Ira Agrawal

436 total citations
10 papers, 295 citations indexed

About

Ira Agrawal is a scholar working on Neurology, Molecular Biology and Surgery. According to data from OpenAlex, Ira Agrawal has authored 10 papers receiving a total of 295 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Neurology, 3 papers in Molecular Biology and 2 papers in Surgery. Recurrent topics in Ira Agrawal's work include Amyotrophic Lateral Sclerosis Research (4 papers), Cholinesterase and Neurodegenerative Diseases (2 papers) and Zebrafish Biomedical Research Applications (2 papers). Ira Agrawal is often cited by papers focused on Amyotrophic Lateral Sclerosis Research (4 papers), Cholinesterase and Neurodegenerative Diseases (2 papers) and Zebrafish Biomedical Research Applications (2 papers). Ira Agrawal collaborates with scholars based in Singapore, United States and China. Ira Agrawal's co-authors include Zhiyuan Gong, Shuo‐Chien Ling, Hongyan Xu, Qin Zeng, Xinping Zhu, Caixia Li, Shi‐Yan Ng, Jianghua Wang, Robert J. Letcher and Greg Tucker‐Kellogg and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Scientific Reports and eLife.

In The Last Decade

Ira Agrawal

10 papers receiving 293 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ira Agrawal Singapore 8 124 83 53 51 43 10 295
C. Whitmore United Kingdom 9 147 1.2× 55 0.7× 17 0.3× 28 0.5× 24 0.6× 14 322
Mahmoud Y. Issa Egypt 15 258 2.1× 28 0.3× 18 0.3× 56 1.1× 13 0.3× 45 482
James Mwanjewe Canada 12 257 2.1× 25 0.3× 14 0.3× 29 0.6× 34 0.8× 20 463
Yvonne Rijksen Netherlands 6 337 2.7× 43 0.5× 13 0.2× 11 0.2× 30 0.7× 11 499
Hung‐Yu Shih Taiwan 12 224 1.8× 35 0.4× 6 0.1× 40 0.8× 28 0.7× 22 330
Sali M.K. Farhan Canada 12 221 1.8× 77 0.9× 5 0.1× 43 0.8× 13 0.3× 33 368
Hsi-Yuan Yang Taiwan 12 171 1.4× 13 0.2× 30 0.6× 20 0.4× 24 0.6× 15 338
Daniel Jutzi United Kingdom 10 315 2.5× 125 1.5× 9 0.2× 103 2.0× 10 0.2× 14 384
Hiromi Takanaga Japan 12 436 3.5× 19 0.2× 29 0.5× 52 1.0× 36 0.8× 16 619

Countries citing papers authored by Ira Agrawal

Since Specialization
Citations

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

Fields of papers citing papers by Ira Agrawal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ira Agrawal

This figure shows the co-authorship network connecting the top 25 collaborators of Ira Agrawal. A scholar is included among the top collaborators of Ira Agrawal 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 Ira Agrawal. Ira Agrawal 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.
Agrawal, Ira, et al.. (2022). Stewart-Treves Syndrome in the Lower Limb after Arthroplasty- A Case Report. Indian Dermatology Online Journal. 13(2). 270–271. 1 indexed citations
2.
Agrawal, Ira, et al.. (2022). Deciphering lipid dysregulation in ALS: from mechanisms to translational medicine. Translational Neurodegeneration. 11(1). 48–48. 34 indexed citations
3.
Chang, Kae-Jiun, Ira Agrawal, Anna Vainshtein, et al.. (2021). TDP-43 maximizes nerve conduction velocity by repressing a cryptic exon for paranodal junction assembly in Schwann cells. eLife. 10. 15 indexed citations
4.
Ho, Wan Yun, Ira Agrawal, Sheue-Houy Tyan, et al.. (2021). Dysfunction in nonsense-mediated decay, protein homeostasis, mitochondrial function, and brain connectivity in ALS-FUS mice with cognitive deficits. Acta Neuropathologica Communications. 9(1). 9–9. 24 indexed citations
5.
Agrawal, Ira, Wan Yun Ho, Yi-Chun Yen, et al.. (2020). Loss of TDP-43 in astrocytes leads to motor deficits by triggering A1-like reactive phenotype and triglial dysfunction. Proceedings of the National Academy of Sciences. 117(46). 29101–29112. 51 indexed citations
6.
Huo, Xiaojing, Hankun Li, Zhen Li, et al.. (2019). Transcriptomic profiles of tumor-associated neutrophils reveal prominent roles in enhancing angiogenesis in liver tumorigenesis in zebrafish. Scientific Reports. 9(1). 1509–1509. 31 indexed citations
7.
Li, Yan, Ira Agrawal, & Zhiyuan Gong. (2019). Reversion of tumor hepatocytes to normal hepatocytes during liver tumor regression in an oncogene-expressing transgenic zebrafish model. Disease Models & Mechanisms. 12(10). 13 indexed citations
8.
Liu, Chunsheng, Guanyong Su, John P. Giesy, et al.. (2016). Acute Exposure to Tris(1,3-dichloro-2-propyl) Phosphate (TDCIPP) Causes Hepatic Inflammation and Leads to Hepatotoxicity in Zebrafish. Scientific Reports. 6(1). 19045–19045. 65 indexed citations
9.
Huang, Xiaoqian, Ira Agrawal, Zhen Li, et al.. (2016). Transcriptomic Analyses in Zebrafish Cancer Models for Global Gene Expression and Pathway Discovery. Advances in experimental medicine and biology. 916. 147–168. 2 indexed citations
10.
Xu, Hongyan, Caixia Li, Qin Zeng, et al.. (2016). Genome‐wide identification of suitable zebrafish Danio rerio reference genes for normalization of gene expression data by RT‐qPCR. Journal of Fish Biology. 88(6). 2095–2110. 59 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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