Countries citing papers authored by Archana Sachdev
Since
Specialization
Citations
This map shows the geographic impact of Archana Sachdev'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 Archana Sachdev with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Archana Sachdev more than expected).
This network shows the impact of papers produced by Archana Sachdev. 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 Archana Sachdev. The network helps show where Archana Sachdev may publish in the future.
Co-authorship network of co-authors of Archana Sachdev
This figure shows the co-authorship network connecting the top 25 collaborators of Archana Sachdev.
A scholar is included among the top collaborators of Archana Sachdev 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 Archana Sachdev. Archana Sachdev is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Krishnan, Veda, Priyanka Jain, T. Vinutha, et al.. (2015). Molecular modeling and in-silico characterization of Glycine max inositol (1, 3, 4) tris 5/6 kinase-1(Gmitpk1) - a potential candidate gene for developing low phytate transgenics.. Plant Omics. 8(5). 381–391.6 indexed citations
10.
Kumari, Sweta, Sanjay Kumar Lal, & Archana Sachdev. (2014). Identification of putative low phytic acid mutants and assessment of the total P, phytate P, protein and divalent cations in mutant populations of soybean. Australian Journal of Crop Science. 8(3). 435–441.4 indexed citations
11.
Kumari, Sweta, Veda Krishnan, Monica Jolly, & Archana Sachdev. (2014). 'In vivo' bioavailability of essential minerals and phytase activity during soaking and germination in soybean ('Glycine max' L.). Australian Journal of Crop Science. 8(8). 1168–1174.25 indexed citations
12.
Biswas, A.K., et al.. (2013). Standardization of meat level and combination of turkey and spent hen meat for the development of shelf-stable meat wafer. Indian Journal of Poultry Science. 48(3). 318–322.1 indexed citations
13.
Kumari, Swati & Archana Sachdev. (2013). Molecular cloning, characterization and bacterial overexpression of D-myo-inositol 3-phosphate synthase (MIPS1) gene from soybean (Glycine max [L.] Merr.).. Australian Journal of Crop Science. 7(12). 1884–1892.2 indexed citations
14.
Sachdev, Archana, et al.. (2012). Quality Changes in Salted Chicken Eggs. 21(2). 51–55.3 indexed citations
Sachdev, Archana, et al.. (2011). Productivity evaluation of commercial “caribro-dhanraja” in different conditions. Bhartiya Krishi Anusandhan Patrika. 26. 48–52.1 indexed citations
17.
Sinha, Satrajit, et al.. (2009). Antisense RNA-mediated inhibition of GMFAD2-1 encoding omega-6-desaturase.. Indian Journal of Plant Physiology. 14(4). 336–343.1 indexed citations
18.
Sachdev, Archana, et al.. (2002). Effect of seasons and storage conditions on the quality of cooked chicken stock. Indian Journal of Poultry Science. 37(1). 67–72.2 indexed citations
19.
Sachdev, Archana & Ram Gopal. (2000). Storage quality changes in cooked chicken rolls. Indian Journal of Poultry Science. 35(3). 364–366.7 indexed citations
20.
Sachdev, Archana, Deepak Singh, Ram Gopal, & Sangeeta Verma. (1990). Sex, live weight and dressed weight affecting carcass yield characteristics in Kadaknath.. The Indian Journal of Animal Sciences. 60(11). 1395–1398.
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.