Kanika Singh

41 total papers · 419 total citations
22 papers, 281 citations indexed

About

Kanika Singh is a scholar working on Molecular Biology, Genetics and Orthodontics. According to data from OpenAlex, Kanika Singh has authored 22 papers receiving a total of 281 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 7 papers in Genetics and 4 papers in Orthodontics. Recurrent topics in Kanika Singh's work include Orthodontics and Dentofacial Orthopedics (4 papers), Neuroscience and Neural Engineering (2 papers) and Folate and B Vitamins Research (2 papers). Kanika Singh is often cited by papers focused on Orthodontics and Dentofacial Orthopedics (4 papers), Neuroscience and Neural Engineering (2 papers) and Folate and B Vitamins Research (2 papers). Kanika Singh collaborates with scholars based in India, South Korea and United States. Kanika Singh's co-authors include Ishita Gupta, Sameena Khan, M SIDDIQUI, Surendra Singh, Kyung Chun Kim, Ishwar C. Verma, Suruchi Aggarwal, Jung Ik Son, Md. Aminur Rahman and Amit Kumar Yadav and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Environment International.

In The Last Decade

Kanika Singh

18 papers receiving 270 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Kanika Singh 128 48 47 29 26 22 281
Bronwyn Bryant 96 0.8× 80 1.7× 20 0.4× 13 0.4× 12 0.5× 20 322
Alejandro López‐Saavedra 110 0.9× 61 1.3× 13 0.3× 53 1.8× 27 1.0× 31 309
Yirang Na 129 1.0× 45 0.9× 19 0.4× 21 0.7× 14 0.5× 16 315
Fenna C.M. Sillé 91 0.7× 56 1.2× 9 0.2× 25 0.9× 19 0.7× 28 292
Kuan-Yuan Chen 100 0.8× 76 1.6× 12 0.3× 25 0.9× 14 0.5× 18 331
Marlene Schwarzfischer 125 1.0× 13 0.3× 21 0.4× 23 0.8× 66 2.5× 26 278
Stephanie Bauer 81 0.6× 42 0.9× 12 0.3× 28 1.0× 12 0.5× 16 308
Maria Rita Fabbrizi 124 1.0× 33 0.7× 9 0.2× 24 0.8× 22 0.8× 19 316
S. Tony 98 0.8× 39 0.8× 20 0.4× 30 1.0× 8 0.3× 26 298
Renata Mendonça Moraes 74 0.6× 18 0.4× 11 0.2× 12 0.4× 9 0.3× 26 279

Countries citing papers authored by Kanika Singh

Since Specialization
Citations

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

Fields of papers citing papers by Kanika Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kanika Singh

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

All Works

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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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