Preeti Kumari

1.1k citations
47 papers · 736 indexed · h-index 15
Topics
Genetics and Plant Breeding (9 papers)Rice Cultivation and Yield Improvement (8 papers)Neuroinflammation and Neurodegeneration Mechanisms (7 papers)

In The Last Decade

Preeti Kumari

43 papers receiving 722 citations

Peers

Preeti Kumari
Comparison fields: 5 of 110
  • Molecular Biology 262
  • Physiology 103
  • Neurology 99
  • Neurology 72
  • Immunology 59
Replace Cong Zhang with:
Cong Zhang China
Anya Maan-Yuh Lin Taiwan
Na Young Jeong South Korea
Chi Won Song South Korea
Cuiqing Zhu China
Peter Dimitrion United States
Jiehua Xu China
Lian Liu China
Preeti Kumari relative to Cong Zhang China Cong Zhang's profile →
Citations per field
00.5×1.5×
Cong Zhang · 1×
Citations per year

Countries citing papers authored by Preeti Kumari

Since Specialization
Citations

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

Fields of papers citing papers by Preeti Kumari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Preeti Kumari

This figure shows the co-authorship network connecting the top 25 collaborators of Preeti Kumari. A scholar is included among the top collaborators of Preeti 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 Preeti Kumari. Preeti 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
#WorkIndexed citations
1 12
2 0
3 11
4 7
5 7
6 1
7 10
8 28
9 3
10 20
11 47
12 36
13 41
14
Genetic divergence analysis of rice genotypes over environments
1
15 3
16
Impact of chemicals on fruit set and yield contributing characteristics of mango (Mangifera indica L.) cv. Langra
2
17 45
18
Combining ability analysis for yield and its quality traits in rice (Oryza sativa L.) over environment
5
19
Gene action and combining ability analysis for yield and yield contributing traits in rice (Oryza sativa L.) over environment
2
20 26

About Preeti Kumari

Preeti Kumari is a scholar working on Neurology, Biological Psychiatry and Geriatrics and Gerontology, having authored 47 papers that have together received 736 indexed citations. Recurring topics across this work include Genetics and Plant Breeding (9 papers), Rice Cultivation and Yield Improvement (8 papers) and Neuroinflammation and Neurodegeneration Mechanisms (7 papers). The work is most often cited by research in Neurology (99 citations), Biological Psychiatry (25 citations) and Complementary and alternative medicine (52 citations). Preeti Kumari has collaborated with scholars based in India, United Kingdom and United States. Frequent co-authors include Shashi Bala Singh, Dharmendra Kumar Khatri, Valencia Fernandes, Amit Khurana, Chandraiah Godugu, Anika Sood, Prince Allawadhi, Nilofer Sayed, Rahul Kumar and Saurabh Srivastava. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Ethnopharmacology and International Journal of Remote Sensing.

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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