Shikha Koul

481 total citations
12 papers, 264 citations indexed

About

Shikha Koul is a scholar working on Molecular Biology, Ecology and Genetics. According to data from OpenAlex, Shikha Koul has authored 12 papers receiving a total of 264 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 3 papers in Ecology and 3 papers in Genetics. Recurrent topics in Shikha Koul's work include Bacterial biofilms and quorum sensing (3 papers), Genomics and Phylogenetic Studies (3 papers) and Bacterial Identification and Susceptibility Testing (2 papers). Shikha Koul is often cited by papers focused on Bacterial biofilms and quorum sensing (3 papers), Genomics and Phylogenetic Studies (3 papers) and Bacterial Identification and Susceptibility Testing (2 papers). Shikha Koul collaborates with scholars based in India. Shikha Koul's co-authors include Vipin Chandra Kalia, Anjali Mishra, Prasun Kumar, Ravi Kumar, Subhasree Ray, Rakesh Sharma and Vandana Sharma and has published in prestigious journals such as Indian Journal of Microbiology, Journal of Molecular and Genetic Medicine and Asian Journal of Biochemistry Genetics and Molecular Biology.

In The Last Decade

Shikha Koul

10 papers receiving 257 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Shikha Koul India 10 155 50 37 36 32 12 264
Sorujsiri Chareonsudjai Thailand 12 124 0.8× 49 1.0× 30 0.8× 28 0.8× 17 0.5× 35 371
Deeksha Chandola India 5 163 1.1× 37 0.7× 49 1.3× 47 1.3× 17 0.5× 7 395
Patrick Bales United States 3 145 0.9× 20 0.4× 61 1.6× 27 0.8× 21 0.7× 4 277
Tesfalem Zere United States 7 246 1.6× 58 1.2× 53 1.4× 31 0.9× 20 0.6× 10 410
Corinne Benoliel France 5 249 1.6× 50 1.0× 20 0.5× 74 2.1× 33 1.0× 5 387
Martyna Leszczewicz Poland 5 121 0.8× 92 1.8× 32 0.9× 45 1.3× 31 1.0× 7 358
Tatsunori Kiyokawa Japan 4 226 1.5× 48 1.0× 60 1.6× 38 1.1× 14 0.4× 8 350
Bram Lories Belgium 8 180 1.2× 43 0.9× 60 1.6× 60 1.7× 14 0.4× 21 357
Ajay K. Monnappa South Korea 10 241 1.6× 50 1.0× 70 1.9× 27 0.8× 21 0.7× 15 431
Amenah S. Alotaibi Saudi Arabia 13 58 0.4× 56 1.1× 24 0.6× 49 1.4× 28 0.9× 23 356

Countries citing papers authored by Shikha Koul

Since Specialization
Citations

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

Fields of papers citing papers by Shikha Koul

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shikha Koul

This figure shows the co-authorship network connecting the top 25 collaborators of Shikha Koul. A scholar is included among the top collaborators of Shikha Koul 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 Shikha Koul. Shikha Koul is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
1.
Koul, Shikha, et al.. (2023). Nondisjunction in Trisomy 21: Origin and Mechanisms. Asian Journal of Biochemistry Genetics and Molecular Biology. 15(2). 1–9.
2.
3.
Sharma, Rakesh, et al.. (2017). Wastewater: A Potential Bioenergy Resource. Indian Journal of Microbiology. 58(2). 127–137. 14 indexed citations
4.
Koul, Shikha & Vipin Chandra Kalia. (2016). Multiplicity of Quorum Quenching Enzymes: A Potential Mechanism to Limit Quorum Sensing Bacterial Population. Indian Journal of Microbiology. 57(1). 100–108. 26 indexed citations
5.
Kumar, Ravi, Shikha Koul, Prasun Kumar, & Vipin Chandra Kalia. (2016). Searching Biomarkers in the Sequenced Genomes of Staphylococcus for their Rapid Identification. Indian Journal of Microbiology. 56(1). 64–71. 14 indexed citations
6.
Kalia, Vipin Chandra, et al.. (2016). Biorefinery for Glycerol Rich Biodiesel Industry Waste. Indian Journal of Microbiology. 56(2). 113–125. 48 indexed citations
7.
Kalia, Vipin Chandra, et al.. (2016). Simple and Rapid Method for Detecting Biofilm Forming Bacteria. Indian Journal of Microbiology. 57(1). 109–111. 20 indexed citations
8.
Koul, Shikha & Vipin Chandra Kalia. (2016). Comparative Genomics Reveals Biomarkers to Identify Lactobacillus Species. Indian Journal of Microbiology. 56(3). 265–276. 9 indexed citations
9.
Kalia, Vipin Chandra, Ravi Kumar, Prasun Kumar, & Shikha Koul. (2015). A Genome-Wide Profiling Strategy as an Aid for Searching Unique Identification Biomarkers for Streptococcus. Indian Journal of Microbiology. 56(1). 46–58. 28 indexed citations
10.
Kalia, Vipin Chandra, Prasun Kumar, Ravi Kumar, Anjali Mishra, & Shikha Koul. (2015). Genome Wide Analysis for Rapid Identification of Vibrio Species. Indian Journal of Microbiology. 55(4). 375–383. 16 indexed citations
11.
Koul, Shikha, et al.. (2015). Potential Emergence of Multi-quorum Sensing Inhibitor Resistant (MQSIR) Bacteria. Indian Journal of Microbiology. 56(1). 1–18. 75 indexed citations
12.
Koul, Shikha & Prasun Kumar. (2015). A Unique Genome Wide Approach to Search Novel Markers for Rapid Identification of Bacterial Pathogens. Journal of Molecular and Genetic Medicine. 9(4). 14 indexed citations

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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