Mary B. Makarious

1.2k citations
13 papers · 100 indexed · h-index 5
Topics
Parkinson's Disease Mechanisms and Treatments (5 papers)Bioinformatics and Genomic Networks (3 papers)Microbial Metabolic Engineering and Bioproduction (2 papers)

In The Last Decade

Mary B. Makarious

10 papers receiving 98 citations

Peers

Mary B. Makarious
Comparison fields: 5 of 47
  • Neurology 56
  • Molecular Biology 22
  • Neurology 15
  • Physiology 14
  • Cellular and Molecular Neuroscience 12
Replace Ashwin Ashok Kumar Sreelatha with:
Ashwin Ashok Kumar Sreelatha Germany
Yi Wen Tay Malaysia
Tara Candido Canada
Mario Masellis Canada
Ján Necpál Slovakia
Rauan Kaiyrzhanov United Kingdom
Maria Marano Canada
Steve Gentleman United Kingdom
Kheireddin Mufti Canada
Robert Ortega United States
Mary B. Makarious relative to Ashwin Ashok Kumar Sreelatha Germany Ashwin Ashok Kumar Sreelatha's profile →
Citations per field
00.5×2.7×
Ashwin Ashok Kumar Sreelatha · 1×
Citations per year

Countries citing papers authored by Mary B. Makarious

Since Specialization
Citations

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

Fields of papers citing papers by Mary B. Makarious

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mary B. Makarious. 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 Mary B. Makarious. The network helps show where Mary B. Makarious may publish in the future.

Co-authorship network of co-authors of Mary B. Makarious

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

All Works

13 of 13 papers shown
#WorkIndexed citations
1 0
2 0
3 0
4 2
5 6
6 1
7 4
8 11
9 2
10 8
11 15
12 1
13 50

About Mary B. Makarious

Mary B. Makarious is a scholar working on Neurology, Neurology and Emergency Medical Services, having authored 13 papers that have together received 100 indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (5 papers), Bioinformatics and Genomic Networks (3 papers) and Microbial Metabolic Engineering and Bioproduction (2 papers). The work is most often cited by research in Neurology (56 citations), Neurology (15 citations) and General Psychology (1 citation). Mary B. Makarious has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Mike A. Nalls, Cornelis Blauwendraat, Andrew Singleton, Faraz Faghri, Kimberley J. Billingsley, Sara Bandrés‐Ciga, Hirotaka Iwaki, Alastair J. Noyce, Hampton L. Leonard and Rachneet Kaur. Their work appears in journals such as The American Journal of Human Genetics, Movement Disorders and Alzheimer s & Dementia.

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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