Ganesh Shankarling

402 total citations
9 papers, 301 citations indexed

About

Ganesh Shankarling is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Infectious Diseases. According to data from OpenAlex, Ganesh Shankarling has authored 9 papers receiving a total of 301 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 2 papers in Cardiology and Cardiovascular Medicine and 1 paper in Infectious Diseases. Recurrent topics in Ganesh Shankarling's work include RNA Research and Splicing (8 papers), RNA modifications and cancer (5 papers) and RNA and protein synthesis mechanisms (4 papers). Ganesh Shankarling is often cited by papers focused on RNA Research and Splicing (8 papers), RNA modifications and cancer (5 papers) and RNA and protein synthesis mechanisms (4 papers). Ganesh Shankarling collaborates with scholars based in United States. Ganesh Shankarling's co-authors include Kristen W. Lynch, Brian Cole, Ni-Ting Chiou, Michael J. Mallory, Clinton C. MacDonald, Ryan H. Moy, Beth Gold, Benjamin R. tenOever, Andrew Varble and Ari Yasunaga and has published in prestigious journals such as Cell, Molecular Cell and PLoS ONE.

In The Last Decade

Ganesh Shankarling

8 papers receiving 298 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ganesh Shankarling United States	8	264	53	44	22	21	9	301
Clara Benoit‐Pilven France	9	208 0.8×	43 0.8×	28 0.6×	16 0.7×	10 0.5×	11	254
Ryan L. Kan United States	4	200 0.8×	91 1.7×	32 0.7×	13 0.6×	35 1.7×	8	249
Ahyeon Son South Korea	4	236 0.9×	32 0.6×	30 0.7×	20 0.9×	9 0.4×	5	277
Rachel S. Lerner United States	6	298 1.1×	16 0.3×	22 0.5×	21 1.0×	19 0.9×	7	344
Maëlle Daunesse France	3	493 1.9×	46 0.9×	25 0.6×	13 0.6×	34 1.6×	3	542
Anna Łabno Poland	4	283 1.1×	42 0.8×	18 0.4×	5 0.2×	37 1.8×	7	316
Anthony Gaba United States	5	324 1.2×	25 0.5×	41 0.9×	17 0.8×	32 1.5×	7	375
Daniele Hasler Germany	8	244 0.9×	124 2.3×	19 0.4×	9 0.4×	11 0.5×	9	299
Christy Fillman United States	3	438 1.7×	59 1.1×	21 0.5×	18 0.8×	22 1.0×	3	461
Devin Tauber United States	5	406 1.5×	19 0.4×	35 0.8×	30 1.4×	11 0.5×	6	425

Countries citing papers authored by Ganesh Shankarling

Since Specialization

Citations

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

Fields of papers citing papers by Ganesh Shankarling

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ganesh Shankarling

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

All Works

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9 of 9 papers shown

1.

Ajith, Sandya, Matthew R. Gazzara, Brian Cole, et al.. (2016). Position-dependent activity of CELF2 in the regulation of splicing and implications for signal-responsive regulation in T cells. RNA Biology. 13(6). 569–581. 35 indexed citations

2.

Moy, Ryan H., Brian Cole, Ari Yasunaga, et al.. (2014). Stem-Loop Recognition by DDX17 Facilitates miRNA Processing and Antiviral Defense. Cell. 158(4). 764–777. 98 indexed citations

3.

Shankarling, Ganesh, Brian Cole, Michael J. Mallory, & Kristen W. Lynch. (2013). Transcriptome-Wide RNA Interaction Profiling Reveals Physical and Functional Targets of hnRNP L in Human T Cells. Molecular and Cellular Biology. 34(1). 71–83. 40 indexed citations

4.

Chiou, Ni-Ting, Ganesh Shankarling, & Kristen W. Lynch. (2013). HnRNP L and HnRNP A1 Induce Extended U1 snRNA Interactions with an Exon to Repress Spliceosome Assembly. Molecular Cell. 49(5). 972–982. 59 indexed citations

5.

Shankarling, Ganesh & Clinton C. MacDonald. (2013). Polyadenylation site-specific differences in the activity of the neuronal βCstF-64 protein in PC-12 cells. Gene. 529(2). 220–227. 8 indexed citations

6.

Shankarling, Ganesh. (2013). Regulation of pre-mRNA Alternative Splicing by the RNA Processing Factor hnRNPL. 2(3).

7.

Shankarling, Ganesh & Kristen W. Lynch. (2013). Minimal functional domains of paralogues hnRNP L and hnRNP LL exhibit mechanistic differences in exonic splicing repression. Biochemical Journal. 453(2). 271–279. 15 indexed citations

8.

Li, Wencheng, et al.. (2012). The τCstF-64 Polyadenylation Protein Controls Genome Expression in Testis. PLoS ONE. 7(10). e48373–e48373. 23 indexed citations

9.

Shankarling, Ganesh, Penelope W. Coates, Brinda Dass, & Clinton C. MacDonald. (2009). A family of splice variants of CstF-64 expressed in vertebrate nervous systems. BMC Molecular Biology. 10(1). 22–22. 23 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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