545 total citations 40 papers, 345 citations indexed
About
H. K. Jaiswal is a scholar working on Plant Science, Genetics and Molecular Biology.
According to data from OpenAlex, H. K. Jaiswal has authored 40 papers receiving a total of 345 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Plant Science, 9 papers in Genetics and 2 papers in Molecular Biology. Recurrent topics in H. K. Jaiswal's work include Rice Cultivation and Yield Improvement (23 papers), Genetics and Plant Breeding (18 papers) and GABA and Rice Research (13 papers). H. K. Jaiswal is often cited by papers focused on Rice Cultivation and Yield Improvement (23 papers), Genetics and Plant Breeding (18 papers) and GABA and Rice Research (13 papers). H. K. Jaiswal collaborates with scholars based in India, Spain and Germany. H. K. Jaiswal's co-authors include Ramesh Singh, Vinod Kumar, Showkat A. Waza, Sudarshan Maurya, Shree P. Pandey, B. D. Singh, K. Annapurna, Reetika Singh, Ali Mustafa Qamar and Akanksha Akanksha and has published in prestigious journals such as SHILAP Revista de lepidopterología, Annals of Applied Biology and Current Microbiology.
Citations per year, relative to H. K. Jaiswal H. K. Jaiswal (= 1×)
peers
Elisa Serra Negra Vieira
Countries citing papers authored by H. K. Jaiswal
Since
Specialization
Citations
This map shows the geographic impact of H. K. Jaiswal'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 H. K. Jaiswal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites H. K. Jaiswal more than expected).
This network shows the impact of papers produced by H. K. Jaiswal. 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 H. K. Jaiswal. The network helps show where H. K. Jaiswal may publish in the future.
Co-authorship network of co-authors of H. K. Jaiswal
This figure shows the co-authorship network connecting the top 25 collaborators of H. K. Jaiswal.
A scholar is included among the top collaborators of H. K. Jaiswal 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 H. K. Jaiswal. H. K. Jaiswal is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Waza, Showkat A. & H. K. Jaiswal. (2016). Identification of elite grain quality restorers and maintainers for WA CMS lines of rice (Oryza sativa L.).. SABRAO Journal of Breeding and Genetics. 48(2). 145–153.3 indexed citations
3.
Waza, Showkat A. & H. K. Jaiswal. (2015). Effect of WA cytoplasm on yield and yield attributes of rice hybrids. ORYZA- An International Journal on Rice. 52(2). 100–104.1 indexed citations
4.
Jaiswal, H. K., et al.. (2015). Variability, heritability and genetic advance studies in some indigenous genotypes of basmati rice (Oryza sativa L.).. Electronic Journal of Plant Breeding. 6(2). 506–511.8 indexed citations
5.
Jaiswal, H. K., et al.. (2015). CHARACTER ASSOCIATION AND PATH ANALYSIS STUDIES OF YIELD AND QUALITY PARAMETERS IN BASMATI RICE (ORYZA SATIVA L.). 6(1). 117–121.11 indexed citations
6.
Jaiswal, H. K., et al.. (2015). Response of rice seedlings to cold tolerance under boro conditions.. SABRAO Journal of Breeding and Genetics. 47(2). 185–190.7 indexed citations
7.
Waza, Showkat A. & H. K. Jaiswal. (2015). Effects of WA cytoplasm on various quality characteristics of rice hybrids.. The Journal of Animal and Plant Sciences. 25(6). 1693–1698.3 indexed citations
Singh, Ramesh, et al.. (2013). Application of bacterial endophytes as bioinoculant enhances germination, seedling growth and yield of maize (Zea mays L.). Range Management and Agroforestry. 34(2). 171–174.3 indexed citations
11.
Singh, Ramesh, et al.. (2013). Multiple antibiotic resistant plant growth promoting rhizobacteria (PGPR) expressed significant increase in growth of maize plants..2 indexed citations
12.
Srivastava, A. K., et al.. (2012). Combining ability analysis for yield and quality traits in indigenous aromatic rice. ORYZA- An International Journal on Rice. 49(4). 251–257.1 indexed citations
13.
Srivastava, A. K., et al.. (2012). Genetics of grain quality traits in indigenous aromatic rice (Oryza sativa L.). Crop Research. 44(2). 135–140.
14.
Srivastava, A. K., et al.. (2012). Genetic Architecture Of Yield And Yield Components In Indigenous Aromatic Rice (Oryza sativa L.). Vegetos. 25(1). 146–150.2 indexed citations
15.
Jaiswal, H. K., et al.. (2009). Correlation and path analysis in short duration chickpea. Journal of Food Legumes. 22(4). 302–302.3 indexed citations
16.
Jaiswal, H. K., et al.. (2007). Variability and association studies in indigenous aromatic rice (Oryza sativa L.). ORYZA- An International Journal on Rice. 44(4). 351–353.6 indexed citations
Jaiswal, H. K. & B. D. Singh. (1989). Analysis of Gene Effects for Yield and Certain Yield Traits in Crosses Between Cicer Arietinum L. and C. Reticulatum Ladz. Indian Journal of Genetics and Plant Breeding (The). 49(1). 9–17.6 indexed citations
20.
Singh, B. D., H. K. Jaiswal, Ram Singh, & Anshuman Singh. (1984). Isolation of early-flowering recombinants from the interspecific cross between Cicer arietinum and C. reticulatum. 11. 14–16.8 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.