Pradeep Kumar Gandam

416 total citations
14 papers, 297 citations indexed

About

Pradeep Kumar Gandam is a scholar working on Biomedical Engineering, Molecular Biology and Organic Chemistry. According to data from OpenAlex, Pradeep Kumar Gandam has authored 14 papers receiving a total of 297 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Biomedical Engineering, 6 papers in Molecular Biology and 3 papers in Organic Chemistry. Recurrent topics in Pradeep Kumar Gandam's work include Biofuel production and bioconversion (9 papers), Microbial Metabolic Engineering and Bioproduction (6 papers) and Catalysis for Biomass Conversion (4 papers). Pradeep Kumar Gandam is often cited by papers focused on Biofuel production and bioconversion (9 papers), Microbial Metabolic Engineering and Bioproduction (6 papers) and Catalysis for Biomass Conversion (4 papers). Pradeep Kumar Gandam collaborates with scholars based in India, Malaysia and Iran. Pradeep Kumar Gandam's co-authors include Rama Raju Baadhe, Ninian Prem Prashanth Pabbathi, Aditya Velidandi, Vijai Kumar Gupta, Minaxi Sharma, Vijay Kumar Thakur, Gauri Sharma, J. Ranjitha, James Gaffey and Ranjna Sirohi and has published in prestigious journals such as Fuel, International Journal of Biological Macromolecules and Environmental Research.

In The Last Decade

Pradeep Kumar Gandam

14 papers receiving 291 citations

Peers

Pradeep Kumar Gandam
Pradeep Kumar Gandam
Citations per year, relative to Pradeep Kumar Gandam Pradeep Kumar Gandam (= 1×) peers Salvador Sánchez-Muñoz

Countries citing papers authored by Pradeep Kumar Gandam

Since Specialization
Citations

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

Fields of papers citing papers by Pradeep Kumar Gandam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pradeep Kumar Gandam. 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 Pradeep Kumar Gandam. The network helps show where Pradeep Kumar Gandam may publish in the future.

Co-authorship network of co-authors of Pradeep Kumar Gandam

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

All Works

14 of 14 papers shown
1.
Gandam, Pradeep Kumar, et al.. (2025). Design and optimization of tamarind seed polysaccharide-based scaffold for tissue engineering applications using statistical modeling and machine learning, and it's in-vitro validation. International Journal of Biological Macromolecules. 301. 140411–140411. 6 indexed citations
2.
Gandam, Pradeep Kumar, et al.. (2025). Tamarind (Tamarindus indica L.) Seed Polysaccharide: A promising biopolymer for drug delivery, wound healing, tissue engineering and beyond. Carbohydrate Research. 552. 109454–109454. 3 indexed citations
3.
Pabbathi, Ninian Prem Prashanth, et al.. (2025). Advancements in Metabolic Engineering: Enhancing Biofuel Production Through Escherichia coli and Saccharomyces cerevisiae Models. Processes. 13(7). 2115–2115. 2 indexed citations
6.
Velidandi, Aditya, Pradeep Kumar Gandam, Rama Raju Baadhe, et al.. (2023). State-of-the-art and future directions of machine learning for biomass characterization and for sustainable biorefinery. Journal of Energy Chemistry. 81. 42–63. 46 indexed citations
9.
Gandam, Pradeep Kumar, Ninian Prem Prashanth Pabbathi, Rama Raju Baadhe, et al.. (2022). Second-generation bioethanol production from corncob – A comprehensive review on pretreatment and bioconversion strategies, including techno-economic and lifecycle perspective. Industrial Crops and Products. 186. 115245–115245. 66 indexed citations
10.
Gandam, Pradeep Kumar, et al.. (2022). A New Insight into the Composition and Physical Characteristics of Corncob—Substantiating Its Potential for Tailored Biorefinery Objectives. Fermentation. 8(12). 704–704. 28 indexed citations
11.
Gandam, Pradeep Kumar, Ninian Prem Prashanth Pabbathi, Aditya Velidandi, et al.. (2022). Corncob-based biorefinery: A comprehensive review of pretreatment methodologies, and biorefinery platforms. Journal of the Energy Institute. 101. 290–308. 33 indexed citations
12.
Pabbathi, Ninian Prem Prashanth, Aditya Velidandi, Pradeep Kumar Gandam, et al.. (2022). Brewer's spent grains-based biorefineries: A critical review. Fuel. 317. 123435–123435. 42 indexed citations
13.
Pabbathi, Ninian Prem Prashanth, et al.. (2021). Role of metagenomics in prospecting novel endoglucanases, accentuating functional metagenomics approach in second-generation biofuel production: a review. Biomass Conversion and Biorefinery. 13(2). 1371–1398. 32 indexed citations
14.
Pabbathi, Ninian Prem Prashanth, Aditya Velidandi, Pradeep Kumar Gandam, et al.. (2020). Novel buffalo rumen metagenome derived acidic cellulase Cel-3.1 cloning, characterization, and its application in saccharifying rice straw and corncob biomass. International Journal of Biological Macromolecules. 170. 239–250. 8 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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