Ratnasekhar Ch

1.3k total citations
41 papers, 995 citations indexed

About

Ratnasekhar Ch is a scholar working on Molecular Biology, Analytical Chemistry and Plant Science. According to data from OpenAlex, Ratnasekhar Ch has authored 41 papers receiving a total of 995 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 13 papers in Analytical Chemistry and 11 papers in Plant Science. Recurrent topics in Ratnasekhar Ch's work include Analytical chemistry methods development (9 papers), Metabolomics and Mass Spectrometry Studies (7 papers) and Analytical Chemistry and Chromatography (7 papers). Ratnasekhar Ch is often cited by papers focused on Analytical chemistry methods development (9 papers), Metabolomics and Mass Spectrometry Studies (7 papers) and Analytical Chemistry and Chromatography (7 papers). Ratnasekhar Ch collaborates with scholars based in India, United Kingdom and United States. Ratnasekhar Ch's co-authors include Mohana Krishna Reddy Mudiam, Rajeev Jain, Christopher T. Elliott, Prem Narain Saxena, Aruna Satish, R. C. Murthy, Olivier Chevallier, Haider Ali Khan, Di Wu and Mary T. McBride and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Ratnasekhar Ch

36 papers receiving 986 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ratnasekhar Ch India 21 328 287 196 189 158 41 995
Ina Willenberg Germany 20 340 1.0× 90 0.3× 65 0.3× 96 0.5× 78 0.5× 48 1.2k
Aqel W. Abu‐Qare United States 22 312 1.0× 150 0.5× 471 2.4× 96 0.5× 64 0.4× 37 1.4k
Masami Makita Japan 20 500 1.5× 161 0.6× 142 0.7× 377 2.0× 184 1.2× 91 1.4k
Yi Song China 16 202 0.6× 179 0.6× 201 1.0× 91 0.5× 70 0.4× 36 703
Shun Wada Japan 23 491 1.5× 119 0.4× 201 1.0× 159 0.8× 152 1.0× 107 2.0k
W. Pfannhauser Austria 26 373 1.1× 192 0.7× 325 1.7× 141 0.7× 252 1.6× 123 1.9k
Chunlan Tang China 19 395 1.2× 86 0.3× 93 0.5× 56 0.3× 40 0.3× 47 924
A. Saari Csallany United States 31 593 1.8× 129 0.4× 269 1.4× 173 0.9× 270 1.7× 87 2.8k
Hikoto Ohta Japan 18 193 0.6× 90 0.3× 239 1.2× 145 0.8× 42 0.3× 46 935
Dario Giardinà Italy 18 417 1.3× 174 0.6× 47 0.2× 145 0.8× 55 0.3× 60 966

Countries citing papers authored by Ratnasekhar Ch

Since Specialization
Citations

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

Fields of papers citing papers by Ratnasekhar Ch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ratnasekhar Ch

