Sushil Thapa

37 total papers · 548 total citations
24 papers, 399 citations indexed

About

Sushil Thapa is a scholar working on Plant Science, Agronomy and Crop Science and Soil Science. According to data from OpenAlex, Sushil Thapa has authored 24 papers receiving a total of 399 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Plant Science, 12 papers in Agronomy and Crop Science and 11 papers in Soil Science. Recurrent topics in Sushil Thapa's work include Crop Yield and Soil Fertility (11 papers), Plant Water Relations and Carbon Dynamics (8 papers) and Irrigation Practices and Water Management (8 papers). Sushil Thapa is often cited by papers focused on Crop Yield and Soil Fertility (11 papers), Plant Water Relations and Carbon Dynamics (8 papers) and Irrigation Practices and Water Management (8 papers). Sushil Thapa collaborates with scholars based in United States, China and Netherlands. Sushil Thapa's co-authors include Qingwu Xue, Kirk E. Jessup, Ravindra N. Devkota, Jackie C. Rudd, Shuyu Liu, Jason A. Baker, Bob Stewart, Shannon Baker, Gautam P. Pradhan and J. Robert Mahan and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Sustainability.

In The Last Decade

Sushil Thapa

22 papers receiving 379 citations

Author Peers

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

Author Last Decade Papers Cites
Sushil Thapa 298 150 124 82 54 24 399
Fangfang Xing 242 0.8× 114 0.8× 143 1.2× 52 0.6× 34 0.6× 23 359
H.D.J. van Heemst 233 0.8× 121 0.8× 94 0.8× 64 0.8× 71 1.3× 24 395
Jessica A. Torrion 327 1.1× 178 1.2× 152 1.2× 36 0.4× 94 1.7× 27 436
GG Johns 200 0.7× 109 0.7× 103 0.8× 68 0.8× 28 0.5× 32 395
Chen Yu-hai 209 0.7× 137 0.9× 172 1.4× 91 1.1× 52 1.0× 20 348
Rogério de Souza Nóia Júnior 282 0.9× 109 0.7× 104 0.8× 90 1.1× 140 2.6× 39 433
Nobuhito Sekiya 276 0.9× 85 0.6× 117 0.9× 116 1.4× 39 0.7× 35 406
Zongzheng Yan 279 0.9× 94 0.6× 104 0.8× 68 0.8× 54 1.0× 13 387
Xiangcheng Ma 278 0.9× 146 1.0× 289 2.3× 114 1.4× 31 0.6× 16 411
Rebecca Zengeni 237 0.8× 132 0.9× 135 1.1× 48 0.6× 34 0.6× 32 404

Countries citing papers authored by Sushil Thapa

Since Specialization
Citations

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

Fields of papers citing papers by Sushil Thapa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sushil Thapa

This figure shows the co-authorship network connecting the top 25 collaborators of Sushil Thapa. A scholar is included among the top collaborators of Sushil Thapa 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 Sushil Thapa. Sushil Thapa 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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