Mariah J. Lelos

1.1k citations
40 papers · 764 indexed · h-index 12
Topics
Neurological disorders and treatments (14 papers)Parkinson's Disease Mechanisms and Treatments (11 papers)Nerve injury and regeneration (11 papers)

In The Last Decade

Mariah J. Lelos

36 papers receiving 750 citations

Peers

Mariah J. Lelos
Comparison fields: 5 of 71
  • Cellular and Molecular Neuroscience 431
  • Molecular Biology 430
  • Neurology 218
  • Developmental Neuroscience 118
  • Physiology 113
Replace Er-Yun Chen with:
Er-Yun Chen United States
Emma L. Lane United Kingdom
Doris Tomas Australia
Dong‐ho Youn South Korea
Helge C. Johannssen Switzerland
Seema Tevar United States
Amir Shojaei Iran
Thiago Arzua United States
Marie‐Noëlle Castel France
Nicolas Giguère Canada
Mariah J. Lelos relative to Er-Yun Chen United States Er-Yun Chen's profile →
Citations per field
00.5×8.2×
Er-Yun Chen · 1×
Citations per year

Countries citing papers authored by Mariah J. Lelos

Since Specialization
Citations

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

Fields of papers citing papers by Mariah J. Lelos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mariah J. Lelos. 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 Mariah J. Lelos. The network helps show where Mariah J. Lelos may publish in the future.

Co-authorship network of co-authors of Mariah J. Lelos

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 0
4 8
5 1
6 14
7 48
8 5
9 2
10 6
11 7
12 7
13 24
14 26
15 9
16 7
17 88
18 8
19 33
20 34

About Mariah J. Lelos

Mariah J. Lelos is a scholar working on Cellular and Molecular Neuroscience, Developmental Neuroscience and Neurology, having authored 40 papers that have together received 764 indexed citations. Recurring topics across this work include Neurological disorders and treatments (14 papers), Parkinson's Disease Mechanisms and Treatments (11 papers) and Nerve injury and regeneration (11 papers). The work is most often cited by research in Developmental Neuroscience (118 citations), Cellular and Molecular Neuroscience (431 citations) and Neurology (218 citations). Mariah J. Lelos has collaborated with scholars based in United Kingdom, United States and Sweden. Frequent co-authors include Stephen B. Dunnett, Andreas Heuer, Emma L. Lane, Mark Good, Gaynor A. Smith, Daniella Rylander Ottosson, Thomas Perlmann, Nigel Kee, Tiago Cardoso and Shane Grealish. Their work appears in journals such as Nature, Development and Scientific Reports.

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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