Irika R. Sinha

552 citations
9 papers · 286 indexed · 1 hit paper · h-index 5
Topics
Amyotrophic Lateral Sclerosis Research (3 papers)Neurogenetic and Muscular Disorders Research (2 papers)Animal Virus Infections Studies (2 papers)

In The Last Decade

Irika R. Sinha

8 papers receiving 282 citations

Hit Papers

A fluid biomarker reveals loss of TDP-43 splicing repress...20242026202520241020304050

Peers

Irika R. Sinha
Comparison fields: 5 of 46
  • Electrical and Electronic Engineering 163
  • Materials Chemistry 105
  • Polymers and Plastics 63
  • Neurology 48
  • Infectious Diseases 48
Replace Mahsa Faramarzpour with:
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Youngbo Shim South Korea
Chungen Qian China
Adeel Ahmad United States
Yekbun Adıgüzel Türkiye
Sally Yurgelevic United States
Hyo Jin Kim South Korea
Andrew Stephens United States
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Irika R. Sinha relative to Mahsa Faramarzpour Iran Mahsa Faramarzpour's profile →
Citations per field
00.5×7.5×
Mahsa Faramarzpour · 1×
Citations per year

Countries citing papers authored by Irika R. Sinha

Since Specialization
Citations

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

Fields of papers citing papers by Irika R. Sinha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Irika R. Sinha. 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 Irika R. Sinha. The network helps show where Irika R. Sinha may publish in the future.

Co-authorship network of co-authors of Irika R. Sinha

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

All Works

9 of 9 papers shown
#WorkIndexed citations
1 1
2 1
3 0
4
A fluid biomarker reveals loss of TDP-43 splicing repression in presymptomatic ALS–FTDbreakdown →
52
5 10
6 3
7 48
8 7
9 164

About Irika R. Sinha

Irika R. Sinha is a scholar working on Neurology, Animal Science and Zoology and Genetics, having authored 9 papers that have together received 286 indexed citations. Recurring topics across this work include Amyotrophic Lateral Sclerosis Research (3 papers), Neurogenetic and Muscular Disorders Research (2 papers) and Animal Virus Infections Studies (2 papers). The work is most often cited by research in Polymers and Plastics (63 citations), Neurology (48 citations) and Genetics (33 citations). Irika R. Sinha has collaborated with scholars based in United States, United Kingdom and Sweden. Frequent co-authors include Alex K.‐Y. Jen, David S. Ginger, Sarthak Jariwala, Jian Wang, Weifei Fu, Anton M. Sholukh, Leah J. Homad, Koping Chang, Philip C. Wong and Andrew T. McGuire. Their work appears in journals such as Nature Medicine, Nature Communications and Annals of Neurology.

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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