S. Manilal

1.3k citations
16 papers · 1.0k · h-index 13

Impact in

    • Nuclear Structure and Function
    • RNA Research and Splicing
    • Genomics and Chromatin Dynamics
    • RNA regulation and disease
    • Muscle Physiology and Disorders

Papers in

    • Nuclear Structure and Function 12
    • RNA Research and Splicing 12
    • Genomics and Chromatin Dynamics 5
    • RNA regulation and disease 3
    • Muscle Physiology and Disorders 2
    • Peroxisome Proliferator-Activated Receptors 1
    • Genetic Neurodegenerative Diseases 2

S. Manilal

16 papers receiving 985 citations

Peers

S. Manilal
Comparison fields: 5 of 42
  • Molecular Biology 962
  • Developmental Biology 21
  • Cell Biology 112
  • Genetics 43
  • Cellular and Molecular Neuroscience 53
Replace Mita Mancini with:
Mita Mancini Italy
Matthew Wheeler United Kingdom
Francesco Muntoni United Kingdom
J.A. Urtizberea France
Sylvia Vlcek Austria
Malgorzata E. Quinn United States
Sascha Neumann Germany
Michael S. Zastrow United States
Sara J. Venters United States
J. van Reeuwijk Netherlands
S. Manilal relative to Mita Mancini Italy Mita Mancini's profile →
Citations per field
00.5×
Mita Mancini · 1×
Citations per year

Countries citing papers authored by S. Manilal

Since Specialization
Citations

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

Fields of papers citing papers by S. Manilal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. Manilal. 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 S. Manilal. The network helps show where S. Manilal may publish in the future.

Co-authors

The 25 scholars most cited alongside S. Manilal, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with S. Manilal Line = papers co-authored together S. Manilal links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 1996306
2 2000207
3 199887
4 200386
5 199981
6 199755
7 199840
8 200134
9 199827
10 200420
11 199918
12 200214
13 200112
14 19968
15 19936
16
DNA-based diagnostics for adrenoleukodystrophy in a large New Zealand family.
19961

About S. Manilal

S. Manilal is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cardiology and Cardiovascular Medicine, Biotechnology and Infectious Diseases, having authored 16 papers that have together received 1.0k indexed citations. Recurring topics across this work include Nuclear Structure and Function (12 papers), RNA Research and Splicing (12 papers), Genomics and Chromatin Dynamics (5 papers), RNA regulation and disease (3 papers), Muscle Physiology and Disorders (2 papers), Genetic Neurodegenerative Diseases (2 papers), Peroxisome Proliferator-Activated Receptors (1 paper) and Cardiovascular Effects of Exercise (1 paper). The work is most often cited by research in Molecular Biology (962 citations), Developmental Biology (21 citations), Cell Biology (112 citations), Genetics (43 citations) and Cellular and Molecular Neuroscience (53 citations). S. Manilal has collaborated with scholars based in United Kingdom, New Zealand and France. Frequent co-authors include Glenn E. Morris, Lisa Clements, Donald R. Love, Nguyen thi Man, Ian Holt, Caroline A. Sewry, Fiona L. Wilkinson, Francesco Muntoni, Katherine L. Wilson and Aarti Sharma. Their work appears in journals such as Biochemical and Biophysical Research Communications, Neuromuscular Disorders, Human Molecular Genetics, Biochimica et Biophysica Acta (BBA) - General Subjects and Cell Biology International.

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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