Atul Kulkarni

4.2k total citations
112 papers, 2.3k citations indexed

About

Atul Kulkarni is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Molecular Biology. According to data from OpenAlex, Atul Kulkarni has authored 112 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Electrical and Electronic Engineering, 39 papers in Biomedical Engineering and 30 papers in Molecular Biology. Recurrent topics in Atul Kulkarni's work include Advanced biosensing and bioanalysis techniques (17 papers), Analytical Chemistry and Sensors (14 papers) and Electrochemical sensors and biosensors (10 papers). Atul Kulkarni is often cited by papers focused on Advanced biosensing and bioanalysis techniques (17 papers), Analytical Chemistry and Sensors (14 papers) and Electrochemical sensors and biosensors (10 papers). Atul Kulkarni collaborates with scholars based in South Korea, India and United States. Atul Kulkarni's co-authors include Taesung Kim, Sung Ha Park, R. C. Aiyer, Chandrakant K. Tagad, Shridar Ganesan, Yeoheung Yoon, Sreekantha Reddy Dugasani, Hyoyoung Lee, Surajit Some and Sushma G. Sabharwal and has published in prestigious journals such as Advanced Materials, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

Atul Kulkarni

110 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Atul Kulkarni South Korea 24 838 732 680 644 204 112 2.3k
Nannan Liu China 30 962 1.1× 710 1.0× 1.0k 1.5× 1.1k 1.7× 203 1.0× 157 3.4k
Zixuan Chen China 29 652 0.8× 522 0.7× 1.1k 1.6× 687 1.1× 197 1.0× 115 2.3k
Jinyoung Park South Korea 24 537 0.6× 511 0.7× 492 0.7× 947 1.5× 301 1.5× 159 2.8k
Keying Zhang China 27 722 0.9× 517 0.7× 797 1.2× 570 0.9× 147 0.7× 147 2.1k
Xiao Wang China 27 920 1.1× 777 1.1× 692 1.0× 679 1.1× 195 1.0× 107 2.5k
Mingwei Wang China 29 433 0.5× 880 1.2× 562 0.8× 1.2k 1.9× 145 0.7× 115 3.1k
Jing Jiang China 28 753 0.9× 436 0.6× 610 0.9× 1.0k 1.6× 651 3.2× 110 2.2k
Ailin Li China 25 520 0.6× 624 0.9× 492 0.7× 453 0.7× 333 1.6× 82 2.4k
Yuhui Jin China 30 625 0.7× 2.1k 2.8× 1.1k 1.6× 1.1k 1.7× 190 0.9× 68 3.6k

Countries citing papers authored by Atul Kulkarni

Since Specialization
Citations

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

Fields of papers citing papers by Atul Kulkarni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Atul Kulkarni

