Dipankar Malakar

406 total citations
22 papers, 258 citations indexed

About

Dipankar Malakar is a scholar working on Molecular Biology, Clinical Biochemistry and Rheumatology. According to data from OpenAlex, Dipankar Malakar has authored 22 papers receiving a total of 258 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 3 papers in Clinical Biochemistry and 3 papers in Rheumatology. Recurrent topics in Dipankar Malakar's work include Metabolomics and Mass Spectrometry Studies (2 papers), Advanced Proteomics Techniques and Applications (2 papers) and Molecular Biology Techniques and Applications (2 papers). Dipankar Malakar is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (2 papers), Advanced Proteomics Techniques and Applications (2 papers) and Molecular Biology Techniques and Applications (2 papers). Dipankar Malakar collaborates with scholars based in India, Bangladesh and Japan. Dipankar Malakar's co-authors include Manoj M. Pillai, Shantanu Sengupta, Ajay Bhat, Arghya Basu, Mahesh J. Kulkarni, Anil K. Ghosh, Trayambak Basak, Sadhana Joshi, A. Ghosh and Sheon Mary and has published in prestigious journals such as Fertility and Sterility, Biochimica et Biophysica Acta (BBA) - General Subjects and Journal of Food Science.

In The Last Decade

Dipankar Malakar

20 papers receiving 255 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dipankar Malakar India 11 148 26 25 24 22 22 258
Lauri Polari Finland 10 92 0.6× 16 0.6× 20 0.8× 44 1.8× 30 1.4× 23 314
Maghsod Shaaker Iran 10 133 0.9× 12 0.5× 10 0.4× 7 0.3× 24 1.1× 17 361
Michal Miko Slovakia 11 166 1.1× 14 0.5× 15 0.6× 13 0.5× 34 1.5× 38 393
Zhenan Ling China 8 228 1.5× 5 0.2× 12 0.5× 13 0.5× 25 1.1× 11 383
Hongli Zhu China 12 194 1.3× 5 0.2× 19 0.8× 26 1.1× 66 3.0× 48 423
Aditya Upadhyay India 10 191 1.3× 16 0.6× 10 0.4× 3 0.1× 11 0.5× 22 290
Jiasheng Li China 10 111 0.8× 12 0.5× 8 0.3× 6 0.3× 10 0.5× 18 278
Liying Jin China 13 223 1.5× 63 2.4× 35 1.4× 24 1.0× 137 6.2× 26 490
Alia Aldahlawi Saudi Arabia 12 149 1.0× 5 0.2× 25 1.0× 4 0.2× 43 2.0× 34 342
Yanfei Cheng China 10 239 1.6× 6 0.2× 27 1.1× 6 0.3× 18 0.8× 23 315

Countries citing papers authored by Dipankar Malakar

Since Specialization
Citations

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

Fields of papers citing papers by Dipankar Malakar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dipankar Malakar

