Rashmi Jain

3.5k total citations
32 papers, 890 citations indexed

About

Rashmi Jain is a scholar working on Plant Science, Molecular Biology and Biomaterials. According to data from OpenAlex, Rashmi Jain has authored 32 papers receiving a total of 890 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Plant Science, 11 papers in Molecular Biology and 8 papers in Biomaterials. Recurrent topics in Rashmi Jain's work include Supramolecular Self-Assembly in Materials (8 papers), Plant-Microbe Interactions and Immunity (5 papers) and Plant Pathogenic Bacteria Studies (4 papers). Rashmi Jain is often cited by papers focused on Supramolecular Self-Assembly in Materials (8 papers), Plant-Microbe Interactions and Immunity (5 papers) and Plant Pathogenic Bacteria Studies (4 papers). Rashmi Jain collaborates with scholars based in United States, India and China. Rashmi Jain's co-authors include Sangita Roy, Pamela C. Ronald, Vijay Kumar Pal, Phat Q. Duong, Anna Lipzen, Joel Martin, Jeremy Schmutz, Kerrie Barry, Oliver Xiaoou Dong and Stanislav Mamonov and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

Rashmi Jain

31 papers receiving 865 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rashmi Jain United States 16 435 381 226 100 67 32 890
Lan Luo China 19 368 0.8× 363 1.0× 109 0.5× 36 0.4× 117 1.7× 44 1.3k
Shuang Yang China 15 268 0.6× 123 0.3× 54 0.2× 20 0.2× 60 0.9× 46 676
Hongweon Lee South Korea 20 649 1.5× 64 0.2× 142 0.6× 16 0.2× 48 0.7× 42 1.3k
Tingjun Liu China 18 363 0.8× 52 0.1× 52 0.2× 22 0.2× 86 1.3× 67 897
Yufan Wang China 16 523 1.2× 42 0.1× 110 0.5× 44 0.4× 14 0.2× 59 1.0k
Yun‐Chu Chen Taiwan 16 258 0.6× 346 0.9× 54 0.2× 11 0.1× 13 0.2× 41 946
Xiaoling Xie China 16 839 1.9× 88 0.2× 52 0.2× 134 1.3× 54 0.8× 41 1.2k
I.G. Kamphuis Netherlands 13 469 1.1× 113 0.3× 23 0.1× 66 0.7× 26 0.4× 41 1.3k
Wenli Li China 21 666 1.5× 164 0.4× 16 0.1× 118 1.2× 44 0.7× 65 1.3k
Xiaopei Liu China 11 249 0.6× 111 0.3× 29 0.1× 58 0.6× 20 0.3× 39 463

Countries citing papers authored by Rashmi Jain

Since Specialization
Citations

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

Fields of papers citing papers by Rashmi Jain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rashmi Jain

