Katherine E. Irwin

482 total citations · 2 hit papers
10 papers, 202 citations indexed

About

Katherine E. Irwin is a scholar working on Molecular Biology, Neurology and Genetics. According to data from OpenAlex, Katherine E. Irwin has authored 10 papers receiving a total of 202 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Neurology and 2 papers in Genetics. Recurrent topics in Katherine E. Irwin's work include Amyotrophic Lateral Sclerosis Research (4 papers), Retinal Development and Disorders (2 papers) and Alzheimer's disease research and treatments (2 papers). Katherine E. Irwin is often cited by papers focused on Amyotrophic Lateral Sclerosis Research (4 papers), Retinal Development and Disorders (2 papers) and Alzheimer's disease research and treatments (2 papers). Katherine E. Irwin collaborates with scholars based in United States, United Kingdom and Taiwan. Katherine E. Irwin's co-authors include Claire E. Sexton, Lorina Naçi, Brian Lawlor, Philip C. Wong, Tania F. Gendron, Koping Chang, Abhay Moghekar, Jonathan P. Ling, Juan C. Troncoso and Bryan J. Traynor and has published in prestigious journals such as Nature Medicine, Nature Communications and Annals of Neurology.

In The Last Decade

Katherine E. Irwin

8 papers receiving 202 citations

Hit Papers

A fluid biomarker reveals loss of TDP-43 splicing repress... 2024 2026 2025 2024 2024 10 20 30 40 50

Peers

Katherine E. Irwin
Comparison fields: 5 of 74
  • Neurology 77
  • Molecular Biology 62
  • Genetics 44
  • Psychiatry and Mental health 35
  • Physiology 34
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Nicoleta Carmen Cosma Germany
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Patrick B. Moloney Ireland
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Citations per field, relative to Katherine E. Irwin
Katherine E. Irwin · 1×
Citations per year, relative to Katherine E. Irwin
Katherine E. Irwin · 1×

Countries citing papers authored by Katherine E. Irwin

Since Specialization
Citations

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

Fields of papers citing papers by Katherine E. Irwin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Katherine E. Irwin. 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 Katherine E. Irwin. The network helps show where Katherine E. Irwin may publish in the future.

Co-authorship network of co-authors of Katherine E. Irwin

This figure shows the co-authorship network connecting the top 25 collaborators of Katherine E. Irwin. A scholar is included among the top collaborators of Katherine E. Irwin 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 Katherine E. Irwin. Katherine E. Irwin 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
# Work Indexed citations
1 1
2 1
3
Fluid biomarkers for amyotrophic lateral sclerosis: a review breakdown →
34
4 0
5
A fluid biomarker reveals loss of TDP-43 splicing repression in presymptomatic ALS–FTD breakdown →
52
6 0
7 16
8 10
9 75
10 13

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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