Karan Syal

613 total citations
9 papers, 478 citations indexed

About

Karan Syal is a scholar working on Clinical Biochemistry, Media Technology and Infectious Diseases. According to data from OpenAlex, Karan Syal has authored 9 papers receiving a total of 478 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Clinical Biochemistry, 4 papers in Media Technology and 2 papers in Infectious Diseases. Recurrent topics in Karan Syal's work include Bacterial Identification and Susceptibility Testing (8 papers), Image Processing Techniques and Applications (4 papers) and Species Distribution and Climate Change (2 papers). Karan Syal is often cited by papers focused on Bacterial Identification and Susceptibility Testing (8 papers), Image Processing Techniques and Applications (4 papers) and Species Distribution and Climate Change (2 papers). Karan Syal collaborates with scholars based in United States and China. Karan Syal's co-authors include Shaopeng Wang, Nongjian Tao, Shelley E. Haydel, Hui Yu, Rafael Iriya, Yunze Yang, Wenwen Jing, Manni Mo, Thomas E. Grys and Hong‐Yuan Chen and has published in prestigious journals such as ACS Nano, Analytical Chemistry and Biosensors and Bioelectronics.

In The Last Decade

Karan Syal

9 papers receiving 466 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Karan Syal United States	8	241	179	148	71	70	9	478
Manni Mo United States	9	187 0.8×	169 0.9×	120 0.8×	65 0.9×	54 0.8×	14	387
Özden Baltekin Sweden	6	196 0.8×	176 1.0×	397 2.7×	74 1.0×	112 1.6×	6	712
Travis S. Schlappi United States	7	300 1.2×	153 0.9×	152 1.0×	63 0.9×	25 0.4×	8	444
Livan Alonso‐Sarduy Switzerland	8	173 0.7×	74 0.4×	190 1.3×	33 0.5×	20 0.3×	9	493
Armelle Novelli France	10	106 0.4×	89 0.5×	182 1.2×	19 0.3×	112 1.6×	13	401
Chi-Sing Ho United States	8	431 1.8×	125 0.7×	189 1.3×	14 0.2×	454 6.5×	12	935
Johanna Kirchhoff Germany	6	171 0.7×	129 0.7×	87 0.6×	20 0.3×	256 3.7×	8	390
Lena Blackmon United States	3	260 1.1×	114 0.6×	129 0.9×	11 0.2×	387 5.5×	4	608
Nydia Morales-Soto United States	14	147 0.6×	66 0.4×	303 2.0×	47 0.7×	53 0.8×	23	544
Pu‐Ting Dong United States	15	165 0.7×	50 0.3×	212 1.4×	25 0.4×	135 1.9×	29	583

Countries citing papers authored by Karan Syal

Since Specialization

Citations

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

Fields of papers citing papers by Karan Syal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Karan Syal

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

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Iriya, Rafael, Wenwen Jing, Karan Syal, et al.. (2020). Rapid Antibiotic Susceptibility Testing Based on Bacterial Motion Patterns With Long Short- Term Memory Neural Networks. IEEE Sensors Journal. 20(9). 4940–4950. 17 indexed citations

2.

Yu, Hui, Wenwen Jing, Rafael Iriya, et al.. (2018). Phenotypic Antimicrobial Susceptibility Testing with Deep Learning Video Microscopy. Analytical Chemistry. 90(10). 6314–6322. 65 indexed citations

3.

Syal, Karan, Manni Mo, Hui Yu, et al.. (2017). Current and emerging techniques for antibiotic susceptibility tests. Theranostics. 7(7). 1795–1805. 155 indexed citations

4.

Iriya, Rafael, Karan Syal, Wenwen Jing, et al.. (2017). Real-time detection of antibiotic activity by measuring nanometer-scale bacterial deformation. Journal of Biomedical Optics. 22(12). 1–1. 7 indexed citations

5.

Syal, Karan, Simon P. Shen, Yunze Yang, et al.. (2017). Rapid Antibiotic Susceptibility Testing of Uropathogenic E. coli by Tracking Submicron Scale Motion of Single Bacterial Cells. ACS Sensors. 2(8). 1231–1239. 35 indexed citations

6.

Shen, Simon P., Karan Syal, Nongjian Tao, & Shaopeng Wang. (2015). Note: An automated image analysis method for high-throughput classification of surface-bound bacterial cell motions. Review of Scientific Instruments. 86(12). 126104–126104. 4 indexed citations

7.

Syal, Karan, Rafael Iriya, Yunze Yang, et al.. (2015). Antimicrobial Susceptibility Test with Plasmonic Imaging and Tracking of Single Bacterial Motions on Nanometer Scale. ACS Nano. 10(1). 845–852. 113 indexed citations

8.

Syal, Karan, Wei Wang, Xiaonan Shan, et al.. (2014). Plasmonic imaging of protein interactions with single bacterial cells. Biosensors and Bioelectronics. 63. 131–137. 47 indexed citations

9.

Qiu, Ji, D. Mitchell Magee, Peter Kahn, et al.. (2012). High Density Diffusion-Free Nanowell Arrays. Journal of Proteome Research. 11(8). 4382–4391. 35 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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