This figure shows the co-authorship network connecting the top 25 collaborators of Rashmi Jain. A scholar is included among the top collaborators of Rashmi Jain 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 Rashmi Jain. Rashmi Jain 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.
Loupe, Jacob M., Lindsay F. Rizzardi, Iván Rodríguez-Nunez, et al.. (2024). Multiomic profiling of transcription factor binding and function in human brain. Nature Neuroscience. 27(7). 1387–1399. 5 indexed citations
2.
Kaul, Tanushri, et al.. (2024). CRISPR/Cas9-mediated homology donor repair base editing system to confer herbicide resistance in maize (Zea mays L.). Plant Physiology and Biochemistry. 207. 108374–108374. 9 indexed citations
3.
Ercoli, María Florencia, Dee Dee Luu, Ellen Youngsoo Rim, et al.. (2022). Plant immunity: Rice XA21-mediated resistance to bacterial infection. Proceedings of the National Academy of Sciences. 119(8). 22 indexed citations
4.
Ercoli, María Florencia, Rashmi Jain, Oliver Xiaoou Dong, et al.. (2022). An open source plant kinase chemogenomics set. Plant Direct. 6(11). e460–e460. 1 indexed citations
5.
Jain, Rashmi, et al.. (2022). An open system architecture framework for interoperability. International Journal of Business Information Systems. 41(4). 423–423. 1 indexed citations
6.
Taylor, Isaiah, Kevin Lehner, Yasemin Ozkan-Aydin, et al.. (2021). Mechanism and function of root circumnutation. Proceedings of the National Academy of Sciences. 118(8). 56 indexed citations
7.
Johnson, Marina, Rashmi Jain, Ethné Swartz, et al.. (2021). Impact of Big Data and Artificial Intelligence on Industry: Developing a Workforce Roadmap for a Data Driven Economy. Global Journal of Flexible Systems Management. 22(3). 197–217. 81 indexed citations
8.
Dong, Oliver Xiaoou, Shu Yu, Rashmi Jain, et al.. (2020). Marker-free carotenoid-enriched rice generated through targeted gene insertion using CRISPR-Cas9. Nature Communications. 11(1). 1178–1178. 201 indexed citations
9.
Balyan, Sonia, et al.. (2020). Investigation into the miRNA/5' isomiRNAs function and drought-mediated miRNA processing in rice. Functional & Integrative Genomics. 20(4). 509–522. 9 indexed citations
10.
Kaur, Harsimran, Rashmi Jain, & Sangita Roy. (2020). Pathway-Dependent Preferential Selection and Amplification of Variable Self-Assembled Peptide Nanostructures and Their Biological Activities. ACS Applied Materials & Interfaces. 12(47). 52445–52456. 29 indexed citations
11.
Kaul, Tanushri, et al.. (2019). Probing the effect of a plus 1bp frameshift mutation in protein-DNA interface of domestication gene, NAMB1, in wheat. Journal of Biomolecular Structure and Dynamics. 38(12). 3633–3647. 20 indexed citations
12.
Jiang, Liangrong, Guotian Li, Mawsheng Chern, et al.. (2019). Whole-Genome Sequencing Identifies a Rice Grain Shape Mutant, gs9–1. Rice. 12(1). 52–52. 3 indexed citations
13.
Jain, Rashmi & Sangita Roy. (2019). Tuning the gelation behavior of short laminin derived peptides via solvent mediated self-assembly. Materials Science and Engineering C. 108. 110483–110483. 27 indexed citations
14.
Li, Guotian, Rashmi Jain, Mawsheng Chern, et al.. (2017). The Sequences of 1504 Mutants in the Model Rice Variety Kitaake Facilitate Rapid Functional Genomic Studies. The Plant Cell. 29(6). 1218–1231. 109 indexed citations
15.
Zhang, Xue, Rashmi Jain, & Guotian Li. (2016). Roles of Rack1 Proteins in Fungal Pathogenesis. BioMed Research International. 2016. 1–8. 7 indexed citations
16.
Chern, Mawsheng, Qiufang Xu, Rebecca Bart, et al.. (2016). A Genetic Screen Identifies a Requirement for Cysteine-Rich–Receptor-Like Kinases in Rice NH1 (OsNPR1)-Mediated Immunity. PLoS Genetics. 12(5). e1006049–e1006049. 40 indexed citations
17.
Mamonov, Stanislav, et al.. (2015). Business Analytics in Practice and in Education: A Competency-based Perspective. Information Systems Education Journal. 13(1). 4–13. 14 indexed citations
18.
Jung, Ki‐Hong, Peijian Cao, Rita Sharma, Rashmi Jain, & Pamela C. Ronald. (2015). Phylogenomics databases for facilitating functional genomics in rice. Rice. 8(1). 60–60. 9 indexed citations
19.
Garg, Priyanka, et al.. (2013). Manually curated database of rice proteins. Nucleic Acids Research. 42(D1). D1214–D1221. 16 indexed citations
20.
Bhojak, N., et al.. (2005). Characterization of Some Pr (Iii) Complexes of Semicarbazones on the Basis of Electronic Spectral Parameters. Oriental Journal Of Chemistry. 21(2). 2 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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