Deepak Sharma

824 total citations
65 papers, 547 citations indexed

About

Deepak Sharma is a scholar working on Plant Science, Genetics and Surgery. According to data from OpenAlex, Deepak Sharma has authored 65 papers receiving a total of 547 indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Plant Science, 11 papers in Genetics and 7 papers in Surgery. Recurrent topics in Deepak Sharma's work include Rice Cultivation and Yield Improvement (28 papers), GABA and Rice Research (20 papers) and Genetics and Plant Breeding (19 papers). Deepak Sharma is often cited by papers focused on Rice Cultivation and Yield Improvement (28 papers), GABA and Rice Research (20 papers) and Genetics and Plant Breeding (19 papers). Deepak Sharma collaborates with scholars based in India, United Kingdom and Austria. Deepak Sharma's co-authors include Girish Chandel, Parmeshwar K. Sahu, Suvendu Mondal, Bikram Das, Kumkum Gupta, Rakesh Kumar Meena, Vinay Kumar, Gulzar S. Sanghera, Vikash Kumar and P.J. Weston and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Diabetologia.

In The Last Decade

Deepak Sharma

56 papers receiving 508 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Deepak Sharma India 13 342 102 81 67 57 65 547
Xiaoshuang Song China 8 238 0.7× 20 0.2× 70 0.9× 40 0.6× 13 0.2× 18 450
Satveer Kaur India 12 251 0.7× 29 0.3× 188 2.3× 8 0.1× 30 0.5× 28 589
SAEB A. HAFEZ Egypt 8 169 0.5× 14 0.1× 86 1.1× 48 0.7× 13 0.2× 17 351
Rajkumar India 9 112 0.3× 6 0.1× 50 0.6× 22 0.3× 30 0.5× 58 341
Biao Li China 6 265 0.8× 17 0.2× 39 0.5× 25 0.4× 9 0.2× 11 359
K. Nath India 10 168 0.5× 47 0.5× 19 0.2× 31 0.5× 6 0.1× 32 324
Abdul Majid Pakistan 8 100 0.3× 15 0.1× 82 1.0× 17 0.3× 22 0.4× 52 312
Spenser Reed United States 11 252 0.7× 25 0.2× 142 1.8× 20 0.3× 13 0.2× 13 597
Guoying Ma United States 9 205 0.6× 31 0.3× 34 0.4× 26 0.4× 7 0.1× 26 297
Chen Wei China 11 55 0.2× 45 0.4× 70 0.9× 9 0.1× 21 0.4× 26 370

Countries citing papers authored by Deepak Sharma

Since Specialization
Citations

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

Fields of papers citing papers by Deepak Sharma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deepak Sharma

This figure shows the co-authorship network connecting the top 25 collaborators of Deepak Sharma. A scholar is included among the top collaborators of Deepak Sharma 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 Deepak Sharma. Deepak Sharma 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.
Sahu, Parmeshwar K., Devendra Kumar Choudhary, Vinay Kumar, et al.. (2022). Advancement in the Breeding, Biotechnological and Genomic Tools towards Development of Durable Genetic Resistance against the Rice Blast Disease. Plants. 11(18). 2386–2386. 36 indexed citations
3.
Sharma, Deepak, et al.. (2020). Fractional Extraction, isolation and identification of biologically active compounds from Melaleuca leucadendron L. to control the vectors of dengue and filariasis. Journal of Pharmacognosy and Phytochemistry. 9(2). 68–72. 2 indexed citations
4.
Sahu, Parmeshwar K., et al.. (2020). Genetic insights into fatty acid components of traditional Indian rice (Oryza sativa L.) landraces from Chhattisgarh. Indian Journal of Genetics and Plant Breeding (The). 79(4). 1 indexed citations
5.
Sharma, Deepak, et al.. (2019). Effects of gamma radiation on germination and growth characteristics of spine gourd (Momordica dioica Roxb.). Vegetable Science. 46(1&2). 120–122. 3 indexed citations
6.
Sahu, Parmeshwar K., et al.. (2017). InDel marker based genetic differentiation and genetic diversity in traditional rice (Oryza sativa L.) landraces of Chhattisgarh, India. PLoS ONE. 12(11). e0188864–e0188864. 18 indexed citations
7.
Sharma, Deepak, et al.. (2017). Exploration of combining ability for yield and morpholo-physical traits in hybrid rice (Oryza sativa L.). Journal of Pharmacognosy and Phytochemistry. 6. 644–648. 1 indexed citations
8.
Verma, Sunil Kumar, et al.. (2015). Identification of molecular markers for fertility restoration genes in rice (Oryza sativa L.). BIOINFOLET - A Quarterly Journal of Life Sciences. 12. 227–231.
9.
Sharma, Deepak, et al.. (2015). Assessment of genetic parameters for various quantitative and qualitative traits in hybrid rice (Oryza sativa L.).. International journal of tropical agriculture. 33(1). 97–102. 3 indexed citations
10.
Sahu, Parmeshwar K., et al.. (2015). Gene action and combining ability analyses to develop NPT based rice hybrids in Chhattisgarh plains. Electronic Journal of Plant Breeding. 6(2). 366–372. 2 indexed citations
11.
Sharma, Deepak, et al.. (2014). Collection and conservation of extinct land races of rice from Raigarh district of Chhattisgarh. Recent Research in Science and Technology. 6(1). 111–112. 2 indexed citations
12.
Sahu, Parmeshwar K., et al.. (2014). Identification of Restorers and Maintainers for Development of Rice Hybrids using WA and Kalinga sources of CMS lines. Electronic Journal of Plant Breeding. 5(4). 752–755. 3 indexed citations
13.
Sharma, Deepak, et al.. (2012). Identification of maintainers and restorers for WA and Kalinga sources of CMS lines in rice (Oryza sativa L.).. Electronic Journal of Plant Breeding. 3(4). 949–951. 7 indexed citations
14.
Sharma, Deepak, et al.. (2012). Identification of restorers and maintainers in new plant type lines of rice for developing super rice hybrid.. Journal of Soils and Crops. 22(2). 240–245.
15.
Sharma, Deepak, et al.. (2011). Studies on heterosis for grain yield and its component traits for developing new plant type hybrids in rice (Oryza sativa L.).. Electronic Journal of Plant Breeding. 2(4). 543–548. 5 indexed citations
16.
Sharma, Deepak, et al.. (2010). Heterosis studies for yield and physiological traits in rice hybrids under shallow low land condition. Electronic Journal of Plant Breeding. 1(6). 1464–1467. 3 indexed citations
17.
Sharma, Deepak, et al.. (2010). Identification of restorers and maintainers for CMS lines of rice (Oryza sativa L.) under shallow low land condition.. Electronic Journal of Plant Breeding. 1(3). 311–314. 7 indexed citations
18.
Sharma, Deepak, et al.. (2010). Use of in silico and semiquantitative RT-PCR approaches to develop nutrient rich rice ( Oryza sativa L.). Indian Journal of Biotechnology. 9(2). 203–212. 27 indexed citations
19.
Sharma, Deepak & Kuldeep Dhama. (2007). Genetic polymorphism between guinea fowl lines with high and low antibody response to sheep red blood cells using randomly amplified polymorphic DNA (RAPD) markers. Indian Journal of Comparative Microbiology Immunology and Infectious Diseases. 28. 45–47. 5 indexed citations
20.
Haunshi, Santosh & Deepak Sharma. (2006). Prediction of parental genomic proportion in chicken population using microsatellite markers. The Indian Journal of Animal Sciences. 76(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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