Marilyn Khanna

803 total citations
12 papers, 651 citations indexed

About

Marilyn Khanna is a scholar working on Cell Biology, Endocrinology, Diabetes and Metabolism and Plant Science. According to data from OpenAlex, Marilyn Khanna has authored 12 papers receiving a total of 651 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cell Biology, 4 papers in Endocrinology, Diabetes and Metabolism and 3 papers in Plant Science. Recurrent topics in Marilyn Khanna's work include Aldose Reductase and Taurine (5 papers), Hormonal Regulation and Hypertension (3 papers) and Plant Virus Research Studies (2 papers). Marilyn Khanna is often cited by papers focused on Aldose Reductase and Taurine (5 papers), Hormonal Regulation and Hypertension (3 papers) and Plant Virus Research Studies (2 papers). Marilyn Khanna collaborates with scholars based in United States. Marilyn Khanna's co-authors include Kenan Qin, Kui Cheng, Regina W. Wang, Weiguo Cao, Philip B. Paty, Francis Barany, Kelly J. Henrickson, Antonio I. Picon, Joseph Day and Olivera Grubisha and has published in prestigious journals such as Journal of Biological Chemistry, Oncogene and Journal of Virology.

In The Last Decade

Marilyn Khanna

12 papers receiving 634 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Marilyn Khanna United States 11 196 144 143 129 102 12 651
Donna Shattuck United States 12 417 2.1× 54 0.4× 54 0.4× 110 0.9× 240 2.4× 14 955
Amit R. Majithia United States 15 623 3.2× 69 0.5× 302 2.1× 108 0.8× 316 3.1× 30 1.2k
Vladimir Ovod Finland 18 261 1.3× 100 0.7× 186 1.3× 129 1.0× 162 1.6× 30 1.1k
Jianhong Shu China 15 280 1.4× 24 0.2× 40 0.3× 61 0.5× 69 0.7× 54 691
Ana Brennand United Kingdom 14 273 1.4× 39 0.3× 125 0.9× 375 2.9× 70 0.7× 18 721
Carlos A. Rodríguez-Alarcón Mexico 12 282 1.4× 109 0.8× 238 1.7× 43 0.3× 148 1.5× 43 689
Jennifer S. Lee United States 14 197 1.0× 22 0.2× 143 1.0× 201 1.6× 301 3.0× 18 712
Michael C. Yeung United States 13 210 1.1× 22 0.2× 21 0.1× 74 0.6× 112 1.1× 18 710
Burcu Anar United Kingdom 16 479 2.4× 71 0.5× 14 0.1× 167 1.3× 187 1.8× 20 1.3k
Erik Wade United States 8 216 1.1× 15 0.1× 45 0.3× 102 0.8× 176 1.7× 14 726

Countries citing papers authored by Marilyn Khanna

Since Specialization
Citations

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

Fields of papers citing papers by Marilyn Khanna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marilyn Khanna

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

All Works

12 of 12 papers shown
1.
He, Jie, Fan Jiang, Lihua Wang, et al.. (2009). Simultaneous Detection of CDC Category "A" DNA and RNA Bioterrorism Agents by Use of Multiplex PCR & RT-PCR Enzyme Hybridization Assays. Viruses. 1(3). 441–459. 25 indexed citations
2.
3.
Khanna, Marilyn, et al.. (2004). Rapid Detection and Identification of Human Adenovirus Species by Adenoplex, a Multiplex PCR-Enzyme Hybridization Assay. Journal of Clinical Microbiology. 42(9). 4072–4076. 41 indexed citations
4.
5.
Khanna, Marilyn, et al.. (1999). Ligase detection reaction for identification of low abundance mutations. Clinical Biochemistry. 32(4). 287–290. 41 indexed citations
6.
Khanna, Marilyn, Weiguo Cao, Antonio I. Picon, et al.. (1999). Multiplex PCR/LDR for detection of K-ras mutations in primary colon tumors. Oncogene. 18(1). 27–38. 137 indexed citations
7.
Derrien, Muriel, Almira S. Punjabi, Marilyn Khanna, Olivera Grubisha, & Paula Traktman. (1999). Tyrosine Phosphorylation of A17 during Vaccinia Virus Infection: Involvement of the H1 Phosphatase and the F10 Kinase. Journal of Virology. 73(9). 7287–7296. 57 indexed citations
8.
9.
Khanna, Marilyn, Kenan Qin, Regina W. Wang, & Kui Cheng. (1995). Substrate Specificity, Gene Structure, and Tissue-specific Distribution of Multiple Human 3α-Hydroxysteroid Dehydrogenases. Journal of Biological Chemistry. 270(34). 20162–20168. 161 indexed citations
10.
Khanna, Marilyn, Kenan Qin, & KC Cheng. (1995). Distribution of 3α-hydroxysteroid dehydrogenase in rat brain and molecular cloning of multiple cDNAs encoding structurally related proteins in humans. The Journal of Steroid Biochemistry and Molecular Biology. 53(1-6). 41–46. 42 indexed citations
11.
Cheng, Kui, Julie Lee, Marilyn Khanna, & Kenan Qin. (1994). Distribution and ontogeny of 3α-hydroxysteroid dehydrogenase in the rat brain. The Journal of Steroid Biochemistry and Molecular Biology. 50(1-2). 85–89. 21 indexed citations
12.
Khanna, Marilyn, et al.. (1994). Structure of a gene coding for human dihydrodiol dehydrogenase/bile acid-binding protein. Gene. 149(2). 357–361. 10 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.

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