Anupama Khanna

632 total citations
10 papers, 270 citations indexed

About

Anupama Khanna is a scholar working on Molecular Biology, Plant Science and Ecology. According to data from OpenAlex, Anupama Khanna has authored 10 papers receiving a total of 270 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 2 papers in Plant Science and 1 paper in Ecology. Recurrent topics in Anupama Khanna's work include Molecular Biology Techniques and Applications (5 papers), RNA modifications and cancer (4 papers) and Genomics and Phylogenetic Studies (4 papers). Anupama Khanna is often cited by papers focused on Molecular Biology Techniques and Applications (5 papers), RNA modifications and cancer (4 papers) and Genomics and Phylogenetic Studies (4 papers). Anupama Khanna collaborates with scholars based in United States. Anupama Khanna's co-authors include Lila O. Vodkin, Robin T. Shealy, Françoise Thibaud-Nissen, Virginia H. Coryell, Paul Keim, Cheryl L. Granger, Randy C. Shoemaker, Agata Czyż, Niall Gormley and Haiying Grunenwald and has published in prestigious journals such as PLANT PHYSIOLOGY, Nature Methods and BMC Genomics.

In The Last Decade

Anupama Khanna

8 papers receiving 258 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Anupama Khanna United States	5	206	202	22	16	12	10	270
Shifei Sang China	9	218 1.1×	211 1.0×	22 1.0×	7 0.4×	7 0.6×	19	308
Olivia Santana Mexico	11	126 0.6×	405 2.0×	11 0.5×	16 1.0×	17 1.4×	16	470
Guiqing Xiao China	9	134 0.7×	239 1.2×	24 1.1×	5 0.3×	12 1.0×	13	289
Yun Lian China	11	137 0.7×	281 1.4×	36 1.6×	7 0.4×	12 1.0×	21	342
Almudena Mollá‐Morales Austria	8	229 1.1×	225 1.1×	16 0.7×	21 1.3×	7 0.6×	12	316
Minmin Xie China	8	155 0.8×	224 1.1×	21 1.0×	5 0.3×	11 0.9×	15	282
Fabricio Almeida‐Silva Brazil	12	124 0.6×	206 1.0×	37 1.7×	11 0.7×	4 0.3×	27	294
Marie‐Claude Marsolier France	8	286 1.4×	194 1.0×	14 0.6×	6 0.4×	6 0.5×	12	398
Nang Myint Phyu Sin Htwe China	9	179 0.9×	415 2.1×	17 0.8×	5 0.3×	6 0.5×	16	469
Dóra Szakonyi Portugal	10	399 1.9×	343 1.7×	10 0.5×	10 0.6×	3 0.3×	14	498

Countries citing papers authored by Anupama Khanna

Since Specialization

Citations

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

Fields of papers citing papers by Anupama Khanna

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anupama Khanna

This figure shows the co-authorship network connecting the top 25 collaborators of Anupama Khanna. A scholar is included among the top collaborators of Anupama 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 Anupama Khanna. Anupama 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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10 of 10 papers shown

Burgess, Joshua T., Agata Czyż, Anupama Khanna, et al.. (2018). Bead-linked transposomes enable a normalization-free workflow for NGS library preparation. BMC Genomics. 19(1). 722–722. 37 indexed citations

Sooknanan, Roy, et al.. (2013). Rapid and Efficient Methods for Preparing Globin- and rRNA-Depleted Directional RNA-Seq Libraries. Journal of Biomolecular Techniques JBT. 24.

Khanna, Anupama, et al.. (2013). EpiGnome™ Methyl-Seq Kit: a novel post–bisulfite conversion library prep method for methylation analysis. Nature Methods. 10(10). iii–iv. 9 indexed citations

Sooknanan, Roy, et al.. (2012). ScriptSeq V2 Library Preparation Method: A Rapid and Efficient Method for Preparing Directional RNA-Seq Libraries.. Journal of Biomolecular Techniques JBT. 23. 1 indexed citations

Sooknanan, Roy, et al.. (2011). ScriptSeq RNA-Seq Library Preparation Method: A Simplified Work-Flow for Directional NGS RNASeq Library Preparation with Whole-Transcript Representation. Europe PMC (PubMed Central). 22. 1 indexed citations

Khanna, Anupama, et al.. (2009). RNA amplification and cDNA synthesis for qRT-PCR directly from a single cell. Nature Methods. 6(12). an12–an13. 4 indexed citations

Khanna, Anupama, et al.. (2009). RNA amplification and cDNA synthesis for qRT-PCR directly from a single cell. Nature Methods. 6(8). i–ii. 1 indexed citations

Khanna, Anupama, et al.. (2004). Sulfhydryl Based Cationic Surfactants and the Impact of Polyanions on Disulfide Bond Formation: Implications for Gene Transfer Vectors. Journal of drug targeting. 12(6). 347–353. 7 indexed citations

Thibaud-Nissen, Françoise, Robin T. Shealy, Anupama Khanna, & Lila O. Vodkin. (2003). Clustering of Microarray Data Reveals Transcript Patterns Associated with Somatic Embryogenesis in Soybean,. PLANT PHYSIOLOGY. 132(1). 118–136. 174 indexed citations

10.

Granger, Cheryl L., Virginia H. Coryell, Anupama Khanna, et al.. (2002). Identification, structure, and differential expression of members of a BURP domain containing protein family in soybean. Genome. 45(4). 693–701. 36 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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