Simrika Thapa

460 citations
22 papers · 297 · h-index 13

Impact in

Papers in

Simrika Thapa

18 papers receiving 292 citations

Peers

Simrika Thapa
Comparison fields: 5 of 60
  • Neurology 71
  • Molecular Biology 170
  • Nutrition and Dietetics 31
  • Physiology 49
  • Agronomy and Crop Science 19
Replace Tim Erkens with:
Tim Erkens Belgium
Ikuro Takakura Japan
Férial Toumi France
Subrata Kumar Shil Bangladesh
Mathias Heikenwaelder Germany
Frank Bootz Switzerland
Liming Zhao China
Alicia Otero Spain
Laurence Lepourry France
Jean‐Yves Douet France
Simrika Thapa relative to Tim Erkens Belgium Tim Erkens's profile →
Citations per field
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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

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202140
2 201529
3 201727
4 201421
5 201818
6 202018
7 201417
8 201917
9 202316
10 201516
11 201716
12 202013
13 201812
14 201812
15 202111
16 202410
17 20252
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
20 20220

About Simrika Thapa

Simrika Thapa is a scholar working on Molecular Biology, Epidemiology, Neurology, Physiology and Virology, having authored 22 papers that have together received 297 indexed citations. Recurring topics across this work include Prion Diseases and Protein Misfolding (12 papers), Alzheimer's disease research and treatments (5 papers), Neurological diseases and metabolism (4 papers), HIV Research and Treatment (3 papers), Trace Elements in Health (3 papers), Immune Response and Inflammation (3 papers), Pneumonia and Respiratory Infections (2 papers) and Viral gastroenteritis research and epidemiology (2 papers). The work is most often cited by research in Neurology (71 citations), Molecular Biology (170 citations), Nutrition and Dietetics (31 citations), Physiology (49 citations) and Agronomy and Crop Science (19 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, Mohamed Faizal Abdul-Careem, Éva Nagy, Sabine Gilch, Lu Li, Samia Hannaoui, Waqas Tahir and Markus Czub. Their work appears in journals such as Journal of Biological Chemistry, Neurology, Scientific Reports, Viruses and Molecular Neurobiology.

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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