Saikat Chakraborty

1.6k total citations
75 papers, 1.2k citations indexed

About

Saikat Chakraborty is a scholar working on Molecular Biology, Biomedical Engineering and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, Saikat Chakraborty has authored 75 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 21 papers in Biomedical Engineering and 15 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in Saikat Chakraborty's work include Biofuel production and bioconversion (18 papers), Catalysis for Biomass Conversion (13 papers) and Algal biology and biofuel production (10 papers). Saikat Chakraborty is often cited by papers focused on Biofuel production and bioconversion (18 papers), Catalysis for Biomass Conversion (13 papers) and Algal biology and biofuel production (10 papers). Saikat Chakraborty collaborates with scholars based in India, United States and Japan. Saikat Chakraborty's co-authors include Ankit Agrawal, Vemuri Balakotaiah, Kara L. Bren, Banu Kandemir, Akhil Bidani, Ramendra K. Pal, Bruce Alphenaar, Yixing Guo, Aditya D. Mohite and Makiko Sakka and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Physics Letters and PLoS ONE.

In The Last Decade

Saikat Chakraborty

73 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Saikat Chakraborty India 20 542 269 237 211 131 75 1.2k
Ewelina Wiercigroch Poland 13 228 0.4× 234 0.9× 151 0.6× 233 1.1× 163 1.2× 24 1.2k
Yimeng Zhao China 21 385 0.7× 265 1.0× 112 0.5× 217 1.0× 63 0.5× 67 1.5k
Di Song China 22 439 0.8× 239 0.9× 127 0.5× 203 1.0× 65 0.5× 88 1.6k
Francesco Zimbardi Italy 25 1.0k 1.9× 263 1.0× 72 0.3× 208 1.0× 146 1.1× 63 1.6k
Lu Chen China 22 193 0.4× 329 1.2× 75 0.3× 332 1.6× 89 0.7× 96 1.4k
Zhenpeng Zhang China 22 455 0.8× 186 0.7× 114 0.5× 173 0.8× 119 0.9× 115 1.5k
Jueun Kim South Korea 17 163 0.3× 273 1.0× 64 0.3× 229 1.1× 127 1.0× 64 971
Renu Tyagi India 19 192 0.4× 224 0.8× 205 0.9× 311 1.5× 45 0.3× 87 1.3k
Xiaoxi Zhang China 20 407 0.8× 384 1.4× 85 0.4× 257 1.2× 50 0.4× 57 1.4k

Countries citing papers authored by Saikat Chakraborty

Since Specialization
Citations

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

Fields of papers citing papers by Saikat Chakraborty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saikat Chakraborty

This figure shows the co-authorship network connecting the top 25 collaborators of Saikat Chakraborty. A scholar is included among the top collaborators of Saikat Chakraborty 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 Saikat Chakraborty. Saikat Chakraborty 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.
Ghosh, Goutam Kumar, Arnab Atta, & Saikat Chakraborty. (2025). Experimental and simulation-based reactor-scale strategies for engineering high mixotrophic synthesis, carbon sequestration and inter-trophic synergy in algal photobioreactors. Bioresource Technology. 433. 132751–132751. 1 indexed citations
2.
3.
Ghosh, Goutam Kumar, Arnab Atta, & Saikat Chakraborty. (2024). Multiscale effects of radial mixing on mixotrophic microalgal growth and macromolecular synthesis in tubular bubble-column photobioreactors. Algal Research. 80. 103518–103518. 2 indexed citations
4.
5.
Chakraborty, Saikat, et al.. (2022). Multiscale modelling of mixotrophic algal growth in pilot-scale photobioreactors and its application to microalgal cultivation using wastewater. Environmental Research. 214(Pt 3). 113952–113952. 6 indexed citations
6.
Chakraborty, Saikat, et al.. (2021). Light-driven hydrogen production with CdSe quantum dots and a cobalt glutathione catalyst. Chemical Communications. 57(16). 2053–2056. 15 indexed citations
7.
McClelland, Kevin P., et al.. (2020). Enhancing the activity of photocatalytic hydrogen evolution from CdSe quantum dots with a polyoxovanadate cluster. Chemical Communications. 56(62). 8762–8765. 23 indexed citations
8.
Chakraborty, Saikat, et al.. (2017). Standardization of Eclipta Alba by HPTLC, HPLC and AAS. Pharmaceutica Analytica Acta. 8(4). 3 indexed citations
9.
Chakraborty, Saikat, et al.. (2017). Photoinduced charge separation in single-walled carbon nanotube/protein integrated systems. Nanoscale Horizons. 2(3). 163–166. 2 indexed citations
10.
Mathur, Divya & Saikat Chakraborty. (2016). Kinetics of Microwave-based Ionic Liquid-mediated Catalytic Conversion of Ricinus Communis to Biofuel Products. SHILAP Revista de lepidopterología. 1 indexed citations
11.
Bose, Archishman & Saikat Chakraborty. (2016). Mathematical Modelling of the Effects of Circadian Rhythm on Microalgal Growth in Phototrophic and Mixotrophic Cultures. SHILAP Revista de lepidopterología. 2 indexed citations
12.
Pradhan, Subrata, Anirban Chakraborty, Saikat Chakraborty, et al.. (2016). Marker-free transgenic rice expressing the vegetative insecticidal protein (Vip) of Bacillus thuringiensis shows broad insecticidal properties. Planta. 244(4). 789–804. 10 indexed citations
13.
Chakraborty, Saikat, et al.. (2015). Kinetic analysis of two-phase enzymatic hydrolysis of hemicellulose of xylan type. Bioresource Technology. 198. 642–650. 30 indexed citations
14.
Chakraborty, Anirban, Joy Mitra, Subrata Pradhan, et al.. (2015). Transgenic expression of an unedited mitochondrial orfB gene product from wild abortive (WA) cytoplasm of rice (Oryza sativa L.) generates male sterility in fertile rice lines. Planta. 241(6). 1463–1479. 19 indexed citations
15.
Pal, Ramendra K. & Saikat Chakraborty. (2013). A novel mixing strategy for maximizing yields of glucose and reducing sugar in enzymatic hydrolysis of cellulose. Bioresource Technology. 148. 611–614. 24 indexed citations
16.
Sanyal, Tanmoy & Saikat Chakraborty. (2012). Multiscale analysis of hypoxemia in methemoglobin anemia. Mathematical Biosciences. 241(2). 167–180. 1 indexed citations
17.
Chakraborty, Saikat, et al.. (2009). Mathematical modeling of reactive transport of anti‐tumor drugs through electro‐active membranes. Asia-Pacific Journal of Chemical Engineering. 4(3). 345–355. 3 indexed citations
18.
Chakraborty, Saikat, et al.. (2008). Dynamic Simulation of Mixing-Limited Pattern Formation in Homogeneous Autocatalytic Reactions. Chemical Product and Process Modeling. 3(2). 2 indexed citations
19.
Chakraborty, Saikat, et al.. (2008). Linear stability analysis of high- and low-dimensional models for describing mixing-limited pattern formation in homogeneous autocatalytic reactors. Chemical Engineering Journal. 145(3). 399–411. 12 indexed citations
20.
Chakraborty, Saikat, et al.. (2000). Genetic engineering for insect resistance in vegetable crops. Vegetable Science. 27(2). 105–116. 1 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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