Pinki Munot

1.8k citations
51 papers · 718 · h-index 15

Impact in

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

Papers in

    • RNA modifications and cancer 8
    • Muscle Physiology and Disorders 8
    • Ion channel regulation and function 4
    • Neurogenetic and Muscular Disorders Research 18

Pinki Munot

45 papers receiving 694 citations

Peers

Pinki Munot
Comparison fields: 5 of 68
  • Neurology 205
  • Genetics 127
  • Rheumatology 96
  • Cellular and Molecular Neuroscience 113
  • Hematology 68
Replace Pierre Lozeron with:
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Susanna Ruggero Italy
Tae Chung United States
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Madoka Mori‐Yoshimura Japan
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Elisabetta Toffanin Italy
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Citations per field
00.5×1.5×
Pierre Lozeron · 1×
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 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201285
2 201165
3 201050
4 201143
5 201041
6
Neonatal hypoglycemic brain - injury a common cause of infantile onset remote symptomatic epilepsy.
200941
7 200740
8 201037
9 202033
10 202030
11 201924
12 201719
13 202117
14 202016
15 201915
16 201814
17 202014
18 202014
19 201611
20 202211

About Pinki Munot

Pinki Munot is a scholar working on Molecular Biology, Genetics, Neurology, Surgery and Genetics, having authored 51 papers that have together received 718 indexed citations. Recurring topics across this work include Neurogenetic and Muscular Disorders Research (18 papers), RNA modifications and cancer (8 papers), Congenital Anomalies and Fetal Surgery (8 papers), Muscle Physiology and Disorders (8 papers), Myasthenia Gravis and Thymoma (5 papers), Hereditary Neurological Disorders (4 papers), Cardiomyopathy and Myosin Studies (4 papers) and Ion channel regulation and function (4 papers). The work is most often cited by research in Neurology (205 citations), Genetics (127 citations), Rheumatology (96 citations), Cellular and Molecular Neuroscience (113 citations) and Hematology (68 citations). Pinki Munot has collaborated with scholars based in United Kingdom, Italy and United States. Frequent co-authors include Vijeya Ganesan, Francesco Muntoni, Yanick J. Crow, Sonal Gupta, S. Robb, Heinz Jungbluth, Francesco Muntoni, Vrajesh Udani, Cheryl Hemingway and Dawn E. Saunders. Their work appears in journals such as Neuromuscular Disorders, Archives of Disease in Childhood, Brain, European Journal of Paediatric Neurology and The Journal of 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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