This figure shows the co-authorship network connecting the top 25 collaborators of Dipankar Malakar. A scholar is included among the top collaborators of Dipankar Malakar 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 Dipankar Malakar. Dipankar Malakar 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.
Malakar, Dipankar, et al.. (2025). Early and advanced glycation end product analysis from women with PCOS on metformin. Reproductive Biology. 25(1). 100993–100993. 2 indexed citations
2.
Malakar, Dipankar, et al.. (2024). Preparedness and Competencies of Higher Education Teachers to Teach Online: A Study in North-East India. Journal of Learning for Development. 11(2). 270–288.
4.
Naushin, Salwa, Arjun Ray, Praveen Singh, et al.. (2022). A High Throughput Lipidomics Method Using Scheduled Multiple Reaction Monitoring. Biomolecules. 12(5). 709–709. 14 indexed citations
5.
Kumar, Bhoj, Amit Dey, Abhishek Singh, et al.. (2021). Dynamic Alteration in the Vaginal Secretory Proteome across the Early and Mid-Trimesters of Pregnancy. Journal of Proteome Research. 20(2). 1190–1205. 5 indexed citations
6.
Gupta, Siddhi, Arnab Mukhopadhyay, Dipankar Malakar, et al.. (2021). Alternative splicing of ceramide synthase 2 alters levels of specific ceramides and modulates cancer cell proliferation and migration in Luminal B breast cancer subtype. Cell Death and Disease. 12(2). 171–171. 21 indexed citations
7.
Taunk, Khushman, Tathagat Chatterjee, Sanjeevan Sharma, et al.. (2021). Proteomic Alterations in Multiple Myeloma: A Comprehensive Study Using Bone Marrow Interstitial Fluid and Serum Samples. Frontiers in Oncology. 10. 566804–566804. 16 indexed citations
9.
Malakar, Dipankar, et al.. (2020). Putative serum protein biomarkers for epsilon toxin exposure in mouse model using LC-MS/MS analysis. Anaerobe. 63. 102209–102209. 7 indexed citations
10.
Singh, Akansha, Dipankar Malakar, M G Dr.Krishna Pillai, et al.. (2020). Assessment of nutritional value and quantitative analysis of bioactive phytochemicals through targeted LC‐MS/MS method in selected scented and pigmented rice varietals. Journal of Food Science. 85(6). 1781–1792. 14 indexed citations
11.
Chanda, Joydeb, Pulok K. Mukherjee, Rajarshi Biswas, Dipankar Malakar, & Manoj M. Pillai. (2018). Study of pancreatic lipase inhibition kinetics and LC–QTOF–MS‐based identification of bioactive constituents of Momordica charantia fruits. Biomedical Chromatography. 33(4). e4463–e4463. 16 indexed citations
12.
Bhat, Ajay, Dipankar Malakar, & Shantanu Sengupta. (2016). EVALUATION OF SWATH-MS BASED QUANTIFICATION FOR ITS ACCURACY AND CONSISTENCY ACROSS CONCENTRATIONS OF SPIKED-IN PEPTIDES. Journal of Proteins and Proteomics. 7(2). 1 indexed citations
13.
Bader, Samuel L., Pankaj Kumar, Dipankar Malakar, et al.. (2016). An integrated transcriptomics-guided genome-wide promoter analysis and next-generation proteomics approach to mine factor(s) regulating cellular differentiation. DNA Research. dsw057–dsw057. 12 indexed citations
14.
Basak, Trayambak, Ajay Bhat, Dipankar Malakar, Manoj M. Pillai, & Shantanu Sengupta. (2015). In-depth comparative proteomic analysis of yeast proteome using iTRAQ and SWATH based MS. Molecular BioSystems. 11(8). 2135–2143. 32 indexed citations
15.
Malakar, Dipankar. (2013). ANALYSIS OF PROTEIN PHOSPHORYLATION BY MASS SPECTROMETRY. Journal of Proteins and Proteomics. 2(2). 1 indexed citations
16.
Malakar, Dipankar. (2013). Role of Indian Post in Financial Inclusion. IOSR Journal of Humanities and Social Science. 6(4). 4–7. 1 indexed citations
17.
Malakar, Dipankar, Abir Dey, Arghya Basu, & A. Ghosh. (2008). Antiapoptotic role of S-adenosyl-l-methionine against hydrochloric acid induced cell death in Saccharomyces cerevisiae. Biochimica et Biophysica Acta (BBA) - General Subjects. 1780(7-8). 937–947. 18 indexed citations
18.
Basu, Arghya, et al.. (2007). Co-purification of glucanase with acid trehalase–invertase aggregate in Saccharomyces cerevisiae. Biotechnology Letters. 30(2). 299–304. 9 indexed citations
19.
Malakar, Dipankar, et al.. (2006). Protective role of S-adenosyl-l-methionine against hydrochloric acid stress in Saccharomyces cerevisiae. Biochimica et Biophysica Acta (BBA) - General Subjects. 1760(9). 1298–1303. 11 indexed citations
20.
Datta, Malabika, et al.. (2003). Immotilin, a novel sperm immobilizing protein. Fertility and Sterility. 79. 1673–1675. 7 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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