Puja Saxena

32 total papers · 613 total citations
25 papers, 533 citations indexed

About

Puja Saxena is a scholar working on Bioengineering, Electrical and Electronic Engineering and Electrochemistry. According to data from OpenAlex, Puja Saxena has authored 25 papers receiving a total of 533 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Bioengineering, 15 papers in Electrical and Electronic Engineering and 11 papers in Electrochemistry. Recurrent topics in Puja Saxena's work include Analytical Chemistry and Sensors (16 papers), Electrochemical sensors and biosensors (15 papers) and Electrochemical Analysis and Applications (11 papers). Puja Saxena is often cited by papers focused on Analytical Chemistry and Sensors (16 papers), Electrochemical sensors and biosensors (15 papers) and Electrochemical Analysis and Applications (11 papers). Puja Saxena collaborates with scholars based in India, Puerto Rico and United Kingdom. Puja Saxena's co-authors include Ashok Kumar Singh, Sameena Mehtab, Ajay Singh, Amit Panwar, Sanjay Gupta, Lalit Kumar Singh Chauhan, R. C. Murthy, Subhash Chandra, Ajay K. Jain and Bhuvanesh Gupta and has published in prestigious journals such as The Science of The Total Environment, Analytica Chimica Acta and Sensors.

In The Last Decade

Puja Saxena

25 papers receiving 494 citations

Author Peers

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

Author Last Decade Papers Cites
Puja Saxena 300 242 242 52 50 25 533
Jianyan Wang 202 0.7× 120 0.5× 278 1.1× 13 0.3× 7 0.1× 30 466
Guiqin Ye 36 0.1× 122 0.5× 99 0.4× 57 1.1× 35 0.7× 16 596
Tsuneo SHIRAI 288 1.0× 194 0.8× 134 0.6× 105 2.0× 2 0.0× 46 485
Gilbert E. Pacey 108 0.4× 209 0.9× 104 0.4× 89 1.7× 4 0.1× 32 576
Noriko Ohno 89 0.3× 55 0.2× 77 0.3× 138 2.7× 12 0.2× 46 528
Tao Liu 40 0.1× 124 0.5× 81 0.3× 17 0.3× 9 0.2× 14 497
Haini Yu 45 0.1× 42 0.2× 118 0.5× 62 1.2× 20 0.4× 19 606
Stefan Effkemann 100 0.3× 228 0.9× 172 0.7× 46 0.9× 12 0.2× 15 530
Colin D. Chriswell 47 0.2× 64 0.3× 62 0.3× 130 2.5× 44 0.9× 31 559
Ryuichi Naganawa 183 0.6× 154 0.6× 85 0.4× 165 3.2× 3 0.1× 24 455

Countries citing papers authored by Puja Saxena

Since Specialization
Citations

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

Fields of papers citing papers by Puja Saxena

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Puja Saxena

This figure shows the co-authorship network connecting the top 25 collaborators of Puja Saxena. A scholar is included among the top collaborators of Puja Saxena 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 Puja Saxena. Puja Saxena 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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