysis (14 papers). N. Subash collaborates with scholars based in India, United States and Brazil. N. Subash's co-authors include A. K. Sikka, Shalini Singh, Abdul Haris, D. Subrahmanyam, B. Gangwar, Alencar Júnior Zanon, Shaobing Peng, Tao Li, Kenneth G. Cassman and Vina Eka Aristya and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Agricultural and Forest Meteorology.

In The Last Decade

N. Subash

35 papers receiving 795 citations

Hit Papers

Sustainable intensificati... 2021 2026 2022 2024 2021 50 100 150 200

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
N. Subash 381 318 282 134 125 37 827
R. B. Curry 312 0.8× 428 1.3× 270 1.0× 163 1.2× 101 0.8× 36 850
Thomas M. Osborne 405 1.1× 219 0.7× 261 0.9× 98 0.7× 151 1.2× 31 863
Yasushi Ishigooka 360 0.9× 339 1.1× 353 1.3× 122 0.9× 143 1.1× 49 832
Benoı̂t Sarr 428 1.1× 286 0.9× 383 1.4× 156 1.2× 191 1.5× 30 913
Meetpal S. Kukal 348 0.9× 358 1.1× 288 1.0× 235 1.8× 73 0.6× 47 868
W. Baier 466 1.2× 211 0.7× 234 0.8× 234 1.7× 104 0.8× 28 939
Davide Fumagalli 248 0.7× 422 1.3× 381 1.4× 138 1.0× 59 0.5× 25 833
Gianni Bellocchi 212 0.6× 311 1.0× 202 0.7× 132 1.0× 49 0.4× 40 791
Sebastian Gayler 418 1.1× 381 1.2× 235 0.8× 213 1.6× 143 1.1× 51 1.0k
Carlos Gregorio Hernández Díaz‐Ambrona 275 0.7× 300 0.9× 300 1.1× 112 0.8× 42 0.3× 42 769

Countries citing papers authored by N. Subash

Since Specialization
Citations

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

Fields of papers citing papers by N. Subash

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of N. Subash

This figure shows the co-authorship network connecting the top 25 collaborators of N. Subash. A scholar is included among the top collaborators of N. Subash 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 N. Subash. N. Subash is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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