Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Role of plant secondary metabolites in defence and transcriptional regulation in response to biotic stress
2023202 citationsSumit Kumar, Rajneesh Thakur et al.Plant Stressprofile →
Recent advancements in multifaceted roles of flavonoids in plant–rhizomicrobiome interactions
202449 citationsSumit Kumar, Mukesh Meena et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
This map shows the geographic impact of Sumit Kumar'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 Sumit Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sumit Kumar more than expected).
This network shows the impact of papers produced by Sumit Kumar. 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 Sumit Kumar. The network helps show where Sumit Kumar may publish in the future.
Co-authorship network of co-authors of Sumit Kumar
This figure shows the co-authorship network connecting the top 25 collaborators of Sumit Kumar.
A scholar is included among the top collaborators of Sumit Kumar 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 Sumit Kumar. Sumit Kumar is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Kumar, Sumit, Rajneesh Thakur, Abhijeet Shankar Kashyap, et al.. (2023). Role of plant secondary metabolites in defence and transcriptional regulation in response to biotic stress. Plant Stress. 8. 100154–100154.202 indexed citations breakdown →
Kumar, Sumit, et al.. (2020). Studies on genetic variability, heritability and genetic advance in cucumber (Cucumis sativus). Journal of Pharmacognosy and Phytochemistry. 9(5). 481–484.
12.
Singh, N. K., et al.. (2019). Effect of temperature and pH on growth and sporulation of Fusarium oxysporum f.sp. lini (Bolley) Synder and Hensan causing linseed wilt under environmental condition. Journal of Pharmacognosy and Phytochemistry. 8(2). 1427–1430.2 indexed citations
13.
Kumar, Sumit, et al.. (2019). Studies on development and evaluation of aonla-papaya cheese. International Journal of Chemical Studies. 7(3). 4385–4388.
Chand, Ramesh, et al.. (2011). Bipolaris sorokiniana of barley: infection behaviour in different members of Poaceae. Indian Phytopathology. 64(1). 28–31.5 indexed citations
16.
Kumar, Sumit. (2011). Bioremediation Of Endosulfan By Bacteria Isolated From The Agricultural Fields. International Journal of Pharma and Bio Sciences.1 indexed citations
17.
Singh, Shiv P., et al.. (2007). Study on heritability and genetic advance in okra [Abelmoschus esculentus (L.) Moench].. 2. 153–154.2 indexed citations
18.
Mishra, Gyan P., et al.. (2007). Study on heritability and genetic advance in cucumber (Cucumis sativus L.).. 2.3 indexed citations
19.
Kumar, Sumit, et al.. (2005). Effect of calcium on physico-chemical changes in aonla (Emblica officinalis Gaertn). Indian Journal of Horticulture. 62(4). 324–326.4 indexed citations
20.
Shawl, A. S., Sushil Kumar, Sumit Kumar, et al.. (2000). Potential of lavender oil industry in Kashmir.. Journal of Medicinal and Aromatic Plant Sciences. 22. 319–321.13 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.