Archi Joardar

509 total citations
13 papers, 374 citations indexed

About

Archi Joardar is a scholar working on Molecular Biology, Neurology and Genetics. According to data from OpenAlex, Archi Joardar has authored 13 papers receiving a total of 374 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Neurology and 4 papers in Genetics. Recurrent topics in Archi Joardar's work include RNA modifications and cancer (7 papers), Amyotrophic Lateral Sclerosis Research (5 papers) and RNA and protein synthesis mechanisms (5 papers). Archi Joardar is often cited by papers focused on RNA modifications and cancer (7 papers), Amyotrophic Lateral Sclerosis Research (5 papers) and RNA and protein synthesis mechanisms (5 papers). Archi Joardar collaborates with scholars based in United States, India and France. Archi Joardar's co-authors include Daniela C. Zarnescu, Ramesh C. Gupta, Priyatansh Gurha, Prosun Tribedi, Koushik Mukherjee, Alok Kumar Sil, Patricia S. Estes, Matt Geisler, Elisabeth Fitzek and Alexander Starr and has published in prestigious journals such as PLoS ONE, Journal of Bacteriology and Human Molecular Genetics.

In The Last Decade

Archi Joardar

13 papers receiving 368 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Archi Joardar United States 10 214 124 66 55 45 13 374
Susanna Raho Italy 6 256 1.2× 73 0.6× 40 0.6× 28 0.5× 16 0.4× 6 370
C. Whitmore United Kingdom 9 147 0.7× 55 0.4× 28 0.4× 7 0.1× 70 1.6× 14 322
Zhuolin Liu China 13 79 0.4× 137 1.1× 19 0.3× 51 0.9× 18 0.4× 36 417
Ira Agrawal Singapore 8 124 0.6× 83 0.7× 51 0.8× 14 0.3× 40 0.9× 10 295
Arthur P. Chou United States 6 178 0.8× 123 1.0× 97 1.5× 20 0.4× 39 0.9× 8 421
Daniel Lüscher Switzerland 8 298 1.4× 19 0.2× 18 0.3× 29 0.5× 75 1.7× 11 479
Lata Mahishi United States 9 413 1.9× 33 0.3× 13 0.2× 34 0.6× 35 0.8× 11 545
Marjatta Son United States 12 253 1.2× 351 2.8× 118 1.8× 6 0.1× 153 3.4× 20 647
Velmarini Vasquez United States 11 304 1.4× 259 2.1× 92 1.4× 4 0.1× 73 1.6× 16 519
Jin Sun Kang South Korea 12 405 1.9× 25 0.2× 26 0.4× 20 0.4× 29 0.6× 16 559

Countries citing papers authored by Archi Joardar

Since Specialization
Citations

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

Fields of papers citing papers by Archi Joardar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Archi Joardar

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

All Works

13 of 13 papers shown
1.
2.
Alsop, Eric, Tina Kovalik, Archi Joardar, et al.. (2021). TDP-43 proteinopathy alters the ribosome association of multiple mRNAs including the glypican Dally-like protein (Dlp)/GPC6. Acta Neuropathologica Communications. 9(1). 52–52. 9 indexed citations
3.
Lorenzini, Ileana, Jordan M. Barrows, Alexander Starr, et al.. (2019). Glycolysis upregulation is neuroprotective as a compensatory mechanism in ALS. eLife. 8. 84 indexed citations
4.
Fitzek, Elisabeth, Archi Joardar, Ramesh C. Gupta, & Matt Geisler. (2018). Evolution of Eukaryal and Archaeal Pseudouridine Synthase Pus10. Journal of Molecular Evolution. 86(1). 77–89. 20 indexed citations
5.
6.
Joardar, Archi, et al.. (2017). Metabolic Dysregulation in Amyotrophic Lateral Sclerosis: Challenges and Opportunities. PubMed. 5(2). 108–114. 25 indexed citations
7.
Novak, Stefanie M., Archi Joardar, Carol C. Gregorio, & Daniela C. Zarnescu. (2015). Regulation of Heart Rate in Drosophila via Fragile X Mental Retardation Protein. PLoS ONE. 10(11). e0142836–e0142836. 8 indexed citations
8.
Joardar, Archi, et al.. (2014). PPAR gamma activation is neuroprotective in a Drosophila model of ALS based on TDP-43. Human Molecular Genetics. 24(6). 1741–1754. 60 indexed citations
9.
Joardar, Archi, Elisabeth Fitzek, Priyatansh Gurha, et al.. (2013). Role of forefinger and thumb loops in production of Ψ54 and Ψ55 in tRNAs by archaeal Pus10. RNA. 19(9). 1279–1294. 15 indexed citations
10.
11.
Mukherjee, Koushik, et al.. (2010). Isolation of a Pseudomonas aeruginosa strain from soil that can degrade polyurethane diol. Biodegradation. 22(2). 377–388. 73 indexed citations
12.
Joardar, Archi, Priyatansh Gurha, Geena Skariah, & Ramesh C. Gupta. (2008). Box C/D RNA-Guided 2′-O Methylations and the Intron of tRNA Trp Are Not Essential for the Viability of Haloferax volcanii. Journal of Bacteriology. 190(21). 7308–7313. 10 indexed citations
13.
Gurha, Priyatansh, et al.. (2007). Differential Roles of Archaeal Box H/ACA Proteins in Guide RNA-Dependent and Independent Pseudouridine Formation. RNA Biology. 4(2). 101–109. 30 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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