Nilakshi Barua

470 citations
25 papers · 284 indexed · h-index 11
Topics
Antimicrobial Resistance in Staphylococcus (6 papers)Bacterial biofilms and quorum sensing (4 papers)Bacterial Identification and Susceptibility Testing (3 papers)
Partner nations
Hong KongChinaIndia

In The Last Decade

Nilakshi Barua

24 papers receiving 280 citations

Peers

Nilakshi Barua
Comparison fields: 5 of 87
  • Molecular Biology 111
  • Infectious Diseases 48
  • Biomedical Engineering 46
  • Molecular Medicine 35
  • Materials Chemistry 34
Replace Ying Kong with:
Ying Kong United States
Navindra Kumari Palanisamy Malaysia
Xueya Zhang China
Muhammad Ali Shah Pakistan
Aoife M. Rodgers United Kingdom
Eshant Bhatia India
Mohammed Ali Bakkari Saudi Arabia
Annette E. LaBauve United States
Haiyong Guo China
Murat Topuzoğulları Türkiye
Nilakshi Barua relative to Ying Kong United States Ying Kong's profile →
Citations per field
00.5×1.5×2.1×
Ying Kong · 1×
Citations per year

Countries citing papers authored by Nilakshi Barua

Since Specialization
Citations

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

Fields of papers citing papers by Nilakshi Barua

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nilakshi Barua

This figure shows the co-authorship network connecting the top 25 collaborators of Nilakshi Barua. A scholar is included among the top collaborators of Nilakshi Barua based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nilakshi Barua. Nilakshi Barua is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 3
2 0
3 1
4 7
5 6
6 27
7 4
8 37
9 10
10 13
11 8
12 20
13 27
14 5
15 19
16 1
17 20
18 21
19 11
20 2

About Nilakshi Barua

Nilakshi Barua is a scholar working on Molecular Medicine, Infectious Diseases and Clinical Biochemistry, having authored 25 papers that have together received 284 indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (6 papers), Bacterial biofilms and quorum sensing (4 papers) and Bacterial Identification and Susceptibility Testing (3 papers). The work is most often cited by research in Molecular Medicine (35 citations), Microbiology (18 citations) and Infectious Diseases (48 citations). Nilakshi Barua has collaborated with scholars based in Hong Kong, China and India. Frequent co-authors include Margaret Ip, Alak Kumar Buragohain, Niranjan Karak, Sujata Pramanik, Rocktotpal Konwarh, Sunny H. Wong, Xiao Yang, Paul K.S. Chan, Norman Lo and Carmen Li. Their work appears in journals such as PLoS ONE, Carbon and The Journal of Physical Chemistry C.

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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