Sharmilee Gnanapavan

4.2k total citations · 3 hit papers
71 papers, 2.6k citations indexed

About

Sharmilee Gnanapavan is a scholar working on Pathology and Forensic Medicine, Neurology and Rheumatology. According to data from OpenAlex, Sharmilee Gnanapavan has authored 71 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Pathology and Forensic Medicine, 23 papers in Neurology and 11 papers in Rheumatology. Recurrent topics in Sharmilee Gnanapavan's work include Multiple Sclerosis Research Studies (39 papers), Peripheral Neuropathies and Disorders (10 papers) and Polyomavirus and related diseases (10 papers). Sharmilee Gnanapavan is often cited by papers focused on Multiple Sclerosis Research Studies (39 papers), Peripheral Neuropathies and Disorders (10 papers) and Polyomavirus and related diseases (10 papers). Sharmilee Gnanapavan collaborates with scholars based in United Kingdom, United States and Netherlands. Sharmilee Gnanapavan's co-authors include Gavin Giovannoni, Stephen A. Bustin, Márta Korbonits, R Carpenter, Ashley Grossman, Damian Morris, Peter D. Fairclough, Patrick McGee, Satya Bhattacharya and Blerina Kola and has published in prestigious journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and Neurology.

In The Last Decade

Sharmilee Gnanapavan

67 papers receiving 2.6k citations

Hit Papers

The Tissue Distribution of the mRNA of Ghrelin and Subtyp... 2002 2026 2010 2018 2002 2015 2024 250 500 750 1000

Peers

Sharmilee Gnanapavan
Comparison fields: 5 of 112
  • Endocrine and Autonomic Systems 1.0k
  • Pathology and Forensic Medicine 928
  • Physiology 710
  • Nutrition and Dietetics 678
  • Neurology 473
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Citations per field, relative to Sharmilee Gnanapavan
Sharmilee Gnanapavan · 1×
Citations per year, relative to Sharmilee Gnanapavan
Sharmilee Gnanapavan · 1×

Countries citing papers authored by Sharmilee Gnanapavan

Since Specialization
Citations

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

Fields of papers citing papers by Sharmilee Gnanapavan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sharmilee Gnanapavan

This figure shows the co-authorship network connecting the top 25 collaborators of Sharmilee Gnanapavan. A scholar is included among the top collaborators of Sharmilee Gnanapavan 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 Sharmilee Gnanapavan. Sharmilee Gnanapavan 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
# Work Indexed citations
1 0
2 1
3 3
4 4
5 0
6 2
7 2
8 36
9 5
10 6
11 1
12 14
13
Treating multiple sclerosis with generic cladribine
1
14 1
15
Is it time to target no evident disease activity (NEDA) in multiple sclerosis? breakdown →
275
16 7
17 6
18 42
19 3
20 13

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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