Aparna Kishor

469 total citations
10 papers, 333 citations indexed

About

Aparna Kishor is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Aparna Kishor has authored 10 papers receiving a total of 333 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 2 papers in Oncology and 2 papers in Immunology. Recurrent topics in Aparna Kishor's work include RNA Research and Splicing (5 papers), RNA modifications and cancer (3 papers) and Peptidase Inhibition and Analysis (2 papers). Aparna Kishor is often cited by papers focused on RNA Research and Splicing (5 papers), RNA modifications and cancer (3 papers) and Peptidase Inhibition and Analysis (2 papers). Aparna Kishor collaborates with scholars based in United States. Aparna Kishor's co-authors include J. Robert Hogg, Zhiyun Ge, Gerald M. Wilson, Gary Brewer, Yvelisse Suarez, Eric A. Toth, Elizabeth J. White, Aerielle E. Matsangos, Jin Jen and Joanna H. Shih and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and The EMBO Journal.

In The Last Decade

Aparna Kishor

10 papers receiving 330 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aparna Kishor United States 9 278 45 27 27 20 10 333
Enzo Tedone United States 9 278 1.0× 49 1.1× 30 1.1× 36 1.3× 17 0.8× 12 406
Isabel S. Naarmann‐de Vries Germany 12 387 1.4× 101 2.2× 21 0.8× 24 0.9× 13 0.7× 25 430
Xiongwei Fan China 11 200 0.7× 46 1.0× 24 0.9× 35 1.3× 11 0.6× 35 278
Joy Armistead Germany 7 234 0.8× 26 0.6× 45 1.7× 39 1.4× 11 0.6× 10 325
Olivier Le Tonquèze United States 9 353 1.3× 69 1.5× 17 0.6× 40 1.5× 19 0.9× 15 410
Haiqing Xiong China 7 397 1.4× 81 1.8× 22 0.8× 30 1.1× 7 0.3× 12 418
Rwik Sen United States 13 318 1.1× 43 1.0× 25 0.9× 29 1.1× 15 0.8× 30 400
Micaela Polay Espinoza France 7 414 1.5× 85 1.9× 36 1.3× 23 0.9× 15 0.8× 8 470
Koichi Ogami Japan 13 479 1.7× 93 2.1× 31 1.1× 23 0.9× 8 0.4× 21 527
Chiara Di Vona Spain 6 197 0.7× 35 0.8× 39 1.4× 29 1.1× 16 0.8× 11 308

Countries citing papers authored by Aparna Kishor

Since Specialization
Citations

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

Fields of papers citing papers by Aparna Kishor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aparna Kishor

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

All Works

10 of 10 papers shown
1.
Kishor, Aparna, Nazmul Haque, Zhiyun Ge, et al.. (2020). Activation and inhibition of nonsense-mediated mRNA decay control the abundance of alternative polyadenylation products. Nucleic Acids Research. 48(13). 7468–7482. 13 indexed citations
2.
Kishor, Aparna, et al.. (2019). Nonsense‐mediated mRNA decay: The challenge of telling right from wrong in a complex transcriptome. Wiley Interdisciplinary Reviews - RNA. 10(6). e1548–e1548. 72 indexed citations
3.
Kishor, Aparna, Zhiyun Ge, & J. Robert Hogg. (2018). hnRNP L‐dependent protection of normal mRNAs from NMD subverts quality control in B cell lymphoma. The EMBO Journal. 38(3). 54 indexed citations
4.
Kishor, Aparna, et al.. (2017). Hsp70's RNA-binding and mRNA-stabilizing activities are independent of its protein chaperone functions. Journal of Biological Chemistry. 292(34). 14122–14133. 27 indexed citations
5.
Rondeau, Gaëlle, Reshma Patel, Beth E. Zucconi, et al.. (2013). Combinatorial mRNA binding by AUF1 and Argonaute 2 controls decay of selected target mRNAs. Nucleic Acids Research. 41(4). 2644–2658. 36 indexed citations
6.
Mahat, Dig Bijay, Aparna Kishor, Christina R. Ross, et al.. (2012). Coordinated Expression of Tristetraprolin Post-Transcriptionally Attenuates Mitogenic Induction of the Oncogenic Ser/Thr Kinase Pim-1. PLoS ONE. 7(3). e33194–e33194. 12 indexed citations
7.
Kishor, Aparna, et al.. (2012). Hsp70 Is a Novel Posttranscriptional Regulator of Gene Expression That Binds and Stabilizes Selected mRNAs Containing AU-Rich Elements. Molecular and Cellular Biology. 33(1). 71–84. 53 indexed citations
8.
9.
Sommers, Connie L., Rishi Surana, Mira Barda‐Saad, et al.. (2008). Bam32: a novel mediator of Erk activation in T cells. International Immunology. 20(7). 811–818. 19 indexed citations
10.
Fukuoka, Junya, Tatiana Dracheva, Joanna H. Shih, et al.. (2006). Desmoglein 3 as a prognostic factor in lung cancer. Human Pathology. 38(2). 276–283. 44 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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