Isha Monga

543 citations
11 papers · 304 · h-index 10

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
  • Urology top 10%
    • Hair Growth and Disorders

Papers in

    • RNA modifications and cancer 3
    • RNA Interference and Gene Delivery 2
    • RNA regulation and disease 2
    • MicroRNA in disease regulation 4
    • Cancer-related molecular mechanisms research 3

Isha Monga

11 papers receiving 296 citations

Peers

Isha Monga
Comparison fields: 5 of 69
  • Cancer Research 88
  • Urology 32
  • Molecular Biology 187
  • Immunology 31
  • Infectious Diseases 25
Replace Meiling Jin with:
Meiling Jin China
Vivek Tripathi India
Jillian de Wilde Netherlands
Pradip Roy-Burman United States
Subodh Kumar United States
Betsy R. Butler United States
Alex N. Eischeid United States
Qun Xie China
Britta Lötstedt Sweden
Miriam Groß Germany
Isha Monga relative to Meiling Jin China Meiling Jin's profile →
Citations per field
00.5×10×16×
Meiling Jin · 1×
Citations per year

Countries citing papers authored by Isha Monga

Since Specialization
Citations

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

Fields of papers citing papers by Isha Monga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 201488
2 202160
3 201637
4 201924
5 202220
6 201916
7 201715
8 202215
9 202215
10 202213
11 20211

About Isha Monga

Isha Monga is a scholar working on Molecular Biology, Cancer Research, Urology, Immunology and Dermatology, having authored 11 papers that have together received 304 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (4 papers), Hair Growth and Disorders (3 papers), RNA modifications and cancer (3 papers), Cancer-related molecular mechanisms research (3 papers), RNA Interference and Gene Delivery (2 papers), Immune Cell Function and Interaction (2 papers), RNA regulation and disease (2 papers) and Dermatologic Treatments and Research (1 paper). The work is most often cited by research in Cancer Research (88 citations), Urology (32 citations), Molecular Biology (187 citations), Immunology (31 citations) and Infectious Diseases (25 citations). Isha Monga has collaborated with scholars based in India, United States and Australia. Frequent co-authors include Manoj Kumar, Abid Qureshi, Nishant Thakur, Anamika Thakur, Amarinder Singh Thind, Marie Ranson, Prasoon Kumar Thakur, Bruce Ashford, Indranil Banerjee and Sandeep Kumar Dhanda. Their work appears in journals such as Nature Communications, Briefings in Functional Genomics, Briefings in Bioinformatics, Database and G3 Genes Genomes Genetics.

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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