Apoorva Mohan

1.2k total citations
8 papers, 800 citations indexed

About

Apoorva Mohan is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Genetics. According to data from OpenAlex, Apoorva Mohan has authored 8 papers receiving a total of 800 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Cellular and Molecular Neuroscience and 2 papers in Genetics. Recurrent topics in Apoorva Mohan's work include RNA Research and Splicing (4 papers), Genetic Neurodegenerative Diseases (3 papers) and RNA modifications and cancer (2 papers). Apoorva Mohan is often cited by papers focused on RNA Research and Splicing (4 papers), Genetic Neurodegenerative Diseases (3 papers) and RNA modifications and cancer (2 papers). Apoorva Mohan collaborates with scholars based in United States, Taiwan and Japan. Apoorva Mohan's co-authors include Maurice S. Swanson, Marianne Goodwin, Ranjan Batra, Konstantinos Charizanis, Moyi Li, Chaolin Zhang, Krzysztof Sobczak, Charles A. Thornton, Holly Kordasiewicz and Kuang‐Yung Lee and has published in prestigious journals such as Journal of Clinical Investigation, Nature Communications and Molecular Cell.

In The Last Decade

Apoorva Mohan

8 papers receiving 795 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Apoorva Mohan United States	8	626	440	127	105	63	8	800
Warunee Dansithong United States	19	1.0k 1.6×	732 1.7×	218 1.7×	108 1.0×	49 0.8×	35	1.2k
Beatriz Llamusí Spain	15	590 0.9×	455 1.0×	76 0.6×	88 0.8×	19 0.3×	33	691
Barry A. Pepers Netherlands	12	538 0.9×	293 0.7×	70 0.6×	49 0.5×	21 0.3×	27	677
Joline Dalton United States	10	898 1.4×	817 1.9×	290 2.3×	125 1.2×	81 1.3×	18	1.1k
Valentina Pegoraro Italy	14	399 0.6×	91 0.2×	164 1.3×	86 0.8×	103 1.6×	25	626
Jingyuan Cao China	9	567 0.9×	220 0.5×	143 1.1×	17 0.2×	71 1.1×	12	755
Dong-Hui Chen United States	9	370 0.6×	277 0.6×	127 1.0×	26 0.2×	25 0.4×	10	579
Xiuyin Teng United States	8	486 0.8×	374 0.8×	69 0.5×	22 0.2×	40 0.6×	8	667
Valentina Lo Sardo United States	6	427 0.7×	217 0.5×	42 0.3×	31 0.3×	70 1.1×	10	573
Takuto Hideyama Japan	13	644 1.0×	157 0.4×	466 3.7×	57 0.5×	70 1.1×	38	913

Countries citing papers authored by Apoorva Mohan

Since Specialization

Citations

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

Fields of papers citing papers by Apoorva Mohan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Apoorva Mohan

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

All Works

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8 of 8 papers shown

1.

Mohan, Apoorva, Bethany Fitzsimmons, Hien Zhao, et al.. (2017). Antisense oligonucleotides selectively suppress target RNA in nociceptive neurons of the pain system and can ameliorate mechanical pain. Pain. 159(1). 139–149. 22 indexed citations

2.

Luo, Xin, Bethany Fitzsimmons, Apoorva Mohan, et al.. (2017). Intrathecal administration of antisense oligonucleotide against p38α but not p38β MAP kinase isoform reduces neuropathic and postoperative pain and TLR4-induced pain in male mice. Brain Behavior and Immunity. 72. 34–44. 55 indexed citations

3.

Zhao, Hien, Sagar Damle, Steven Kuntz, et al.. (2017). PMP22 antisense oligonucleotides reverse Charcot-Marie-Tooth disease type 1A features in rodent models. Journal of Clinical Investigation. 128(1). 359–368. 112 indexed citations

4.

Goodwin, Marianne, Apoorva Mohan, Ranjan Batra, et al.. (2015). MBNL Sequestration by Toxic RNAs and RNA Misprocessing in the Myotonic Dystrophy Brain. Cell Reports. 12(7). 1159–1168. 116 indexed citations

5.

Davis, Jennifer, Nathan Salomonis, Suh‐Chin J. Lin, et al.. (2015). MBNL1-mediated regulation of differentiation RNAs promotes myofibroblast transformation and the fibrotic response. Nature Communications. 6(1). 10084–10084. 71 indexed citations

6.

Mohan, Apoorva, Marianne Goodwin, & Maurice S. Swanson. (2014). RNA–protein interactions in unstable microsatellite diseases. Brain Research. 1584. 3–14. 45 indexed citations

7.

Batra, Ranjan, Konstantinos Charizanis, Apoorva Mohan, et al.. (2014). Loss of MBNL Leads to Disruption of Developmentally Regulated Alternative Polyadenylation in RNA-Mediated Disease. Molecular Cell. 56(2). 311–322. 235 indexed citations

8.

Lee, Kuang‐Yung, Moyi Li, Ranjan Batra, et al.. (2013). Compound loss of muscleblind‐like function in myotonic dystrophy. EMBO Molecular Medicine. 5(12). 1887–1900. 144 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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