Debajit Bhowmick

682 total citations
26 papers, 267 citations indexed

About

Debajit Bhowmick is a scholar working on Molecular Biology, Astronomy and Astrophysics and Complementary and alternative medicine. According to data from OpenAlex, Debajit Bhowmick has authored 26 papers receiving a total of 267 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 4 papers in Astronomy and Astrophysics and 4 papers in Complementary and alternative medicine. Recurrent topics in Debajit Bhowmick's work include Single-cell and spatial transcriptomics (5 papers), Ionosphere and magnetosphere dynamics (4 papers) and Sperm and Testicular Function (3 papers). Debajit Bhowmick is often cited by papers focused on Single-cell and spatial transcriptomics (5 papers), Ionosphere and magnetosphere dynamics (4 papers) and Sperm and Testicular Function (3 papers). Debajit Bhowmick collaborates with scholars based in India, United States and Sweden. Debajit Bhowmick's co-authors include Kirsty L. Spalding, Carolina E. Hagberg, Anders Thorell, Maria Kutschke, Sujay Pal, Jérémie Boucher, Matthew Harms, Qian Li, Irina G. Shabalina and Jan Nedergaard and has published in prestigious journals such as Development, Scientific Reports and Biochemical and Biophysical Research Communications.

In The Last Decade

Debajit Bhowmick

24 papers receiving 256 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Debajit Bhowmick India 9 71 59 54 46 44 26 267
Fumiko Otsuka Japan 8 69 1.0× 25 0.4× 33 0.6× 25 0.5× 19 0.4× 38 336
Jeong Woo Kim South Korea 13 11 0.2× 99 1.7× 146 2.7× 46 1.0× 22 0.5× 46 447
Min Sung Lee South Korea 13 131 1.8× 176 3.0× 33 0.6× 114 2.5× 13 0.3× 53 671
S. R. Dennis United States 7 35 0.5× 88 1.5× 128 2.4× 15 0.3× 10 0.2× 9 508
Pablo Torné Spain 16 353 5.0× 169 2.9× 9 0.2× 41 0.9× 30 0.7× 30 1.0k
Wolfgang Mueller United States 10 30 0.4× 54 0.9× 6 0.1× 26 0.6× 39 0.9× 30 413
Odd Johansen Norway 11 79 1.1× 54 0.9× 36 0.7× 41 0.9× 50 1.1× 22 620
David Barraclough United Kingdom 10 50 0.7× 122 2.1× 8 0.1× 56 1.2× 13 0.3× 22 317

Countries citing papers authored by Debajit Bhowmick

Since Specialization
Citations

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

Fields of papers citing papers by Debajit Bhowmick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Debajit Bhowmick

