Subhash K. Khanna

93 total papers · 2.1k total citations
87 papers, 1.7k citations indexed

About

Subhash K. Khanna is a scholar working on Analytical Chemistry, Plant Science and Molecular Biology. According to data from OpenAlex, Subhash K. Khanna has authored 87 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Analytical Chemistry, 19 papers in Plant Science and 17 papers in Molecular Biology. Recurrent topics in Subhash K. Khanna's work include Dye analysis and toxicity (21 papers), Carcinogens and Genotoxicity Assessment (12 papers) and Biochemical Analysis and Sensing Techniques (10 papers). Subhash K. Khanna is often cited by papers focused on Dye analysis and toxicity (21 papers), Carcinogens and Genotoxicity Assessment (12 papers) and Biochemical Analysis and Sensing Techniques (10 papers). Subhash K. Khanna collaborates with scholars based in India and United Kingdom. Subhash K. Khanna's co-authors include Mukul Das, S. Rastogi, Sumita Dixit, Premendra D. Dwivedi, K.K. Upreti, Kausar M. Ansari, Alok Dhawan, G.G. Sanwal, P. S. Krishnan and L.P. Srivastava and has published in prestigious journals such as Analytical Biochemistry, Biochemical and Biophysical Research Communications and FEBS Letters.

In The Last Decade

Subhash K. Khanna

86 papers receiving 1.6k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Subhash K. Khanna 498 438 412 270 233 87 1.7k
Feng Zhang 442 0.9× 716 1.6× 447 1.1× 200 0.7× 250 1.1× 155 2.3k
Ronald R. Scheline 304 0.6× 835 1.9× 113 0.3× 211 0.8× 202 0.9× 66 2.4k
Deng‐Jye Yang 519 1.0× 581 1.3× 147 0.4× 154 0.6× 253 1.1× 63 2.3k
O.Garth Fitzhugh 368 0.7× 297 0.7× 103 0.3× 140 0.5× 123 0.5× 44 1.6k
Motohiro NISHIJIMA 458 0.9× 302 0.7× 110 0.3× 260 1.0× 168 0.7× 116 1.3k
Feng Tang 651 1.3× 784 1.8× 127 0.3× 179 0.7× 90 0.4× 109 2.0k
Hoonjeong Kwon 468 0.9× 729 1.7× 74 0.2× 205 0.8× 209 0.9× 69 1.9k
Gerhard Sontag 644 1.3× 515 1.2× 249 0.6× 82 0.3× 269 1.2× 85 2.3k
Girish B. Maru 256 0.5× 990 2.3× 97 0.2× 242 0.9× 86 0.4× 74 2.3k
Guanjun Tao 493 1.0× 823 1.9× 139 0.3× 104 0.4× 435 1.9× 77 2.3k

Countries citing papers authored by Subhash K. Khanna

Since Specialization
Citations

This map shows the geographic impact of Subhash K. Khanna'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 Subhash K. Khanna with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Subhash K. Khanna more than expected).

Fields of papers citing papers by Subhash K. Khanna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Subhash K. Khanna. 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 Subhash K. Khanna. The network helps show where Subhash K. Khanna may publish in the future.

Co-authorship network of co-authors of Subhash K. Khanna

This figure shows the co-authorship network connecting the top 25 collaborators of Subhash K. Khanna. A scholar is included among the top collaborators of Subhash K. Khanna 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 Subhash K. Khanna. Subhash K. Khanna is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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.

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