Nirma D. Perera

3.8k total citations
17 papers, 618 citations indexed

About

Nirma D. Perera is a scholar working on Neurology, Epidemiology and Genetics. According to data from OpenAlex, Nirma D. Perera has authored 17 papers receiving a total of 618 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Neurology, 7 papers in Epidemiology and 5 papers in Genetics. Recurrent topics in Nirma D. Perera's work include Amyotrophic Lateral Sclerosis Research (15 papers), Parkinson's Disease Mechanisms and Treatments (8 papers) and Autophagy in Disease and Therapy (7 papers). Nirma D. Perera is often cited by papers focused on Amyotrophic Lateral Sclerosis Research (15 papers), Parkinson's Disease Mechanisms and Treatments (8 papers) and Autophagy in Disease and Therapy (7 papers). Nirma D. Perera collaborates with scholars based in Australia, United States and United Kingdom. Nirma D. Perera's co-authors include Bradley J. Turner, Doris Tomas, Philip M. Beart, Rebecca K. Sheean, André L. Samson, James M. Murphy, Malcolm Horne, Fazel Shabanpoor, Sophia J. Luikinga and Chew L. Lau and has published in prestigious journals such as International Journal of Molecular Sciences, Human Molecular Genetics and Progress in Neurobiology.

In The Last Decade

Nirma D. Perera

16 papers receiving 612 citations

Peers

Nirma D. Perera
Comparison fields: 5 of 62
  • Neurology 332
  • Molecular Biology 271
  • Genetics 142
  • Epidemiology 126
  • Neurology 122
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Ekaterina V. Ilieva Spain
Maria Rosário Almeida Portugal
Andrew Hwang United States
Giovanni Nardo Italy
Kei Fukada Japan
Sou Sugitani Japan
Rafael Sánchez‐Sánchez Spain
Yunhe Gu China
Yuriy Shapovalov United States View profile →
Citations per field, relative to Nirma D. Perera
Nirma D. Perera · 1×
Citations per year, relative to Nirma D. Perera
Nirma D. Perera · 1×

Countries citing papers authored by Nirma D. Perera

Since Specialization
Citations

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

Fields of papers citing papers by Nirma D. Perera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nirma D. Perera. 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 Nirma D. Perera. The network helps show where Nirma D. Perera may publish in the future.

Co-authorship network of co-authors of Nirma D. Perera

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

All Works

17 of 17 papers shown
# Work Indexed citations
1 0
2 1
3 1
4 5
5 12
6 4
7 3
8 17
9 123
10 59
11 59
12 122
13 62
14 77
15 19
16 41
17 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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