Megha Uppin

999 citations
29 papers · 204 indexed · h-index 9
Topics
Mitochondrial Function and Pathology (5 papers)Glioma Diagnosis and Treatment (5 papers)Inflammatory Myopathies and Dermatomyositis (4 papers)
Journals
SHILAP Revista de lepidopterologíaInvestigative Ophthalmology & Visual ScienceScientific Data
Partner nations
IndiaUnited Kingdom

In The Last Decade

Megha Uppin

23 papers receiving 201 citations

Peers

Megha Uppin
Comparison fields: 5 of 44
  • Molecular Biology 85
  • Epidemiology 78
  • Microbiology 29
  • Small Animals 28
  • Genetics 23
Replace Vilavun Puangsricharern with:
Vilavun Puangsricharern Thailand
Satoru Fujiuchi Japan
Seema Anand United Kingdom
Renate van der Molen Netherlands
Emily Staples United Kingdom
Norman Saffra United States
Johanna Schrum Germany
Cheuk W. Yung United States
Paul D. Hulseberg United States
Maanasa Indaram United States
Megha Uppin relative to Vilavun Puangsricharern Thailand Vilavun Puangsricharern's profile →
Citations per field
00.5×4.1×
Vilavun Puangsricharern · 1×
Citations per year

Countries citing papers authored by Megha Uppin

Since Specialization
Citations

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

Fields of papers citing papers by Megha Uppin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Megha Uppin

This figure shows the co-authorship network connecting the top 25 collaborators of Megha Uppin. A scholar is included among the top collaborators of Megha Uppin 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 Megha Uppin. Megha Uppin 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
#WorkIndexed citations
1 3
2 0
3 0
4 0
5 3
6 0
7 2
8 1
9 0
10 5
11 3
12 8
13 13
14 22
15 8
16 18
17 7
18 1
19 14
20 17

About Megha Uppin

Megha Uppin is a scholar working on Microbiology, Genetics and Neurology, having authored 29 papers that have together received 204 indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (5 papers), Glioma Diagnosis and Treatment (5 papers) and Inflammatory Myopathies and Dermatomyositis (4 papers). The work is most often cited by research in Microbiology (29 citations), Small Animals (28 citations) and Clinical Biochemistry (22 citations). Megha Uppin has collaborated with scholars based in India and United Kingdom. Frequent co-authors include Sundaram Challa, Somanath Padhi, Saumya Jakati, Liza Rajasekhar, Umabala Pamidimukkala, Vijay Laxmi, Kumarasamy Thangaraj, Vamsi Krishna, Parayil Sankaran Bindu and Nahid Khan. Their work appears in journals such as SHILAP Revista de lepidopterología, Investigative Ophthalmology & Visual Science and Scientific Data.

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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