Rinky Sha

1.8k total citations
35 papers, 1.4k citations indexed

About

Rinky Sha is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Electrochemistry. According to data from OpenAlex, Rinky Sha has authored 35 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Electrical and Electronic Engineering, 11 papers in Materials Chemistry and 9 papers in Electrochemistry. Recurrent topics in Rinky Sha's work include Electrochemical sensors and biosensors (16 papers), Electrochemical Analysis and Applications (9 papers) and Analytical Chemistry and Sensors (8 papers). Rinky Sha is often cited by papers focused on Electrochemical sensors and biosensors (16 papers), Electrochemical Analysis and Applications (9 papers) and Analytical Chemistry and Sensors (8 papers). Rinky Sha collaborates with scholars based in India, Taiwan and Japan. Rinky Sha's co-authors include Sushmee Badhulika, Nandimalla Vishnu, Kikuo Komori, Tarun Kanti Bhattacharyya, Palash Chandra Maity, Arindam Basak, Sampath Kumar Puttapati, Steve Jones, Umamaheswari Rajaji and Arthi Gopalakrishnan and has published in prestigious journals such as Journal of The Electrochemical Society, Electrochimica Acta and Sensors and Actuators B Chemical.

In The Last Decade

Rinky Sha

34 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rinky Sha India 23 1.0k 526 347 342 314 35 1.4k
Hanqiang Zhang China 21 950 0.9× 843 1.6× 220 0.6× 471 1.4× 359 1.1× 48 1.6k
Bose Dinesh India 22 1.1k 1.1× 333 0.6× 183 0.5× 617 1.8× 367 1.2× 33 1.4k
Perumal Rameshkumar India 22 968 1.0× 591 1.1× 277 0.8× 569 1.7× 303 1.0× 44 1.5k
Shaktivel Manavalan Taiwan 19 786 0.8× 267 0.5× 170 0.5× 439 1.3× 216 0.7× 26 1.1k
Balamurugan Devadas Taiwan 19 810 0.8× 250 0.5× 182 0.5× 474 1.4× 322 1.0× 34 1.1k
Megha A. Deshmukh India 19 814 0.8× 298 0.6× 288 0.8× 578 1.7× 495 1.6× 40 1.4k
James Joseph India 22 753 0.7× 690 1.3× 171 0.5× 376 1.1× 293 0.9× 53 1.5k
Liande Zhu China 28 1.4k 1.4× 394 0.7× 292 0.8× 850 2.5× 441 1.4× 54 1.9k
Paramasivam Balasubramanian Taiwan 27 1.2k 1.2× 746 1.4× 237 0.7× 623 1.8× 322 1.0× 48 1.8k
Gajanan A. Bodkhe India 23 838 0.8× 281 0.5× 311 0.9× 434 1.3× 412 1.3× 65 1.3k

Countries citing papers authored by Rinky Sha

Since Specialization
Citations

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

Fields of papers citing papers by Rinky Sha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rinky Sha

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

All Works

20 of 20 papers shown
1.
Mani, Naresh Kumar, et al.. (2025). Review: 2D MXenes based electrochemical sensors and supercapacitors for biomedical and energy storage applications. Materials Chemistry and Physics. 343. 130974–130974. 3 indexed citations
2.
Maity, Palash Chandra, et al.. (2025). 1D rod-like mixed Ni–Co–Mo metallic oxide anchored on Ni foam as a novel positrode for high energy density asymmetric supercapacitors. Electrochimica Acta. 536. 146797–146797. 1 indexed citations
3.
Sha, Rinky, et al.. (2025). Recent advancements in Point-of-Care Detection of Contaminants and Biomarkers in Human Breast Milk: A comprehensive review. Sensors and Actuators Reports. 9. 100280–100280. 2 indexed citations
4.
Nanda, Om Priya, Avik Sett, Palash Chandra Maity, et al.. (2024). 2D V2C MXene Based Flexible Gas Sensor for Highly Selective and Sensitive Toluene Detection at Room Temperature. ACS Applied Electronic Materials. 6(5). 3717–3725. 35 indexed citations
5.
Sett, Avik, et al.. (2023). A highly selective room-temperature formaldehyde gas sensor based on vertically aligned 1D NiCo2O4 nanoneedles. Materials Letters. 350. 134927–134927. 25 indexed citations
6.
Maity, Palash Chandra, et al.. (2023). A room-temperature gas sensor based on 2D Ni–Co–Zn ternary oxide nanoflakes for selective and sensitive ammonia detection. Dalton Transactions. 52(44). 16500–16512. 19 indexed citations
7.
Sha, Rinky, Palash Chandra Maity, Umamaheswari Rajaji, Ting‐Yu Liu, & Tarun Kanti Bhattacharyya. (2022). Review—MoSe 2 Nanostructures and Related Electrodes for Advanced Supercapacitor Developments. Journal of The Electrochemical Society. 169(1). 13503–13503. 44 indexed citations
8.
Sha, Rinky, Arindam Basak, Palash Chandra Maity, & Sushmee Badhulika. (2022). ZnO nano-structured based devices for chemical and optical sensing applications. Sensors and Actuators Reports. 4. 100098–100098. 88 indexed citations
9.
Sha, Rinky, et al.. (2020). Ultra-low cost, smart sensor based on pyrite FeS 2 on cellulose paper for the determination of vital plant hormone methyl jasmonate. Engineering Research Express. 2(2). 25020–25020. 16 indexed citations
10.
Sha, Rinky & Sushmee Badhulika. (2020). Recent advancements in fabrication of nanomaterial based biosensors for diagnosis of ovarian cancer: a comprehensive review. Microchimica Acta. 187(3). 181–181. 43 indexed citations
11.
Sha, Rinky, et al.. (2019). A ruthenium(IV) disulfide based non-enzymatic sensor for selective and sensitive amperometric determination of dopamine. Microchimica Acta. 186(7). 480–480. 39 indexed citations
12.
13.
Sha, Rinky, Nandimalla Vishnu, & Sushmee Badhulika. (2018). Bimetallic Pt-Pd nanostructures supported on MoS2 as an ultra-high performance electrocatalyst for methanol oxidation and nonenzymatic determination of hydrogen peroxide. Microchimica Acta. 185(8). 399–399. 48 indexed citations
14.
Sha, Rinky, Nandimalla Vishnu, & Sushmee Badhulika. (2018). MoS2 based ultra-low-cost, flexible, non-enzymatic and non-invasive electrochemical sensor for highly selective detection of Uric acid in human urine samples. Sensors and Actuators B Chemical. 279. 53–60. 206 indexed citations
15.
Sha, Rinky & Sushmee Badhulika. (2018). Facile green synthesis of reduced graphene oxide/tin oxide composite for highly selective and ultra-sensitive detection of ascorbic acid. Journal of Electroanalytical Chemistry. 816. 30–37. 97 indexed citations
16.
18.
Sha, Rinky & Sushmee Badhulika. (2017). Binder free platinum nanoparticles decorated graphene-polyaniline composite film for high performance supercapacitor application. Electrochimica Acta. 251. 505–512. 48 indexed citations
19.
Sha, Rinky, Kikuo Komori, & Sushmee Badhulika. (2017). Graphene–Polyaniline composite based ultra-sensitive electrochemical sensor for non-enzymatic detection of urea. Electrochimica Acta. 233. 44–51. 138 indexed citations
20.
Sha, Rinky, Rowdra Ghatak, & Rajat Mahapatra. (2013). Impact of Beam Thickness and Air Gap on the Performance of Cantilever MEMS Switch. 10 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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