Ashish Ranjan

923 total citations
35 papers, 644 citations indexed

About

Ashish Ranjan is a scholar working on Plant Science, Molecular Biology and Agronomy and Crop Science. According to data from OpenAlex, Ashish Ranjan has authored 35 papers receiving a total of 644 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Plant Science, 10 papers in Molecular Biology and 7 papers in Agronomy and Crop Science. Recurrent topics in Ashish Ranjan's work include Plant-Microbe Interactions and Immunity (9 papers), Plant pathogens and resistance mechanisms (8 papers) and Genetic and phenotypic traits in livestock (5 papers). Ashish Ranjan is often cited by papers focused on Plant-Microbe Interactions and Immunity (9 papers), Plant pathogens and resistance mechanisms (8 papers) and Genetic and phenotypic traits in livestock (5 papers). Ashish Ranjan collaborates with scholars based in India, United States and Germany. Ashish Ranjan's co-authors include Damon L. Smith, Mehdi Kabbage, C. R. Grau, Ramesh V. Sonti, Hitendra Kumar Patel, Sachin Jain, Nathaniel Westrick, Jeff S. Piotrowski, Shawn P. Conley and Mahesh Gupta and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and PLANT PHYSIOLOGY.

In The Last Decade

Ashish Ranjan

31 papers receiving 639 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ashish Ranjan India 13 496 181 62 53 38 35 644
C. de F. Fernandes Brazil 13 329 0.7× 127 0.7× 84 1.4× 33 0.6× 55 1.4× 69 503
Dimosthenis Kizis Greece 12 617 1.2× 367 2.0× 105 1.7× 17 0.3× 24 0.6× 20 765
Diwaker Tripathi United States 14 531 1.1× 183 1.0× 53 0.9× 34 0.6× 34 0.9× 32 654
Nazish Roy South Korea 11 701 1.4× 192 1.1× 139 2.2× 19 0.4× 17 0.4× 17 851
Yongju Xu China 13 712 1.4× 298 1.6× 44 0.7× 27 0.5× 29 0.8× 19 816
Clara I. González‐Verdejo Spain 14 525 1.1× 423 2.3× 98 1.6× 73 1.4× 29 0.8× 24 833
Yongting Yu China 16 489 1.0× 252 1.4× 75 1.2× 34 0.6× 42 1.1× 30 609
Malali Gowda India 16 560 1.1× 507 2.8× 77 1.2× 27 0.5× 182 4.8× 28 819
Tomonori Fujioka Japan 11 333 0.7× 386 2.1× 52 0.8× 17 0.3× 83 2.2× 16 637
Kihyuck Choi South Korea 12 825 1.7× 234 1.3× 174 2.8× 20 0.4× 21 0.6× 29 979

Countries citing papers authored by Ashish Ranjan

Since Specialization
Citations

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

Fields of papers citing papers by Ashish Ranjan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ashish Ranjan

