Shilpi Kumari

587 total citations
25 papers, 411 citations indexed

About

Shilpi Kumari is a scholar working on Plant Science, Ecology and Agronomy and Crop Science. According to data from OpenAlex, Shilpi Kumari has authored 25 papers receiving a total of 411 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Plant Science, 4 papers in Ecology and 4 papers in Agronomy and Crop Science. Recurrent topics in Shilpi Kumari's work include Agriculture Sustainability and Environmental Impact (4 papers), Cocoa and Sweet Potato Agronomy (3 papers) and Advances in Cucurbitaceae Research (3 papers). Shilpi Kumari is often cited by papers focused on Agriculture Sustainability and Environmental Impact (4 papers), Cocoa and Sweet Potato Agronomy (3 papers) and Advances in Cucurbitaceae Research (3 papers). Shilpi Kumari collaborates with scholars based in India, United States and Nepal. Shilpi Kumari's co-authors include Moonmoon Hiloidhari, D.C. Baruah, T. V. Ramachandra, R.P. Dahiya, Indu Shekhar Thakur, Anoop Singh, Sampriti Kataki, Kristina Medhi, Bryan M. Jenkins and Moni Kumari and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Bioresource Technology.

In The Last Decade

Shilpi Kumari

21 papers receiving 399 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shilpi Kumari India 10 97 91 80 64 63 25 411
Heidi L. Sieverding United States 14 100 1.0× 159 1.7× 66 0.8× 42 0.7× 85 1.3× 32 507
M. Hussain Pakistan 14 69 0.7× 94 1.0× 151 1.9× 68 1.1× 62 1.0× 55 587
Jukka Höhn Finland 5 59 0.6× 60 0.7× 52 0.7× 51 0.8× 55 0.9× 8 324
Oludunsin Arodudu Netherlands 9 93 1.0× 106 1.2× 24 0.3× 48 0.8× 51 0.8× 13 291
Hannu Mikkola Finland 11 67 0.7× 113 1.2× 56 0.7× 42 0.7× 132 2.1× 39 396
Anna Rita Bernadette Cammerino Italy 7 88 0.9× 85 0.9× 40 0.5× 42 0.7× 40 0.6× 19 309
Collins Okello Uganda 11 77 0.8× 92 1.0× 33 0.4× 139 2.2× 47 0.7× 19 448
Dominik Rutz Germany 9 140 1.4× 75 0.8× 30 0.4× 63 1.0× 34 0.5× 32 386
Robert Borek Poland 10 62 0.6× 103 1.1× 68 0.8× 29 0.5× 137 2.2× 18 427
Thiago Libório Romanelli Brazil 14 134 1.4× 187 2.1× 150 1.9× 67 1.0× 150 2.4× 47 607

Countries citing papers authored by Shilpi Kumari

Since Specialization
Citations

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

Fields of papers citing papers by Shilpi Kumari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shilpi Kumari

