Jai S. Rohila

2.5k total citations
39 papers, 1.8k citations indexed

About

Jai S. Rohila is a scholar working on Plant Science, Molecular Biology and Soil Science. According to data from OpenAlex, Jai S. Rohila has authored 39 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Plant Science, 18 papers in Molecular Biology and 5 papers in Soil Science. Recurrent topics in Jai S. Rohila's work include Rice Cultivation and Yield Improvement (10 papers), Plant responses to water stress (7 papers) and Plant Stress Responses and Tolerance (6 papers). Jai S. Rohila is often cited by papers focused on Rice Cultivation and Yield Improvement (10 papers), Plant responses to water stress (7 papers) and Plant Stress Responses and Tolerance (6 papers). Jai S. Rohila collaborates with scholars based in United States, Egypt and Japan. Jai S. Rohila's co-authors include Paul J. Rushton, Aayudh Das, Ronald L. Cerny, Michael Fromm, Yinong Yang, Mei Chen, Ray Wü, Rajinder K. Jain, Anna M. McClung and R. Neil Reese and has published in prestigious journals such as PLoS ONE, Geochimica et Cosmochimica Acta and The Science of The Total Environment.

In The Last Decade

Jai S. Rohila

39 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jai S. Rohila United States 23 1.2k 801 148 134 90 39 1.8k
Katherine Louie United States 20 1.3k 1.0× 861 1.1× 396 2.7× 141 1.1× 43 0.5× 41 2.4k
Richard P. Jacoby Australia 21 1.7k 1.4× 1.0k 1.3× 320 2.2× 104 0.8× 74 0.8× 31 2.6k
Anna Rita Paolacci Italy 24 1.4k 1.1× 723 0.9× 51 0.3× 89 0.7× 72 0.8× 51 1.8k
Ladaslav Sodek Brazil 28 2.4k 1.9× 665 0.8× 165 1.1× 143 1.1× 111 1.2× 86 2.9k
Mario Ciaffi Italy 28 2.0k 1.6× 761 1.0× 60 0.4× 263 2.0× 147 1.6× 70 2.5k
Concepción Ávila Spain 31 1.8k 1.5× 1.2k 1.5× 91 0.6× 99 0.7× 104 1.2× 89 2.4k
Sandeep Sharma India 22 1.8k 1.4× 624 0.8× 81 0.5× 96 0.7× 99 1.1× 52 2.1k

Countries citing papers authored by Jai S. Rohila

Since Specialization
Citations

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

Fields of papers citing papers by Jai S. Rohila

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jai S. Rohila. 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 Jai S. Rohila. The network helps show where Jai S. Rohila may publish in the future.

Co-authorship network of co-authors of Jai S. Rohila

This figure shows the co-authorship network connecting the top 25 collaborators of Jai S. Rohila. A scholar is included among the top collaborators of Jai S. Rohila 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 Jai S. Rohila. Jai S. Rohila 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.
Rohila, Jai S., et al.. (2023). Effects of alternate wetting and drying on oxyanion-forming and cationic trace elements in rice paddy soils: impacts on arsenic, cadmium, and micronutrients in rice. Environmental Geochemistry and Health. 45(11). 8135–8151. 7 indexed citations
2.
Zargar, Sajad Majeed, Rakeeb Ahmad Mir, Leonard Barnabas Ebinezer, et al.. (2022). Physiological and Multi-Omics Approaches for Explaining Drought Stress Tolerance and Supporting Sustainable Production of Rice. Frontiers in Plant Science. 12. 803603–803603. 35 indexed citations
3.
Zheng, Wei, et al.. (2021). Multiplex Genome-Editing Technologies for Revolutionizing Plant Biology and Crop Improvement. Frontiers in Plant Science. 12. 721203–721203. 59 indexed citations
4.
Tappero, Ryan, et al.. (2020). Influence of manganese abundances on iron and arsenic solubility in rice paddy soils. Geochimica et Cosmochimica Acta. 276. 50–69. 70 indexed citations
5.
Gealy, David R., Jai S. Rohila, & Deborah L. Boykin. (2019). Genetic potential of rice under alternate-wetting-and-drying irrigation management for barnyardgrass (Echinochloa crus-galli) suppression and grain yield production. Weed Science. 67(4). 453–462. 9 indexed citations
6.
Rohila, Jai S., et al.. (2019). Identification of Superior Alleles for Seedling Stage Salt Tolerance in the USDA Rice Mini-Core Collection. Plants. 8(11). 472–472. 23 indexed citations
7.
Das, Aayudh, et al.. (2018). A Quantitative Proteomics View on the Function of Qfhb1, a Major QTL for Fusarium Head Blight Resistance in Wheat. Pathogens. 7(3). 58–58. 12 indexed citations
8.
Das, Aayudh, Paul J. Rushton, & Jai S. Rohila. (2017). Metabolomic Profiling of Soybeans (Glycine max L.) Reveals the Importance of Sugar and Nitrogen Metabolism under Drought and Heat Stress. Plants. 6(2). 21–21. 170 indexed citations
10.
Das, Aayudh, Arvid Boe, Nathan A. Palmer, et al.. (2016). Proteomic Responses of Switchgrass and Prairie Cordgrass to Senescence. Frontiers in Plant Science. 7. 293–293. 9 indexed citations
11.
Das, Aayudh, et al.. (2016). Leaf Proteome Analysis Reveals Prospective Drought and Heat Stress Response Mechanisms in Soybean. BioMed Research International. 2016. 1–23. 106 indexed citations
12.
Tripathi, Prateek, Roel Rabara, R. Neil Reese, et al.. (2016). A toolbox of genes, proteins, metabolites and promoters for improving drought tolerance in soybean includes the metabolite coumestrol and stomatal development genes. BMC Genomics. 17(1). 102–102. 85 indexed citations
13.
Gupta, Dinesh, et al.. (2014). Biochemical analysis of ‘kerosene tree’Hymenaea courbarilL. under heat stress. Plant Signaling & Behavior. 9(10). e972851–e972851. 10 indexed citations
14.
Gaffoor, Iffa, et al.. (2013). Comparative proteomics analysis by DIGE and iTRAQ provides insight into the regulation of phenylpropanoids in maize. Journal of Proteomics. 93. 254–275. 29 indexed citations
15.
Rohila, Jai S., et al.. (2013). Proteomics: a biotechnology tool for crop improvement. Frontiers in Plant Science. 4. 35–35. 65 indexed citations
16.
Tripathi, Prateek, Roel Rabara, Charles I. Rinerson, et al.. (2012). The WRKY transcription factor family in Brachypodium distachyon. BMC Genomics. 13(1). 270–270. 75 indexed citations
17.
Rohila, Jai S., Mei Chen, Ronald L. Cerny, et al.. (2009). Protein-Protein Interactions of Tandem Affinity Purified Protein Kinases from Rice. PLoS ONE. 4(8). e6685–e6685. 29 indexed citations
18.
Rohila, Jai S., Mei Chen, Shawn Chen, et al.. (2006). Protein–protein interactions of tandem affinity purification‐tagged protein kinases in rice. The Plant Journal. 46(1). 1–13. 115 indexed citations
19.
Rohila, Jai S., Mei Chen, Ronald L. Cerny, & Michael Fromm. (2004). Improved tandem affinity purification tag and methods for isolation of protein heterocomplexes from plants. The Plant Journal. 38(1). 172–181. 185 indexed citations
20.
Jain, R. K., et al.. (2000). Production of agronomically superior transgenic rice plants using Agrobacterium transformation methods: present status and future perspectives.. Current Science. 79(7). 954–960. 20 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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