Neha Vaid

1.2k total citations
23 papers, 817 citations indexed

About

Neha Vaid is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Neha Vaid has authored 23 papers receiving a total of 817 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Plant Science, 14 papers in Molecular Biology and 3 papers in Genetics. Recurrent topics in Neha Vaid's work include Plant Stress Responses and Tolerance (7 papers), Photosynthetic Processes and Mechanisms (5 papers) and Plant Molecular Biology Research (5 papers). Neha Vaid is often cited by papers focused on Plant Stress Responses and Tolerance (7 papers), Photosynthetic Processes and Mechanisms (5 papers) and Plant Molecular Biology Research (5 papers). Neha Vaid collaborates with scholars based in Germany, India and Canada. Neha Vaid's co-authors include Narendra Tuteja, Anca Macovei, Prashant Kumar Pandey, Narendra Tuteja, Marek Mutwil, Suresh Tula, Amita Joshi, Hung Quang Dang, Roosa A. E. Laitinen and Sebastian Proost and has published in prestigious journals such as New Phytologist, The Plant Journal and Trends in Plant Science.

In The Last Decade

Neha Vaid

23 papers receiving 811 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Neha Vaid Germany 15 604 502 81 32 29 23 817
Bin Ma China 11 410 0.7× 329 0.7× 135 1.7× 24 0.8× 25 0.9× 38 702
Sascha Offermann Germany 15 582 1.0× 746 1.5× 49 0.6× 14 0.4× 14 0.5× 28 935
Jianping Guo China 19 890 1.5× 373 0.7× 162 2.0× 20 0.6× 11 0.4× 42 1.1k
Ying‐Fu Zhong China 7 362 0.6× 454 0.9× 91 1.1× 20 0.6× 12 0.4× 7 618
Hangxiao Zhang China 18 426 0.7× 608 1.2× 59 0.7× 48 1.5× 18 0.6× 41 915
Ya-Chen Huang Taiwan 9 404 0.7× 295 0.6× 32 0.4× 19 0.6× 16 0.6× 11 536
Nicholas P. Devitt United States 8 243 0.4× 369 0.7× 47 0.6× 33 1.0× 17 0.6× 11 544
Aliza Finkler Israel 12 678 1.1× 379 0.8× 48 0.6× 8 0.3× 24 0.8× 17 820

Countries citing papers authored by Neha Vaid

Since Specialization
Citations

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

Fields of papers citing papers by Neha Vaid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neha Vaid

