Sukriti Singh

54 total papers · 1.4k total citations
39 papers, 1.2k citations indexed

About

Sukriti Singh is a scholar working on Materials Chemistry, Organic Chemistry and Biomedical Engineering. According to data from OpenAlex, Sukriti Singh has authored 39 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Materials Chemistry, 20 papers in Organic Chemistry and 11 papers in Biomedical Engineering. Recurrent topics in Sukriti Singh's work include Polyoxometalates: Synthesis and Applications (14 papers), Chemical Synthesis and Reactions (11 papers) and Machine Learning in Materials Science (7 papers). Sukriti Singh is often cited by papers focused on Polyoxometalates: Synthesis and Applications (14 papers), Chemical Synthesis and Reactions (11 papers) and Machine Learning in Materials Science (7 papers). Sukriti Singh collaborates with scholars based in India, United Kingdom and United Arab Emirates. Sukriti Singh's co-authors include Anjali Patel, Raghavan B. Sunoj, Nilesh Narkhede, Bangaru Bhaskararao, Soyeb Pathan, Pritha Verma, Sayan Banerjee, Monika Pareek, P. Balamurugan and Kapileswar Seth and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nature Communications.

In The Last Decade

Sukriti Singh

37 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
Sukriti Singh 605 555 296 282 199 39 1.2k
Weizheng Fan 602 1.0× 249 0.4× 228 0.8× 238 0.8× 86 0.4× 49 1.1k
Yoshihiro Hayashi 495 0.8× 281 0.5× 155 0.5× 163 0.6× 81 0.4× 63 1.1k
Hui Zhou 771 1.3× 345 0.6× 428 1.4× 130 0.5× 143 0.7× 72 1.4k
Meghshyam K. Patil 594 1.0× 504 0.9× 182 0.6× 146 0.5× 165 0.8× 38 1.3k
Kelly A. da Silva Rocha 543 0.9× 671 1.2× 210 0.7× 217 0.8× 122 0.6× 32 1.0k
Khanh B. Vu 215 0.4× 669 1.2× 127 0.4× 359 1.3× 140 0.7× 47 1.3k
Li Yang 647 1.1× 229 0.4× 171 0.6× 139 0.5× 97 0.5× 55 1.3k
Min Sheng 429 0.7× 394 0.7× 178 0.6× 239 0.8× 209 1.1× 46 1.1k
Kakasaheb Y. Nandiwale 281 0.5× 417 0.8× 180 0.6× 932 3.3× 308 1.5× 36 1.2k
Fatemeh Rajabi 1.0k 1.7× 411 0.7× 202 0.7× 94 0.3× 56 0.3× 71 1.4k

Countries citing papers authored by Sukriti Singh

Since Specialization
Citations

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

Fields of papers citing papers by Sukriti Singh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sukriti Singh

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