This figure shows the co-authorship network connecting the top 25 collaborators of Ashish Ranjan. A scholar is included among the top collaborators of Ashish Ranjan 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 Ashish Ranjan. Ashish Ranjan 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.
Ranjan, Ashish, et al.. (2025). Comparative insights into soybean and other oilseed crops’ defense mechanisms against Sclerotinia sclerotiorum. Frontiers in Plant Science. 16. 1616824–1616824.
2.
Jha, Ankita, et al.. (2024). Characterization for Qualitative Traits in Segregating Population of Faba Bean (Vicia faba L.). Journal of Scientific Research and Reports. 30(8). 242–250.
3.
Ranjan, Ashish, et al.. (2023). Cascabela thevetia: Practical Approach Towards its Antimicrobial Activity. Acta Scientific Agriculture. 7(5). 44–46. 1 indexed citations
4.
Ohnuki, Shinsuke, Kaori Itto‐Nakama, Fachuang Lu, et al.. (2022). High-throughput platform for yeast morphological profiling predicts the targets of bioactive compounds. npj Systems Biology and Applications. 8(1). 3–3. 7 indexed citations
5.
Joshi, Pooja, G. R. Gowane, Rani Alex, et al.. (2022). Estimation of genetic parameters of growth traits for direct and maternal effects in Murrah buffalo. Tropical Animal Health and Production. 54(6). 352–352. 3 indexed citations
6.
Shao, Dandan, Ashish Ranjan, Steven A. Whitham, et al.. (2021). Host-Induced Gene Silencing of a Sclerotinia sclerotiorum oxaloacetate acetylhydrolase Using Bean Pod Mottle Virus as a Vehicle Reduces Disease on Soybean. Frontiers in Plant Science. 12. 677631–677631. 26 indexed citations
7.
Khokhani, Devanshi, et al.. (2021). Genomic diversity and organization of complex polysaccharide biosynthesis clusters in the genus Dickeya. PLoS ONE. 16(2). e0245727–e0245727. 8 indexed citations
8.
Ranjan, Ashish, et al.. (2020). Dual Activities of Receptor-Like Kinase OsWAKL21.2 Induce Immune Responses. PLANT PHYSIOLOGY. 183(3). 1345–1363. 25 indexed citations
9.
Ganguly, Indrajit, Sanjeev Singh, S. P. Dixit, et al.. (2020). Y-chromosome genetic diversity of Bos indicus cattle in close proximity to the centre of domestication. Scientific Reports. 10(1). 9992–9992. 6 indexed citations
10.
Singh, A. K., et al.. (2019). Physico-chemical characterization of soils of Bairia block of district Ballia, Uttar Pradesh. Journal of Pharmacognosy and Phytochemistry. 8(2). 1445–1448. 1 indexed citations
12.
Westrick, Nathaniel, Ashish Ranjan, Sachin Jain, et al.. (2019). Gene regulation of Sclerotinia sclerotiorum during infection of Glycine max: on the road to pathogenesis. BMC Genomics. 20(1). 157–157. 40 indexed citations
13.
Singh, Arti, Jiaoping Zhang, Mehdi Kabbage, et al.. (2017). Main and epistatic loci studies in soybean for Sclerotinia sclerotiorum resistance reveal multiple modes of resistance in multi-environments. Scientific Reports. 7(1). 55 indexed citations
14.
Ranjan, Ashish, Dhileepkumar Jayaraman, C. R. Grau, et al.. (2017). The pathogenic development of Sclerotinia sclerotiorum in soybean requires specific host NADPH oxidases. Molecular Plant Pathology. 19(3). 700–714. 58 indexed citations
15.
Willbur, Jaime F., Ashish Ranjan, C. R. Grau, et al.. (2017). Development and Evaluation of Glycine max Germplasm Lines with Quantitative Resistance to Sclerotinia sclerotiorum. Frontiers in Plant Science. 8. 1495–1495. 36 indexed citations
16.
Ranjan, Ashish & Devanshi Khokhani. (2017). Scope and Importance of Plant Biotechnology in Crop Improvement. 27–44.
17.
Ranjan, Ashish, Jyothilakshmi Vadassery, Hitendra Kumar Patel, et al.. (2014). Upregulation of jasmonate biosynthesis and jasmonate-responsive genes in rice leaves in response to a bacterial pathogen mimic. Functional & Integrative Genomics. 15(3). 363–373. 31 indexed citations
18.
Kant, Kamal, et al.. (2013). Effect of boron, zinc and their combinations on the yield of cauliflower (Brassica oleracea var. Botrytis Linn.) hybrid cultivar - Himani.. THE ASIAN JOURNAL OF HORTICULTURE. 8(1). 238–240. 7 indexed citations
20.
Liskovykh, Mikhail, Ashish Ranjan, Elena Popova, et al.. (2011). Derivation, Characterization, and Stable Transfection of Induced Pluripotent Stem Cells from Fischer344 Rats. PLoS ONE. 6(11). e27345–e27345. 22 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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