This figure shows the co-authorship network connecting the top 25 collaborators of Atul Kulkarni. A scholar is included among the top collaborators of Atul Kulkarni 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 Atul Kulkarni. Atul Kulkarni 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.
Tiwari, Amit Kumar, et al.. (2025). Transforming brain cancer biomarker research with patinformatics and SWOT analysis. Drug Discovery Today. 30(3). 104314–104314.
2.
Shirolkar, Mandar M., et al.. (2025). Experimental and computational evaluation of chitosan-Mg 2+ augmentation with antibiotics against multi-drug resistant clinical isolates. SHILAP Revista de lepidopterología. 11(1). 123–136.
3.
Saini, Neha, Deepak Yadav, Mandar M. Shirolkar, et al.. (2024). Chitosan lecithin nanocomposite based electrochemical biosensor for glycine detection in biological matrices. Colloids and Surfaces B Biointerfaces. 238. 113901–113901. 4 indexed citations
4.
Jadhav, Yogesh, et al.. (2024). Harnessing photocurrent enhancement in silver-bacterial cellulose nanocomposite for ultra-sensitive Hg 2+ electrochemical detection. SHILAP Revista de lepidopterología. 10(1). 214–227. 2 indexed citations
5.
Jadhav, Yogesh, et al.. (2023). Novel Spinel Nanomaterials for Photocatalytic Hydrogen Evolution Reactions: An Overview. Energies. 16(12). 4707–4707. 4 indexed citations
6.
Shirolkar, Mandar M., et al.. (2023). A Xanthan‐Gum‐Stabilized PEG‐Conjugated Nanocurcumin Complex: Telescoping Synthesis for Enhanced Permeation Potential. ChemistryOpen. 12(1). e202200200–e202200200. 1 indexed citations
7.
Kulkarni, Atul, et al.. (2023). Industry 5.0 and the future of sustainable manufacturing: A systematic literature review. Business Strategy & Development. 6(4). 704–723. 52 indexed citations
8.
Kulkarni, Atul, et al.. (2023). The multifaceted nature of plant acid phosphatases: purification, biochemical features, and applications. Journal of Enzyme Inhibition and Medicinal Chemistry. 38(1). 2282379–2282379. 8 indexed citations
9.
Patil, Yogesh, et al.. (2023). Bacterial Cellulose: Natural Biomaterial for Medical and Environmental Applications. Journal of Natural Fibers. 20(2). 10 indexed citations
10.
Tagad, Chandrakant K., Jeong‐Bong Lee, Atul Kulkarni, et al.. (2017). Green Synthesis of Silver Nanoparticles Using Panax Ginseng Root Extract for the Detection of Hg2+. Sensors and Materials. 205–205. 8 indexed citations
11.
Kim, Hyeong‐U, Atul Kulkarni, Chisung Ahn, et al.. (2017). Highly uniform wafer-scale synthesis ofα-MoO3by plasma enhanced chemical vapor deposition. Nanotechnology. 28(17). 175601–175601. 29 indexed citations
12.
Kulkarni, Atul, et al.. (2017). Highly efficient in-line wet cyclone air sampler for airborne virus detection. Journal of Mechanical Science and Technology. 31(9). 4363–4369. 22 indexed citations
13.
Oza, Jay, et al.. (2016). A Novel Role of Chromodomain Protein CBX8 in DNA Damage Response. Journal of Biological Chemistry. 291(44). 22881–22893. 12 indexed citations
14.
Kim, Hyeong‐U, Atul Kulkarni, Chisung Ahn, et al.. (2016). A sensitive electrochemical sensor for in vitro detection of parathyroid hormone based on a MoS2-graphene composite. Scientific Reports. 6(1). 34587–34587. 46 indexed citations
15.
Kulkarni, Atul, Byeong‐Hoon Kim, Sreekantha Reddy Dugasani, et al.. (2013). A novel nanometric DNA thin film as a sensor for alpha radiation. Scientific Reports. 3(1). 2062–2062. 33 indexed citations
16.
Some, Surajit, Yang Xu, Young‐Min Kim, et al.. (2013). Highly Sensitive and Selective Gas Sensor Using Hydrophilic and Hydrophobic Graphenes. Scientific Reports. 3(1). 1868–1868. 180 indexed citations
17.
Kulkarni, Atul, Yang Xu, Chisung Ahn, et al.. (2012). The label free DNA sensor using a silicon nanowire array. Journal of Biotechnology. 160(3-4). 91–96. 22 indexed citations
18.
Kulkarni, Atul, Hyeongkeun Kim, Rashid Amin, et al.. (2012). A Novel Method for Large Area Graphene Transfer on the Polymer Optical Fiber. Journal of Nanoscience and Nanotechnology. 12(5). 3918–3921. 1 indexed citations
19.
Bilal, Erhan, Gabriela Alexe, Ming Yao, et al.. (2010). Identification of the YES1 Kinase as a Therapeutic Target in Basal-Like Breast Cancers. Genes & Cancer. 1(10). 1063–1073. 24 indexed citations
20.
Wan, Cheng, Atul Kulkarni, & Yuh‐Hwa Wang. (2010). ATR preferentially interacts with common fragile site FRA3B and the binding requires its kinase activity in response to aphidicolin treatment. Mutation research. Fundamental and molecular mechanisms of mutagenesis. 686(1-2). 39–46. 12 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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