This figure shows the co-authorship network connecting the top 25 collaborators of Shilpi Kumari. A scholar is included among the top collaborators of Shilpi Kumari 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 Shilpi Kumari. Shilpi Kumari 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.
2.
Muthukumar, P., Gograj Singh Jat, Pritam Kalia, et al.. (2023). Screening and validation of Ty-1, Ty-3 and Ty-3a specific markers in Solanum chilense accessions for resistance to tomato leaf curl virus. Genetic Resources and Crop Evolution. 70(8). 2567–2574. 1 indexed citations
3.
Mallikarjunaswamy, S, et al.. (2023). Assessment and Prediction of Air Quality Level Using ARIMA Model: A Case Study of Surat City, Gujarat State, India. SHILAP Revista de lepidopterología. 22(1). 199–210. 31 indexed citations
4.
Kumari, Shilpi, et al.. (2023). A Pilot Study on Blood Components in COVID-19 Affected Subjects: A Correlation to UPR Signalling and ER-Stress. Indian Journal of Clinical Biochemistry. 38(3). 374–384.
5.
Kumari, Shilpi, et al.. (2023). Alleviation of arsenic-induced neurobehavioral defects with selenium in the larvae of Zaprionus indianus. Naunyn-Schmiedeberg s Archives of Pharmacology. 397(4). 2121–2132. 1 indexed citations
6.
Muthukumar, P., Gograj Singh Jat, Pritam Kalia, et al.. (2023). Morphological characterization and screening of Solanum habrochaites accessions for late blight (Phytophthora infestans) disease resistance. Genetic Resources and Crop Evolution. 71(4). 1369–1377. 1 indexed citations
7.
Behera, Tusar Kanti, et al.. (2022). Deriving stable tropical gynoecious inbred lines of slicing cucumber from American pickling cucumber using MABB. Horticulture Environment and Biotechnology. 63(2). 263–274. 11 indexed citations
8.
Mishra, Arti, Shilpi Kumari, Sakshi Singh, et al.. (2022). Deploying a microbial consortium of Serendipita indica, Rhizophagus intraradices, and Azotobacter chroococcum to boost drought tolerance in maize. Environmental and Experimental Botany. 206. 105142–105142. 32 indexed citations
9.
Venkatesh, U, Pranav Ish, Shilpi Kumari, Nitesh Gupta, & Akash Sharma. (2021). Severe Acute Respiratory Syndrome Coronavirus 2 and Dengue Virus Co-infection: Indian Perspectives. Disaster Medicine and Public Health Preparedness. 16(5). 1769–1771.
10.
11.
Sridhar, Jayavel, et al.. (2021). Deriving tropical gynoecious inbred backcross lines from exotic pickling cucumber using marker assisted backcross breeding. Scientia Horticulturae. 288. 110320–110320. 1 indexed citations
12.
Hiloidhari, Moonmoon, et al.. (2019). Prospect and potential of biomass power to mitigate climate change: A case study in India. Journal of Cleaner Production. 220. 931–944. 59 indexed citations
13.
Kumari, Shilpi, Ram Kishor Fagodiya, Moonmoon Hiloidhari, R.P. Dahiya, & Amit Kumar. (2019). Methane production and estimation from livestock husbandry: A mechanistic understanding and emerging mitigation options. The Science of The Total Environment. 709. 136135–136135. 51 indexed citations
14.
Dahiya, R.P., et al.. (2018). Policy options for managing the water resources in rapidly expanding cities: a system dynamics approach. Sustainable Water Resources Management. 5(3). 1201–1215. 9 indexed citations
15.
Kumari, Shilpi. (2018). GIS-Based Assessment of Methane Emission from Livestock in India. 7(5). 2 indexed citations
16.
Hiloidhari, Moonmoon, D.C. Baruah, Anoop Singh, et al.. (2017). Emerging role of Geographical Information System (GIS), Life Cycle Assessment (LCA) and spatial LCA (GIS-LCA) in sustainable bioenergy planning. Bioresource Technology. 242. 218–226. 126 indexed citations
17.
Kumari, Shilpi, et al.. (2017). Climate change impact of livestock CH4 emission in India: Global temperature change potential (GTP) and surface temperature response. Ecotoxicology and Environmental Safety. 147. 516–522. 9 indexed citations
18.
Kumari, Shilpi. (2016). Learning science with analogies and metaphors. 7(2). 199–199.
19.
Kumari, Shilpi, et al.. (2016). Projection of methane emissions from livestock through enteric fermentation: A case study from India. Environmental Development. 20. 31–44. 18 indexed citations
20.
Pal, Dharam, Snigdha Bhardwaj, Pratima Pandey, et al.. (2015). Molecular marker assisted back cross breeding for effective transfer of Lr 19 in wheat ( Triticum aestivum L.). Indian Journal of Genetics and Plant Breeding (The). 75(2). 253–253. 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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