Binod Rayamajhee

1.6k citations
43 papers · 1.0k · h-index 17

Impact in

Papers in

Binod Rayamajhee

43 papers receiving 1.0k citations

Peers

Binod Rayamajhee
Comparison fields: 5 of 126
  • Endocrinology 208
  • Modeling and Simulation 51
  • Molecular Medicine 52
  • Infectious Diseases 150
  • Parasitology 53
Replace Abolghasem Siyadatpanah with:
Abolghasem Siyadatpanah Iran
Bamidele Iwalokun Nigeria
Wilfred Fon Mbacham Cameroon
Eirini Christaki Greece
Zakuan Zainy Deris Malaysia
Yi‐Tsung Lin Taiwan
Mohsen Heidary Iran
Shailesh Kumar Patel India
Saeed Khoshnood Iran
Alison Smith‐Palmer United Kingdom
Binod Rayamajhee relative to Abolghasem Siyadatpanah Iran Abolghasem Siyadatpanah's profile →
Citations per field
00.5×3.4×
Abolghasem Siyadatpanah · 1×
Citations per year

Countries citing papers authored by Binod Rayamajhee

Since Specialization
Citations

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

Fields of papers citing papers by Binod Rayamajhee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020181
2 2020107
3 202183
4 201871
5 202256
6 202153
7 202138
8 202138
9 202032
10 202131
11 202029
12 202226
13 201924
14 202318
15 202118
16 202217
17 202416
18 202214
19 201813
20 202413

About Binod Rayamajhee

Binod Rayamajhee is a scholar working on Endocrinology, Molecular Biology, Infectious Diseases, Ophthalmology and Epidemiology, having authored 43 papers that have together received 1.0k indexed citations. Recurring topics across this work include Legionella and Acanthamoeba research (11 papers), Bacterial biofilms and quorum sensing (7 papers), Antibiotic Resistance in Bacteria (6 papers), Ocular Infections and Treatments (6 papers), Pneumonia and Respiratory Infections (3 papers), COVID-19 and Mental Health (3 papers), Ocular Surface and Contact Lens (3 papers) and COVID-19 Clinical Research Studies (3 papers). The work is most often cited by research in Endocrinology (208 citations), Modeling and Simulation (51 citations), Molecular Medicine (52 citations), Infectious Diseases (150 citations) and Parasitology (53 citations). Binod Rayamajhee has collaborated with scholars based in Australia, Nepal and United States. Frequent co-authors include Nicole Carnt, Fiona L. Henriquez, Uday Narayan Yadav, Sabuj Kanti Mistry, Shyam Kumar Mishra, Bibek Raj Bhattarai, Mark Willcox, Niranjan Parajuli, Santosh Khanal and Samendra P. Sherchan. Their work appears in journals such as Frontiers in Public Health, PLoS ONE, Pathogens, Antibiotics and BMC Geriatrics.

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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