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.
Phytohormonal signaling in plant resilience: advances and strategies for enhancing abiotic stress tolerance
Countries citing papers authored by Siddhartha Singh
Since
Specialization
Citations
This map shows the geographic impact of Siddhartha Singh'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 Siddhartha Singh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Siddhartha Singh more than expected).
Fields of papers citing papers by Siddhartha Singh
This network shows the impact of papers produced by Siddhartha Singh. 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 Siddhartha Singh. The network helps show where Siddhartha Singh may publish in the future.
Co-authorship network of co-authors of Siddhartha Singh
This figure shows the co-authorship network connecting the top 25 collaborators of Siddhartha Singh.
A scholar is included among the top collaborators of Siddhartha Singh 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 Siddhartha Singh. Siddhartha Singh is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Singh, Siddhartha, et al.. (2018). Principal component based agro-morphological performance analysis of French bean (Phaseolus vulgaris). International Journal of Chemical Studies. 6(6). 1850–1853.2 indexed citations
12.
Singh, Siddhartha, et al.. (2017). Variability of rambutan (Nephelium lappaceum Linn.) in East Siang district of Arunachal Pradesh.. Bangladesh Journal of Botany. 46(1). 103–109.2 indexed citations
Singh, Siddhartha. (2015). Physico-chemical modifications induced by 70 MeV carbon ions in alpha phased polyvinylidene fluoride (-PVDF) polymer. Indian Journal of Pure & Applied Physics. 52(2). 131–136.3 indexed citations
15.
Hazarika, B. N., et al.. (2015). Forced flowering of pineapple (Ananas comosus cv. Kew) in rersponse to cold stress, ethephon, calcium carbide and activated charcoal.. Crop Research. 52. 34–36.1 indexed citations
16.
Singh, Siddhartha. (2015). Effect of substrates temperature on structural and optical properties of thermally evaporated CdS nanocrystalline thin films. Indian Journal of Pure & Applied Physics. 52(10). 699–703.6 indexed citations
17.
Singh, Vikas Kumar, et al.. (2014). Studies on seed protein profiling in chilli ('Capsicum annuum' L) genotypes of Northeast India. Australian Journal of Crop Science. 8(3). 369–377.2 indexed citations
18.
Singh, Siddhartha, et al.. (2013). Integrated management of Alternaria blight of Pigeon pea in Arunachal Pradesh. Annals of Plant Protection Sciences. 21(2). 444–446.1 indexed citations
19.
Srivastava, Pramod Kumar, et al.. (2013). Isolation and Characterization of NADP+-Linked Isocitrate Dehydrogenase in Germinating Urd Bean Seeds (Phaseolus mungo). Journal of Proteins and Proteomics. 1(1).1 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.