Simrika Thapa

431 citations
19 papers · 278 · h-index 12

Impact in

Papers in

    • Prion Diseases and Protein Misfolding 10
    • RNA and protein synthesis mechanisms 2
    • Neurological diseases and metabolism 4
    • Neuroinflammation and Neurodegeneration Mechanisms 2

Simrika Thapa

18 papers receiving 272 citations

Peers

Simrika Thapa
Comparison fields: 5 of 66
  • Neurology 68
  • Biological Psychiatry 6
  • Molecular Biology 159
  • Agronomy and Crop Science 22
  • Microbiology 13
Replace Ikuro Takakura with:
Ikuro Takakura Japan
Férial Toumi France
Anne Wöhlke Germany
Frank Bootz Switzerland
Erica L. Beatman United States
Tim Erkens Belgium
Maxence Frétaud France
Subrata Kumar Shil Bangladesh
Jodi D. Smith United States
Simrika Thapa relative to Ikuro Takakura Japan Ikuro Takakura's profile →
Citations per field
00.5×7.8×
Ikuro Takakura · 1×
Citations per year

Countries citing papers authored by Simrika Thapa

Since Specialization
Citations

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

Fields of papers citing papers by Simrika Thapa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 202138
2 201530
3 201725
4 201420
5 202017
6 201917
7 201417
8 201516
9 202316
10 201814
11 201714
12 202012
13 201811
14 201810
15 20219
16 20249
17 20251
18 20111
19
Molecular modeling and functional characterization of a pertinent enzyme in Streptococcus pneumoniae serotype-2: A potential target for the development of novel pneumonia drug
20131

About Simrika Thapa

Simrika Thapa is a scholar working on Molecular Biology, Neurology, Epidemiology, Physiology and Nutrition and Dietetics, having authored 19 papers that have together received 278 indexed citations. Recurring topics across this work include Prion Diseases and Protein Misfolding (10 papers), Alzheimer's disease research and treatments (5 papers), Neurological diseases and metabolism (4 papers), Trace Elements in Health (3 papers), Immune Response and Inflammation (3 papers), HIV Research and Treatment (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers) and RNA and protein synthesis mechanisms (2 papers). The work is most often cited by research in Neurology (68 citations), Biological Psychiatry (6 citations), Molecular Biology (159 citations), Agronomy and Crop Science (22 citations) and Microbiology (13 citations). Simrika Thapa has collaborated with scholars based in Canada, Egypt and United States. Frequent co-authors include Hermann Schätzl, Dalia H. Abdelaziz, Basant Abdulrahman, Éva Nagy, Mohamed Faizal Abdul-Careem, Sabine Gilch, Lu Li, Waqas Tahir, Samia Hannaoui and Markus Czub. Their work appears in journals such as Journal of Biological Chemistry, Scientific Reports, Alzheimer s & Dementia, GeroScience and Veterinary Immunology and Immunopathology.

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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