Ganesh Thapa

22 total papers · 590 total citations
13 papers, 394 citations indexed

About

Ganesh Thapa is a scholar working on Plant Science, Molecular Biology and Pollution. According to data from OpenAlex, Ganesh Thapa has authored 13 papers receiving a total of 394 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Plant Science, 3 papers in Molecular Biology and 3 papers in Pollution. Recurrent topics in Ganesh Thapa's work include Plant Stress Responses and Tolerance (4 papers), Mycotoxins in Agriculture and Food (4 papers) and Heavy metals in environment (3 papers). Ganesh Thapa is often cited by papers focused on Plant Stress Responses and Tolerance (4 papers), Mycotoxins in Agriculture and Food (4 papers) and Heavy metals in environment (3 papers). Ganesh Thapa collaborates with scholars based in Ireland, India and Netherlands. Ganesh Thapa's co-authors include Lingaraj Sahoo, Sanjib Kumar Panda, Ayan Sadhukhan, Fiona M. Doohan, Lokanadha Rao Gunupuru, Amal Kahla, Mohan Chandra Kalita, Purabi Mazumdar, Anamika Paul and Adreeja Basu and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Biochemical and Biophysical Research Communications.

In The Last Decade

Ganesh Thapa

11 papers receiving 373 citations

Author Peers

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

Author Last Decade Papers Cites
Ganesh Thapa 332 124 46 33 28 13 394
Thomas Etzerodt 171 0.5× 119 1.0× 38 0.8× 35 1.1× 29 1.0× 13 353
Rakesh Yadav 269 0.8× 191 1.5× 22 0.5× 32 1.0× 39 1.4× 22 388
Shafiq ur Rehman 311 0.9× 75 0.6× 23 0.5× 24 0.7× 19 0.7× 10 377
Hongsheng Cai 294 0.9× 161 1.3× 42 0.9× 34 1.0× 12 0.4× 20 377
Chenjie Yu 263 0.8× 114 0.9× 34 0.7× 26 0.8× 21 0.8× 14 356
Gwénäelle Bestel‐Corre 265 0.8× 175 1.4× 26 0.6× 33 1.0× 8 0.3× 9 425
Narges Atabaki 336 1.0× 163 1.3× 18 0.4× 14 0.4× 47 1.7× 15 445
Zhengying Shao 317 1.0× 98 0.8× 48 1.0× 20 0.6× 7 0.3× 8 415
Ameerah Bokhari 244 0.7× 151 1.2× 31 0.7× 21 0.6× 12 0.4× 9 415
Benedetta Saccomanno 183 0.6× 102 0.8× 41 0.9× 9 0.3× 27 1.0× 18 388

Countries citing papers authored by Ganesh Thapa

Since Specialization
Citations

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

Fields of papers citing papers by Ganesh Thapa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ganesh Thapa

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