Asmita Das

2.6k total citations · 1 hit paper
58 papers, 2.0k citations indexed

About

Asmita Das is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Asmita Das has authored 58 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 15 papers in Immunology and 13 papers in Oncology. Recurrent topics in Asmita Das's work include Immune Cell Function and Interaction (11 papers), Computational Drug Discovery Methods (6 papers) and T-cell and B-cell Immunology (6 papers). Asmita Das is often cited by papers focused on Immune Cell Function and Interaction (11 papers), Computational Drug Discovery Methods (6 papers) and T-cell and B-cell Immunology (6 papers). Asmita Das collaborates with scholars based in India, United States and Sweden. Asmita Das's co-authors include Bilikere S. Dwarakanath, Anant Narayan Bhatt, Neeraj Kumari, Chabita Saha, Bansi D. Malhotra, Shine Augustine, Monideepa Roy, Eric O. Long, Monica Sharma and Richa Sharma and has published in prestigious journals such as SHILAP Revista de lepidopterología, Immunity and The Journal of Immunology.

In The Last Decade

Asmita Das

52 papers receiving 2.0k citations

Hit Papers

Role of interleukin-6 in cancer progression and therapeut... 2016 2026 2019 2022 2016 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Asmita Das India 19 701 575 446 297 262 58 2.0k
Haocai Chang China 14 886 1.3× 436 0.8× 600 1.3× 315 1.1× 339 1.3× 21 1.9k
Sunyoung Park South Korea 27 782 1.1× 421 0.7× 316 0.7× 401 1.4× 221 0.8× 107 2.3k
Guan Jiang China 20 804 1.1× 339 0.6× 237 0.5× 502 1.7× 275 1.0× 52 2.0k
Anant Narayan Bhatt India 23 1.1k 1.6× 612 1.1× 374 0.8× 326 1.1× 475 1.8× 67 2.7k
Jatin Roper United States 21 958 1.4× 575 1.0× 222 0.5× 185 0.6× 372 1.4× 54 2.2k
Yao‐Ching Hung Taiwan 33 763 1.1× 428 0.7× 253 0.6× 232 0.8× 286 1.1× 100 2.6k
Nan Xu China 24 803 1.1× 486 0.8× 230 0.5× 358 1.2× 154 0.6× 114 2.1k
Martina Raudenská Czechia 22 862 1.2× 477 0.8× 209 0.5× 170 0.6× 438 1.7× 69 1.9k
Valentina De Falco Italy 25 1.3k 1.8× 892 1.6× 238 0.5× 218 0.7× 274 1.0× 40 2.6k
Yue Wang China 27 895 1.3× 425 0.7× 406 0.9× 287 1.0× 126 0.5× 137 2.2k

