Pankaj Ramnani

19 total papers · 1.2k total citations
16 papers, 835 citations indexed

About

Pankaj Ramnani is a scholar working on Molecular Biology, Electrical and Electronic Engineering and Materials Chemistry. According to data from OpenAlex, Pankaj Ramnani has authored 16 papers receiving a total of 835 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 8 papers in Electrical and Electronic Engineering and 6 papers in Materials Chemistry. Recurrent topics in Pankaj Ramnani's work include Advanced biosensing and bioanalysis techniques (9 papers), Electrochemical sensors and biosensors (6 papers) and Graphene research and applications (4 papers). Pankaj Ramnani is often cited by papers focused on Advanced biosensing and bioanalysis techniques (9 papers), Electrochemical sensors and biosensors (6 papers) and Graphene research and applications (4 papers). Pankaj Ramnani collaborates with scholars based in United States, China and Egypt. Pankaj Ramnani's co-authors include Ashok Mulchandani, Nuvia Maria Saucedo, Alexander A. Balandin, Roger K. Lake, Claudia C. Villarreal, Hoda Malekpour, Ganesh Balasubramanian, Srilok Srinivasan, Denis L. Nika and Tung Pham and has published in prestigious journals such as Environmental Science & Technology, Analytical Chemistry and Langmuir.

In The Last Decade

Pankaj Ramnani

16 papers receiving 817 citations

Author Peers

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

Author Last Decade Papers Cites
Pankaj Ramnani 399 316 255 251 130 16 835
Flavio Pino 319 0.8× 402 1.3× 236 0.9× 239 1.0× 150 1.2× 16 874
Rahela Gašparac 410 1.0× 300 0.9× 295 1.2× 409 1.6× 217 1.7× 14 1.0k
Hemant Sankar Dutta 288 0.7× 505 1.6× 211 0.8× 266 1.1× 61 0.5× 26 836
Md Nurul Karim 486 1.2× 368 1.2× 284 1.1× 238 0.9× 57 0.4× 14 783
Anurag Kumar 400 1.0× 345 1.1× 87 0.3× 212 0.8× 64 0.5× 30 712
David K. Taggart 386 1.0× 609 1.9× 102 0.4× 418 1.7× 66 0.5× 18 967
Niharika Gupta 294 0.7× 419 1.3× 218 0.9× 417 1.7× 41 0.3× 21 897
Jyongsik Jang 350 0.9× 197 0.6× 152 0.6× 224 0.9× 34 0.3× 13 713
Jung-Suk Yoo 142 0.4× 389 1.2× 163 0.6× 155 0.6× 259 2.0× 10 756
Pratik Joshi 330 0.8× 168 0.5× 133 0.5× 188 0.7× 46 0.4× 40 744

Countries citing papers authored by Pankaj Ramnani

Since Specialization
Citations

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

Fields of papers citing papers by Pankaj Ramnani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pankaj Ramnani

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