This figure shows the co-authorship network connecting the top 25 collaborators of Debajit Bhowmick. A scholar is included among the top collaborators of Debajit Bhowmick 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 Debajit Bhowmick. Debajit Bhowmick 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.
Bhowmick, Debajit, et al.. (2025). Modeling diffusive search by non-adaptive sperm: Empirical and computational insights. PLoS Computational Biology. 21(4). e1012865–e1012865. 1 indexed citations
2.
Bhowmick, Debajit & Timothy Bushnell. (2025). Impact of Panel Size, Fluorochrome Selection, and Unmixing Algorithms on Ultra‐High Parameter Flow Cytometry Analysis. Cytometry Part A. 107(10). 683–694.
3.
Bhowmick, Debajit & Timothy Bushnell. (2024). How to Measure “Spillover Spread”. Methods in molecular biology. 2779. 69–83. 1 indexed citations
4.
Fisher‐Wellman, Kelsey H., Miki Kassai, P. Darrell Neufer, et al.. (2023). Simultaneous Inhibition of Ceramide Hydrolysis and Glycosylation Synergizes to Corrupt Mitochondrial Respiration and Signal Caspase Driven Cell Death in Drug-Resistant Acute Myeloid Leukemia. Cancers. 15(6). 1883–1883. 5 indexed citations
5.
Bhowmick, Debajit, et al.. (2023). Side-by-Side Comparison of Compensation Beads Used in Polychromatic Flow Cytometry. ImmunoHorizons. 7(12). 819–833. 3 indexed citations
6.
Schmidt, Cameron A., Benjamin J. Hale, Debajit Bhowmick, et al.. (2023). Pyruvate modulation of redox potential controls mouse sperm motility. Developmental Cell. 59(1). 79–90.e6. 10 indexed citations
7.
Bhowmick, Debajit, et al.. (2021). A gain and dynamic range independent index to quantify spillover spread to aid panel design in flow cytometry. Scientific Reports. 11(1). 20553–20553. 4 indexed citations
8.
Bhowmick, Debajit, et al.. (2020). Practical Guidelines for Optimization and Characterization of the Beckman Coulter CytoFLEX™ Platform. Cytometry Part A. 97(8). 800–810. 8 indexed citations
9.
Hagberg, Carolina E., Qian Li, Maria Kutschke, et al.. (2018). Flow Cytometry of Mouse and Human Adipocytes for the Analysis of Browning and Cellular Heterogeneity. Cell Reports. 24(10). 2746–2756.e5. 72 indexed citations
10.
Paul, Sudeshna, Debosree Ghosh, Arnab Ghosh, et al.. (2016). AQUEOUS BARK EXTRACT OF TERMINALIA ARJUNA PROTECTS AGAINST PHENYLHYDRAZINE INDUCED OXIDATIVE DAMAGE IN GOAT RED BLOOD CELL MEMBRANE BOUND AND METABOLIC ENZYMES. International Journal of Pharmacy and Pharmaceutical Sciences. 8(5). 62–70. 2 indexed citations
11.
Nandi, Madhumita, Sujay Pal, Debanjan Mukhopadhyay, et al.. (2016). Natural killer cells contribute to hepatic injury and help in viral persistence during progression of hepatitis B e-antigen-negative chronic hepatitis B virus infection. Clinical Microbiology and Infection. 22(8). 733.e9–733.e19. 28 indexed citations
12.
Sen, Nandini, et al.. (2016). mRNA and Protein levels of rat pancreas specific protein disulphide isomerase are downregulated during Hyperglycemia.. PubMed. 54(2). 100–7.
13.
Bhowmick, Debajit, Sanjaya K. Mallick, Subhadip Das, et al.. (2016). Para-Phenylenediamine Induces Apoptotic Death of Melanoma Cells and Reduces Melanoma Tumour Growth in Mice. Biochemistry Research International. 2016. 1–14. 4 indexed citations
14.
Chakrabarti, Sandip K., et al.. (2015). Unique High Energy Experiment Initiative by ICSP with Weather Balloons. ESASP. 730. 557. 2 indexed citations
15.
Das, Kaushik, et al.. (2015). Epididymal protein ASF is a d-galactose-specific lectin with apoptotic effect on human breast cancer cell line MCF7. International Journal of Biological Macromolecules. 84. 208–220. 1 indexed citations
16.
Ghosh, Arnab, Aindrila Chattopadhyay, Vishwaraman Mohan, et al.. (2014). Trigonelline (99%) Protects against Copper-Ascorbate Induced Oxidative Damage to Aortic Mitochondria In vitro: Involvement of Antioxidant Mechanism(s). International Journal of Pharmaceutical Sciences Review and Research. 29(2). 313–323. 1 indexed citations
17.
Rangari, Vinod D., et al.. (2014). Protective effects of piperine against copper-ascorbate induced toxic injury to goat cardiac mitochondria in vitro. Food & Function. 5(9). 2252–2252. 28 indexed citations
18.
Chakrabarti, Rajarshi, et al.. (2013). Nuclear pool of phosphatidylinositol 4 phosphate 5 kinase 1α is modified by polySUMO-2 during apoptosis. Biochemical and Biophysical Research Communications. 439(2). 209–214. 3 indexed citations
19.
Chakrabarti, S., Debajit Bhowmick, Sumit Chakraborty, et al.. (2013). Study of properties of cosmic rays and solar X-ray flares by balloon borne experiments. Indian Journal of Physics. 88(4). 333–341. 8 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.

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