Neha Singh

33 total papers · 556 total citations
19 papers, 406 citations indexed

About

Neha Singh is a scholar working on Plant Science, Molecular Biology and Biochemistry. According to data from OpenAlex, Neha Singh has authored 19 papers receiving a total of 406 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Plant Science, 5 papers in Molecular Biology and 3 papers in Biochemistry. Recurrent topics in Neha Singh's work include Wheat and Barley Genetics and Pathology (2 papers), Rice Cultivation and Yield Improvement (2 papers) and Genetics and Plant Breeding (2 papers). Neha Singh is often cited by papers focused on Wheat and Barley Genetics and Pathology (2 papers), Rice Cultivation and Yield Improvement (2 papers) and Genetics and Plant Breeding (2 papers). Neha Singh collaborates with scholars based in India. Neha Singh's co-authors include Salman A. Khan, Kishwar Saleem, Ajay Kumar Singh Rawat, M. K. Singh, P. B. Khare, Neelam S. Sangwan, Shilpi Bansal, R. S. Sangwan, Lokesh Kumar Narnoliya and Jyoti Singh Jadaun and has published in prestigious journals such as Journal of Ethnopharmacology, European Journal of Medicinal Chemistry and Physiologia Plantarum.

In The Last Decade

Neha Singh

18 papers receiving 385 citations

Author Peers

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

Author Last Decade Papers Cites
Neha Singh 203 140 56 54 39 19 406
Zhong Wang 157 0.8× 245 1.8× 25 0.4× 41 0.8× 35 0.9× 30 490
R.T.V. Vimala 256 1.3× 92 0.7× 51 0.9× 54 1.0× 15 0.4× 24 495
K. Kawazu 186 0.9× 125 0.9× 79 1.4× 64 1.2× 13 0.3× 13 408
Long Li 128 0.6× 152 1.1× 67 1.2× 29 0.5× 10 0.3× 21 471
Urmil J. Mehta 154 0.8× 145 1.0× 72 1.3× 77 1.4× 18 0.5× 22 374
S.R. Aravind 110 0.5× 139 1.0× 53 0.9× 23 0.4× 19 0.5× 16 486
Sang-Hyun Lim 147 0.7× 101 0.7× 98 1.8× 36 0.7× 13 0.3× 37 438
Atiyeh Mahdavi 136 0.7× 150 1.1× 49 0.9× 49 0.9× 11 0.3× 27 434
Y. MURAKAMI 167 0.8× 253 1.8× 55 1.0× 68 1.3× 19 0.5× 27 445
Dušica Ilić 224 1.1× 127 0.9× 182 3.3× 35 0.6× 30 0.8× 32 484

Countries citing papers authored by Neha Singh

Since Specialization
Citations

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

Fields of papers citing papers by Neha Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neha Singh

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