This figure shows the co-authorship network connecting the top 25 collaborators of Ratnasekhar Ch. A scholar is included among the top collaborators of Ratnasekhar Ch 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 Ratnasekhar Ch. Ratnasekhar Ch 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.
Kumar, Anant, Nandini Pathak, Ratnasekhar Ch, et al.. (2025). Steroidal glycoside-rich extract of fenugreek seeds mitigates obesity-induced insulin resistance via attenuation of low-grade inflammation. Food Research International. 220. 117127–117127.
2.
Ch, Ratnasekhar, Samreen Gul Khan, Pradipto Mukhopadhyay, et al.. (2025). Machine learning-guided Orbitrap-HRAMS-based metabolomic fingerprinting for geographical origin, variety and tissue specific authentication, and adulteration detection of turmeric and ashwagandha. Food Chemistry. 482. 144078–144078. 1 indexed citations
3.
4.
5.
Birse, Nicholas, et al.. (2025). Gaseous exchange-dependent in vitro culture extensively alters plant growth and metabolic landscape revealed by comprehensive metabolomics. Plant Physiology and Biochemistry. 222. 109765–109765.
6.
Trivedi, Prabodh Kumar, et al.. (2023). Multi-Omics Reveal Interplay between Circadian Dysfunction and Type2 Diabetes. Biology. 12(2). 301–301. 7 indexed citations
7.
Jain, Rajeev, et al.. (2023). Fabric phase sorptive extraction-gas chromatography-mass spectrometry for the determination of favipiravir in biological and forensic samples. SHILAP Revista de lepidopterología. 6. 100058–100058. 15 indexed citations
8.
Khan, Samreen Gul, Anjali Singh, S. N. Singh, et al.. (2023). Rapid metabolic fingerprinting with the aid of chemometric models to identify authenticity of natural medicines: Turmeric, Ocimum, and Withania somnifera study. Journal of Pharmaceutical Analysis. 13(9). 1041–1057. 22 indexed citations
9.
Quinn, Brian, et al.. (2022). Elementomics combined with dd-SIMCA and K-NN to identify the geographical origin of rice samples from China, India, and Vietnam. Food Chemistry. 386. 132738–132738. 27 indexed citations
10.
Ch, Ratnasekhar, et al.. (2020). A two-tiered system of analysis to tackle rice fraud: The Indian Basmati study. Talanta. 225. 122038–122038. 21 indexed citations
11.
Chevallier, Olivier, Ratnasekhar Ch, Fei Xu, et al.. (2020). Food Fingerprinting: Using a Two-Tiered approach to Monitor and Mitigate Food Fraud in Rice. Journal of AOAC International. 104(1). 16–28. 20 indexed citations
12.
Rey, Guillaume, N Milev, Utham K. Valekunja, et al.. (2018). Metabolic oscillations on the circadian time scale in Drosophila cells lacking clock genes. Molecular Systems Biology. 14(8). e8376–e8376. 36 indexed citations
13.
Ch, Ratnasekhar, Amit Kumar Singh, Tejasvi Pandey, Prem Narain Saxena, & Mohana Krishna Reddy Mudiam. (2015). Identifying the metabolic perturbations in earthworm induced by cypermethrin using gas chromatography-mass spectrometry based metabolomics. Scientific Reports. 5(1). 15674–15674. 29 indexed citations
14.
Jain, Rajeev, et al.. (2015). Determination of Urinary PAH Metabolites Using DLLME Hyphenated to Injector Port Silylation and GC–MS-MS. Journal of Analytical Toxicology. 39(5). 365–373. 35 indexed citations
15.
Panigrahi, Gatikrushna, Ratnasekhar Ch, Mohana Krishna Reddy Mudiam, et al.. (2015). Activity-Guided Chemo Toxic Profiling ofCassia occidentalis(CO) Seeds: Detection of Toxic Compounds in Body Fluids of CO-Exposed Patients and Experimental Rats. Chemical Research in Toxicology. 28(6). 1120–1132. 44 indexed citations
16.
Kumar, Ajay, et al.. (2014). Exposure to endosulfan influences sperm competition in Drosophila melanogaster. Scientific Reports. 4(1). 7433–7433. 11 indexed citations
17.
18.
19.
Mudiam, Mohana Krishna Reddy, Krishna P. Singh, Shailendra K. Gupta, et al.. (2012). Determination of t,t-muconic acid in urine samples using a molecular imprinted polymer combined with simultaneous ethyl chloroformate derivatization and pre-concentration by dispersive liquid–liquid microextraction. Analytical and Bioanalytical Chemistry. 405(1). 341–349. 37 indexed citations
20.

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Ina Willenberg Breakdown of academic impact, for papers by Aqel W. Abu‐Qare Breakdown of academic impact, for papers by Masami Makita Breakdown of academic impact, for papers by Yi Song Breakdown of academic impact, for papers by Shun Wada Breakdown of academic impact, for papers by W. Pfannhauser Breakdown of academic impact, for papers by Chunlan Tang Breakdown of academic impact, for papers by A. Saari Csallany Breakdown of academic impact, for papers by Hikoto Ohta Breakdown of academic impact, for papers by Dario Giardinà
Rankless by CCL
2026