Countries citing papers authored by Asmita Das

Since Specialization
Citations

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

Fields of papers citing papers by Asmita Das

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Asmita Das

This figure shows the co-authorship network connecting the top 25 collaborators of Asmita Das. A scholar is included among the top collaborators of Asmita Das 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 Asmita Das. Asmita Das 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.
Das, Asmita, et al.. (2024). Dental management of Goldenhar syndrome in a pediatric patient. SHILAP Revista de lepidopterología. 2(1). 29–32.
2.
Dey, Namit, Deenan Santhiya, & Asmita Das. (2023). One‐Pot Synthesis of Doxorubicin‐Bioactive Glass‐Ceramic Hybrid Nanoparticles through a Bio‐Inspired Route for Anti‐Cancer Therapy. ChemistrySelect. 8(5). 3 indexed citations
3.
Das, Asmita, et al.. (2023). New insights into the therapeutic approaches for the treatment of tauopathies. Neural Regeneration Research. 19(5). 1020–1026. 10 indexed citations
4.
Chandra, Prakash, et al.. (2023). Immune checkpoint targeting antibodies hold promise for combinatorial cancer therapeutics. Clinical and Experimental Medicine. 23(8). 4297–4322. 5 indexed citations
5.
Chandra, Prakash, et al.. (2023). The Prognosis of Cancer Depends on the Interplay of Autophagy, Apoptosis, and Anoikis within the Tumor Microenvironment. Cell Biochemistry and Biophysics. 81(4). 621–658. 8 indexed citations
6.
Verma, Krishan Kumar, et al.. (2023). Phytochemical-Based Synthesis of Silver Nanoparticle: Mechanism and Potential Applications. BioNanoScience. 13(3). 1359–1380. 29 indexed citations
7.
Das, Asmita, et al.. (2023). Racial disparities in cancer care, an eyeopener for developing better global cancer management strategies. Cancer Reports. 6(S1). e1807–e1807. 3 indexed citations
8.
Gupta, Niharika, Devendra Kumar, Asmita Das, Seema Sood, & Bansi D. Malhotra. (2023). Conductive Ink-Coated Paper-Based Supersandwich DNA Biosensor for Ultrasensitive Detection of Neisseria gonorrhoeae. Biosensors. 13(4). 486–486. 8 indexed citations
9.
Das, Asmita, et al.. (2022). Evaluation of Phytocompounds of Vitis vinifera, Tabernaemontana corymbosa and Aloe vera against JAB1: A Strategy to Treat Cervical Cancer. Letters in Applied NanoBioScience. 12(3). 66–66. 2 indexed citations
10.
Kumari, Smita, et al.. (2019). Activation of Epithelial-Mesenchymal Transition and Altered β-Catenin Signaling in a Novel Indian Colorectal Carcinoma Cell Line. Frontiers in Oncology. 9. 54–54. 12 indexed citations
11.
Sharma, Richa & Asmita Das. (2017). IL-2 mediates NK cell proliferation but not hyperactivity. Immunologic Research. 66(1). 151–157. 32 indexed citations
12.
Das, Asmita, et al.. (2017). Catalase inhibition an anti cancer property of flavonoids: A kinetic and structural evaluation. International Journal of Biological Macromolecules. 104(Pt A). 929–935. 41 indexed citations
13.
Kumari, Neeraj, Bilikere S. Dwarakanath, Asmita Das, & Anant Narayan Bhatt. (2016). Role of interleukin-6 in cancer progression and therapeutic resistance. Tumor Biology. 37(9). 11553–11572. 797 indexed citations breakdown →
14.
Bhatt, Anant Narayan, et al.. (2016). Radiation-induced autophagy: mechanisms and consequences. Free Radical Research. 50(3). 273–290. 85 indexed citations
15.
Goyal, Sukriti, et al.. (2016). Molecular modeling and lead design of substituted zanamivir derivatives as potent anti-influenza drugs. BMC Bioinformatics. 17(S19). 512–512. 6 indexed citations
16.
Sharma, Richa & Asmita Das. (2013). Organ-specific phenotypic and functional features of NK cells in humans. Immunologic Research. 58(1). 125–131. 29 indexed citations
17.
Kim, Hun Sik, et al.. (2010). Synergistic Signals for Natural Cytotoxicity Are Required to Overcome Inhibition by c-Cbl (89.16). The Journal of Immunology. 184(Supplement_1). 89.16–89.16. 1 indexed citations
18.
Das, Asmita, Manoj Kumar Gupta, & Rajiv K. Saxena. (2004). Enhanced activation of mouse NK cells by IL2 in the presence of circulating immune complexes. Current Science. 87(6). 780–783. 2 indexed citations
19.
Das, Asmita. (2003). Modulation of NK cell differentiation and activation by NK cell receptors for tumor cell expressed ligands. 1 indexed citations
20.
Das, Asmita & Rajiv K. Saxena. (2001). Abrogation of tumor induced Ly49 expression on mouse spleen cells by Mitomycin C. Immunology Letters. 77(2). 73–77. 2 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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