Bimal Koirala

672 citations
15 papers · 511 · 1 hit paper · h-index 11

Impact in

Papers in

    • Genomics and Phylogenetic Studies 4
    • Biochemical and Structural Characterization 2
    • Microbial Natural Products and Biosynthesis 6

Bimal Koirala

15 papers receiving 509 citations

Bimal Koirala's Hit Papers

A naturally inspired antibiotic to target multidrug-resistant pathogens 2022 · 165 citations
1650+1+2Years since publication50100150

Peers

Bimal Koirala
Comparison fields: 5 of 69
  • Microbiology 125
  • Molecular Medicine 80
  • Pharmacology 162
  • Applied Microbiology and Biotechnology 11
  • Infectious Diseases 80
Replace Maxime Gualtiéri with:
Maxime Gualtiéri France
Roberta J. Melander United States
Janne Kudsk Klitgaard Denmark
Tulika Munshi United Kingdom
Sunniva Foerster Sweden
Sun Meiling China
Steven M. Kwasny United States
Martin S. Linsell United States
Terrance Moore United States
Meghan S. Blackledge United States
Bimal Koirala relative to Maxime Gualtiéri France Maxime Gualtiéri's profile →
Citations per field
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Maxime Gualtiéri · 1×
Citations per year

Countries citing papers authored by Bimal Koirala

Since Specialization
Citations

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

Fields of papers citing papers by Bimal Koirala

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1
A naturally inspired antibiotic to target multidrug-resistant pathogens
Hit paper breakdown →
2022165
2 202286
3 201750
4 202047
5 202136
6 201825
7 202120
8 202117
9 201813
10 202110
11 201910
12 201910
13 20219
14 20229
15 20244

About Bimal Koirala

Bimal Koirala is a scholar working on Molecular Biology, Pharmacology, Epidemiology, Microbiology and Infectious Diseases, having authored 15 papers that have together received 511 indexed citations. Recurring topics across this work include Pneumonia and Respiratory Infections (6 papers), Microbial Natural Products and Biosynthesis (6 papers), Bacterial Infections and Vaccines (5 papers), Antimicrobial Resistance in Staphylococcus (4 papers), Genomics and Phylogenetic Studies (4 papers), Biochemical and Structural Characterization (2 papers), Antibiotic Resistance in Bacteria (2 papers) and Vitamin K Research Studies (1 paper). The work is most often cited by research in Microbiology (125 citations), Molecular Medicine (80 citations), Pharmacology (162 citations), Applied Microbiology and Biotechnology (11 citations) and Infectious Diseases (80 citations). Bimal Koirala has collaborated with scholars based in United States. Frequent co-authors include Sean F. Brady, Yözen Hernández, Zongqiang Wang, Matthew Zimmerman, Yftah Tal‐Gan, David S. Perlin, Steven Park, Melinda A. Ternei, Yi‐Fang Yang and Riccardo Russo. Their work appears in journals such as ChemBioChem, Organic Letters, ACS Chemical Biology, Nature Microbiology and Nature.

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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