This figure shows the co-authorship network connecting the top 25 collaborators of Neha Vaid. A scholar is included among the top collaborators of Neha Vaid 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 Vaid. Neha Vaid 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
1.
Vaid, Neha, Raju Soolanayakanahally, Sateesh Kagale, et al.. (2024). Nutri‐cereal tissue‐specific transcriptome atlas during development: Functional integration of gene expression to identify mineral uptake pathways in little millet (Panicum sumatrense). The Plant Journal. 119(1). 577–594. 4 indexed citations
2.
Bollina, Venkatesh, Raju Soolanayakanahally, Raëd Elferjani, et al.. (2023). Multi‐omics atlas of combinatorial abiotic stress responses in wheat. The Plant Journal. 116(4). 1118–1135. 28 indexed citations
3.
Duarte, Gustavo Turqueto, Prashant Kumar Pandey, Neha Vaid, et al.. (2021). Plasticity of rosette size in response to nitrogen availability is controlled by an RCC1‐family protein. Plant Cell & Environment. 44(10). 3398–3411. 10 indexed citations
4.
Vaid, Neha, et al.. (2020). Leaf chlorosis in Arabidopsis thaliana hybrids is associated with transgenerational decline and imbalanced ribosome number. New Phytologist. 228(3). 989–1000. 4 indexed citations
5.
Quilichini, Teagen D., et al.. (2019). Versatile and multifaceted CRISPR/Cas gene editing tool for plant research. Seminars in Cell and Developmental Biology. 96. 107–114. 10 indexed citations
6.
Vaid, Neha, et al.. (2019). Cytogenetic Analysis of Micronuclei in Tobacco Chewers: A Study in North Indian Population. The Journal of Contemporary Dental Practice. 20(6). 693–693. 2 indexed citations
7.
Pandey, Prashant Kumar, Jing Yu, Nooshin Omranian, et al.. (2019). Plasticity in metabolism underpins local responses to nitrogen in Arabidopsis thaliana populations. Plant Direct. 3(11). e00186–e00186. 10 indexed citations
8.
Vaid, Neha & Roosa A. E. Laitinen. (2018). Diverse paths to hybrid incompatibility in Arabidopsis. The Plant Journal. 97(1). 199–213. 22 indexed citations
9.
Meyer, Etienne H., Camilla Ferrari, Neha Vaid, et al.. (2017). Ensemble gene function prediction database reveals genes important for complex I formation in Arabidopsis thaliana. New Phytologist. 217(4). 1521–1534. 22 indexed citations
10.
Ruprecht, Colin, Neha Vaid, Sebastian Proost, Staffan Persson, & Marek Mutwil. (2017). Beyond Genomics: Studying Evolution with Gene Coexpression Networks. Trends in Plant Science. 22(4). 298–307. 50 indexed citations
11.
Vaid, Neha, Prashant Kumar Pandey, Vineet Srivastava, & Narendra Tuteja. (2015). Pea lectin receptor-like kinase functions in salinity adaptation without yield penalty, by alleviating osmotic and ionic stresses and upregulating stress-responsive genes. Plant Molecular Biology. 88(1-2). 193–206. 53 indexed citations
12.
Garg, Bharti, Neha Vaid, & Narendra Tuteja. (2014). In-silico analysis and expression profiling implicate diverse role of EPSPS family genes in regulating developmental and metabolic processes. BMC Research Notes. 7(1). 58–58. 17 indexed citations
13.
Vaid, Neha, et al.. (2014). Elucidating gene function and function evolution through comparison of co-expression networks of plants. Frontiers in Plant Science. 5. 394–394. 63 indexed citations
14.
Vaid, Neha, Anca Macovei, & Narendra Tuteja. (2013). Knights in Action: Lectin Receptor-Like Kinases in Plant Development and Stress Responses. Molecular Plant. 6(5). 1405–1418. 121 indexed citations
15.
Macovei, Anca, Neha Vaid, Suresh Tula, & Narendra Tuteja. (2012). A new DEAD-box helicase ATP-binding protein (OsABP) from rice is responsive to abiotic stress. Plant Signaling & Behavior. 7(9). 1138–1143. 72 indexed citations
16.
Vaid, Neha, Prashant Kumar Pandey, & Narendra Tuteja. (2012). Genome-wide analysis of lectin receptor-like kinase family from Arabidopsis and rice. Plant Molecular Biology. 80(4-5). 365–388. 115 indexed citations
17.
Trivedi, Dipesh Kumar, Sandep Yadav, Neha Vaid, & Narendra Tuteja. (2012). Genome wide analysis ofCyclophilingene family from rice and Arabidopsis and its comparison with yeast. Plant Signaling & Behavior. 7(12). 1653–1666. 40 indexed citations
18.
Tajrishi, Marjan M., Neha Vaid, Renu Tuteja, & Narendra Tuteja. (2011). Overexpression of a pea DNA helicase 45 in bacteria confers salinity stress tolerance. Plant Signaling & Behavior. 6(9). 1271–1275. 11 indexed citations
19.
Joshi, Amita, Hung Quang Dang, Neha Vaid, & Narendra Tuteja. (2009). Isolation of high salinity stress tolerant genes from Pisum sativum by random overexpression inEscherichia coliand their functional validation. Plant Signaling & Behavior. 4(5). 400–412. 16 indexed citations
20.
Joshi, Amita, Hung Quang Dang, Neha Vaid, & Narendra Tuteja. (2009). Pea lectin receptor-like kinase promotes high salinity stress tolerance in bacteria and expresses in response to stress in planta. Glycoconjugate Journal. 27(1). 133–150. 50 indexed citations

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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