Pinki Munot

1.8k citations
54 papers · 782 · h-index 15

Impact in

  • Neurology top 5%
    • Myasthenia Gravis and Thymoma
  • Genetics top 10%
    • Neurogenetic and Muscular Disorders Research
    • Connective tissue disorders research

Papers in

    • Muscle Physiology and Disorders 6
    • RNA modifications and cancer 6
    • Ion channel regulation and function 5
    • Neurogenetic and Muscular Disorders Research 18
    • Genetics and Neurodevelopmental Disorders 4

Pinki Munot

47 papers receiving 752 citations

Peers

Pinki Munot
Comparison fields: 5 of 64
  • Neurology 177
  • Genetics 117
  • Rheumatology 85
  • Hematology 60
  • Cellular and Molecular Neuroscience 103
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Citations per field
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Citations per year

Countries citing papers authored by Pinki Munot

Since Specialization
Citations

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

Fields of papers citing papers by Pinki Munot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Pinki Munot, 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 Pinki Munot Line = papers co-authored together Pinki Munot links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201293
2 201176
3 201055
4 201050
5 201146
6 200743
7
Neonatal hypoglycemic brain - injury a common cause of infantile onset remote symptomatic epilepsy.
200942
8 201037
9 202034
10 202031
11 201925
12 201723
13 202118
14 202018
15 201915
16 201814
17 202014
18 202014
19 202214
20 201611

About Pinki Munot

Pinki Munot is a scholar working on Molecular Biology, Genetics, Neurology, Surgery and Genetics, having authored 54 papers that have together received 782 indexed citations. Recurring topics across this work include Neurogenetic and Muscular Disorders Research (18 papers), Muscle Physiology and Disorders (6 papers), RNA modifications and cancer (6 papers), Myasthenia Gravis and Thymoma (5 papers), Ion channel regulation and function (5 papers), Congenital Anomalies and Fetal Surgery (5 papers), Genetics and Neurodevelopmental Disorders (4 papers) and Hereditary Neurological Disorders (4 papers). The work is most often cited by research in Neurology (177 citations), Genetics (117 citations), Rheumatology (85 citations), Hematology (60 citations) and Cellular and Molecular Neuroscience (103 citations). Pinki Munot has collaborated with scholars based in United Kingdom, United States and India. Frequent co-authors include Vijeya Ganesan, Francesco Muntoni, Yanick J. Crow, S. Robb, Sonal Gupta, Heinz Jungbluth, Francesco Muntoni, Stephen Abbs, Suresh Pujar and Shailendra Maheshwari. Their work appears in journals such as Neuromuscular Disorders, Archives of Disease in Childhood, Brain, European Journal of Paediatric Neurology and Frontiers in Pediatrics.

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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