Ankeeta Shah

1.1k total citations · 1 hit paper
6 papers, 613 citations indexed

About

Ankeeta Shah is a scholar working on Molecular Biology, Cell Biology and Electrical and Electronic Engineering. According to data from OpenAlex, Ankeeta Shah has authored 6 papers receiving a total of 613 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 1 paper in Cell Biology and 1 paper in Electrical and Electronic Engineering. Recurrent topics in Ankeeta Shah's work include RNA modifications and cancer (5 papers), RNA and protein synthesis mechanisms (3 papers) and RNA Research and Splicing (3 papers). Ankeeta Shah is often cited by papers focused on RNA modifications and cancer (5 papers), RNA and protein synthesis mechanisms (3 papers) and RNA Research and Splicing (3 papers). Ankeeta Shah collaborates with scholars based in United States and Norway. Ankeeta Shah's co-authors include Chaolin Zhang, Sebastien M. Weyn‐Vanhentenryck, Yang Li, Richard K. Wilson, Bradley J. Nelson, AnneMarie E. Welch, Stuart Cantsilieris, Vincent Magrini, Susan K. Dutcher and Wesley C. Warren and has published in prestigious journals such as Cell, Neuron and Molecular Cell.

In The Last Decade

Ankeeta Shah

6 papers receiving 609 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Characterizing the Major Structural Variant Alleles of the Human Genome

2019 269 citations Peter A. Audano, Arvis Sulovari et al. Cell profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ankeeta Shah United States	6	534	161	154	81	21	6	613
Avanti Shrikumar United States	9	1.0k 1.9×	181 1.1×	122 0.8×	63 0.8×	25 1.2×	13	1.1k
Shannon McNulty United States	6	545 1.0×	283 1.8×	86 0.6×	237 2.9×	16 0.8×	9	716
Bettina Engist Germany	9	558 1.0×	81 0.5×	77 0.5×	169 2.1×	58 2.8×	10	626
Emma K. Farley United States	12	565 1.1×	133 0.8×	63 0.4×	54 0.7×	31 1.5×	17	639
Ryan O’Rourke United States	5	180 0.3×	68 0.4×	96 0.6×	36 0.4×	10 0.5×	7	286
Dario Nicetto United States	7	681 1.3×	82 0.5×	50 0.3×	90 1.1×	48 2.3×	10	770
Anthony Shafer United States	6	775 1.5×	235 1.5×	71 0.5×	80 1.0×	49 2.3×	9	872
Bradley M. Downs United States	9	368 0.7×	119 0.7×	95 0.6×	46 0.6×	16 0.8×	24	463
Mette Bentsen Germany	6	391 0.7×	62 0.4×	42 0.3×	57 0.7×	62 3.0×	13	493
Timothy Gilpatrick United States	6	424 0.8×	73 0.5×	67 0.4×	75 0.9×	11 0.5×	7	474

Countries citing papers authored by Ankeeta Shah

Since Specialization

Citations

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

Fields of papers citing papers by Ankeeta Shah

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ankeeta Shah

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

All Works

Sort: Min cites: Since: Top N: Style:

6 of 6 papers shown

1.

Shah, Ankeeta, et al.. (2021). Benchmarking sequencing methods and tools that facilitate the study of alternative polyadenylation. Genome biology. 22(1). 291–291. 21 indexed citations

2.

Audano, Peter A., Arvis Sulovari, Tina A. Graves-Lindsay, et al.. (2019). Characterizing the Major Structural Variant Alleles of the Human Genome. Cell. 176(3). 663–675.e19. 269 indexed citations breakdown →

3.

Feng, Huijuan, Suying Bao, Mohammad Alinoor Rahman, et al.. (2019). Modeling RNA-Binding Protein Specificity In Vivo by Precisely Registering Protein-RNA Crosslink Sites. Molecular Cell. 74(6). 1189–1204.e6. 72 indexed citations

4.

Xu, Huan, Yulia Dzhashiashvili, Ankeeta Shah, et al.. (2019). m6A mRNA Methylation Is Essential for Oligodendrocyte Maturation and CNS Myelination. Neuron. 105(2). 293–309.e5. 112 indexed citations

5.

Dorai, Thambi, Ankeeta Shah, Rajamma Mathew, et al.. (2018). NRH:quinone oxidoreductase 2 (NQO2) and glutaminase (GLS) both play a role in large extracellular vesicles (LEV) formation in preclinical LNCaP‐C4‐2B prostate cancer model of progressive metastasis. The Prostate. 78(15). 1181–1195. 17 indexed citations

6.

Shah, Ankeeta, et al.. (2016). CLIP Tool Kit (CTK): a flexible and robust pipeline to analyze CLIP sequencing data. Bioinformatics. 33(4). 566–567. 122 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.

Explore authors with similar magnitude of impact