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.
Quantitative image analysis of microbial communities with BiofilmQ
2021194 citationsRaimo Hartmann, Hannah Jeckel et al.Nature Microbiologyprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
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Countries citing papers authored by Praveen K. Singh
Since
Specialization
Citations
This map shows the geographic impact of Praveen K. 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 Praveen K. Singh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Praveen K. Singh more than expected).
Fields of papers citing papers by Praveen K. Singh
This network shows the impact of papers produced by Praveen K. 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 Praveen K. Singh. The network helps show where Praveen K. Singh may publish in the future.
Co-authorship network of co-authors of Praveen K. Singh
This figure shows the co-authorship network connecting the top 25 collaborators of Praveen K. Singh.
A scholar is included among the top collaborators of Praveen K. 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 Praveen K. Singh. Praveen K. Singh is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Singh, Praveen K., et al.. (2018). Combining ability analysis in sponge gourd for earliness and yield. Journal of Pharmacognosy and Phytochemistry. 7(2). 3344–3353.
Choudhary, B. R., et al.. (2014). Genetic diversity analysis for quantitative traits in hermaphrodite ridge gourd (Luffa acutangula (Roxb.) L.). Indian Journal of Horticulture. 71(2). 284–287.1 indexed citations
Sharma, Devinder, D. P. Abrol, Manoj Kumar, Sudhir Kumar Singh, & Praveen K. Singh. (2013). Pollinator diversity and its impact on cauliflower (Brassica campestris var. botrytis) pollination.. Annals of Agri Bio Research. 18(3). 383–385.1 indexed citations
15.
Singh, Praveen K., et al.. (2013). Genetic improvement of cauliflower. Vegetable Science. 40(2). 121–1236.4 indexed citations
16.
Singh, Praveen K., et al.. (2012). Genetic divergence study in aromatic rice (Oryza sativa L.).. SABRAO Journal of Breeding and Genetics. 44(2). 356–369.2 indexed citations
17.
Singh, Praveen K., S. N. Singh, & D. B. Singh. (2008). Response of GA3 and NAA on growth, flowering, bulb production and vase life of tuberose (Polianthes tuberosa L.) cv. Single.. THE ASIAN JOURNAL OF HORTICULTURE. 3(1). 183–186.1 indexed citations
Tuli, Rakesh, C. R. Bhatia, Praveen K. Singh, & Ratnesh Chaturvedi. (2000). Release of insecticidal transgenic crops and gap areas in developing approaches for more durable resistance.. Current Science. 79(2). 163–169.3 indexed citations
20.
Singh, Praveen K., et al.. (1994). Expression of yield heterosis in some intervarietal crosses of indian rapeseed (Brassica campestris L. Prain). Indian Journal of Genetics and Plant Breeding (The). 54(3). 310–314.1 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.