Sunitha Takalkar

686 total citations
10 papers, 514 citations indexed

About

Sunitha Takalkar is a scholar working on Molecular Biology, Biomedical Engineering and Cancer Research. According to data from OpenAlex, Sunitha Takalkar has authored 10 papers receiving a total of 514 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 7 papers in Biomedical Engineering and 2 papers in Cancer Research. Recurrent topics in Sunitha Takalkar's work include Advanced biosensing and bioanalysis techniques (8 papers), Biosensors and Analytical Detection (6 papers) and Microfluidic and Bio-sensing Technologies (3 papers). Sunitha Takalkar is often cited by papers focused on Advanced biosensing and bioanalysis techniques (8 papers), Biosensors and Analytical Detection (6 papers) and Microfluidic and Bio-sensing Technologies (3 papers). Sunitha Takalkar collaborates with scholars based in United States, China and Ghana. Sunitha Takalkar's co-authors include Guodong Liu, Kwaku Baryeh, Hui Xu, Wanwei Qiu, Julia Xiaojun Zhao, Jiao Chen, Bin Liu, Zebin Guo, Yafeng Zheng and Meenu Baloda and has published in prestigious journals such as Blood, Analytical Chemistry and The Journal of Physical Chemistry C.

In The Last Decade

Sunitha Takalkar

10 papers receiving 506 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sunitha Takalkar United States 9 397 369 92 67 56 10 514
Kwaku Baryeh United States 11 456 1.1× 415 1.1× 125 1.4× 68 1.0× 48 0.9× 11 625
Jiafang Piao China 16 576 1.5× 393 1.1× 129 1.4× 78 1.2× 43 0.8× 25 708
Lifeng Zeng China 14 332 0.8× 259 0.7× 130 1.4× 42 0.6× 55 1.0× 17 495
Weipan Peng China 17 641 1.6× 474 1.3× 183 2.0× 91 1.4× 64 1.1× 35 812
Dong‐Min Kim South Korea 14 297 0.7× 229 0.6× 72 0.8× 39 0.6× 32 0.6× 25 456
Wen Yin China 15 373 0.9× 208 0.6× 180 2.0× 60 0.9× 21 0.4× 29 651
Shih‐Chung Wei Taiwan 13 422 1.1× 415 1.1× 87 0.9× 61 0.9× 68 1.2× 20 615
Jun Hui Soh Singapore 9 421 1.1× 289 0.8× 108 1.2× 78 1.2× 76 1.4× 10 552
Yao-Chen Chuang Taiwan 12 343 0.9× 456 1.2× 144 1.6× 53 0.8× 64 1.1× 21 667
Kyoungin Min South Korea 5 574 1.4× 388 1.1× 80 0.9× 35 0.5× 49 0.9× 8 644

Countries citing papers authored by Sunitha Takalkar

Since Specialization
Citations

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

Fields of papers citing papers by Sunitha Takalkar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sunitha Takalkar

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

All Works

10 of 10 papers shown
1.
Lei, Shaohua, Sujuan Jia, Sunitha Takalkar, et al.. (2023). Cancer Genomic Profiling and Minimal Residual Disease Monitoring By Cell-Free DNA Sequencing in Pediatric Leukemia. Blood. 142(Supplement 1). 1604–1604. 1 indexed citations
2.
Qiu, Wanwei, Kwaku Baryeh, Sunitha Takalkar, Wei Chen, & Guodong Liu. (2019). Carbon nanotube-based lateral flow immunoassay for ultrasensitive detection of proteins: application to the determination of IgG. Microchimica Acta. 186(7). 436–436. 30 indexed citations
3.
Huang, Yan, Yongqiang Wen, Kwaku Baryeh, et al.. (2017). Magnetized carbon nanotubes for visual detection of proteins directly in whole blood. Analytica Chimica Acta. 993. 79–86. 27 indexed citations
4.
Baryeh, Kwaku, et al.. (2017). Development of quantitative immunochromatographic assay for rapid and sensitive detection of carbohydrate antigen 19-9 (CA 19-9) in human plasma. Journal of Pharmaceutical and Biomedical Analysis. 146. 285–291. 33 indexed citations
5.
Huang, Yan, Yongqiang Wen, Kwaku Baryeh, et al.. (2017). Lateral flow assay for carbohydrate antigen 19–9 in whole blood by using magnetized carbon nanotubes. Microchimica Acta. 184(11). 4287–4294. 36 indexed citations
6.
Takalkar, Sunitha, Kwaku Baryeh, & Guodong Liu. (2017). Fluorescent carbon nanoparticle-based lateral flow biosensor for ultrasensitive detection of DNA. Biosensors and Bioelectronics. 98. 147–154. 80 indexed citations
7.
Takalkar, Sunitha, Hui Xu, Jiao Chen, et al.. (2016). Gold Nanoparticle Coated Silica Nanorods for Sensitive Visual Detection of microRNA on a Lateral Flow Strip Biosensor. Analytical Sciences. 32(6). 617–622. 37 indexed citations
8.
Pan, Yanxiong, Sunitha Takalkar, Jasmin Farmakes, et al.. (2016). Probing the Aggregation Mechanism of Gold Nanoparticles Triggered by a Globular Protein. The Journal of Physical Chemistry C. 121(2). 1377–1386. 52 indexed citations
9.
Qiu, Wanwei, Hui Xu, Sunitha Takalkar, et al.. (2014). Carbon nanotube-based lateral flow biosensor for sensitive and rapid detection of DNA sequence. Biosensors and Bioelectronics. 64. 367–372. 108 indexed citations
10.
Xu, Hui, Jiao Chen, Julia Xiaojun Zhao, et al.. (2014). Gold-Nanoparticle-Decorated Silica Nanorods for Sensitive Visual Detection of Proteins. Analytical Chemistry. 86(15). 7351–7359. 110 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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