Dipankar Das

2.2k total citations
56 papers, 1.3k citations indexed

About

Dipankar Das is a scholar working on Infectious Diseases, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Dipankar Das has authored 56 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Infectious Diseases, 16 papers in Molecular Biology and 14 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Dipankar Das's work include Monoclonal and Polyclonal Antibodies Research (11 papers), Inflammatory mediators and NSAID effects (11 papers) and SARS-CoV-2 and COVID-19 Research (7 papers). Dipankar Das is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (11 papers), Inflammatory mediators and NSAID effects (11 papers) and SARS-CoV-2 and COVID-19 Research (7 papers). Dipankar Das collaborates with scholars based in Canada, India and United States. Dipankar Das's co-authors include Mavanur R. Suresh, Ying Dong, Edward E. Knaus, Khaled R.A. Abdellatif, Morshed Alam Chowdhury, Carlos Velázquez, M.R. Suresh, Kamaljit Kaur, Vivek Mishra and Les P. Nagata and has published in prestigious journals such as Nature, PLoS ONE and Journal of Agricultural and Food Chemistry.

In The Last Decade

Dipankar Das

54 papers receiving 1.3k citations

Peers

Dipankar Das
Gyanendra Kumar India
Mario E. Valdés‐Tresanco Cuba
Alvin W. Hung Singapore
Mario S. Valdés‐Tresanco Colombia
Cynthia S. Dowd United States
Longlong Si China
Steven E. Patterson United States
Weijun Xu Australia
Giovanna Poce Italy
Lynn D. Hawkins United States
Gyanendra Kumar India
Dipankar Das
Citations per year, relative to Dipankar Das Dipankar Das (= 1×) peers Gyanendra Kumar

Countries citing papers authored by Dipankar Das

Since Specialization
Citations

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

Fields of papers citing papers by Dipankar Das

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dipankar Das

This figure shows the co-authorship network connecting the top 25 collaborators of Dipankar Das. A scholar is included among the top collaborators of Dipankar 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 Dipankar Das. Dipankar 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, Dipankar, et al.. (2022). Forecasting adversities of COVID-19 waves in India using intelligent computing. Innovations in Systems and Software Engineering. 20(4). 821–837. 1 indexed citations
2.
Das, Dipankar, et al.. (2015). Efficient production of Tymovirus like particles displaying immunodominant epitopes of Japanese Encephalitis Virus envelope protein. Protein Expression and Purification. 113. 35–43. 8 indexed citations
3.
Chandran, Dev, et al.. (2012). Use of ESAT-6-CFP-10 fusion protein in the bovine interferon-gamma ELISPOT assay for diagnosis of Mycobacterium bovis infection in cattle. Journal of Microbiological Methods. 90(3). 298–304. 4 indexed citations
4.
Sarkar, Susmita, et al.. (2012). A Bispecific Antibody Based Assay Shows Potential for Detecting Tuberculosis in Resource Constrained Laboratory Settings. PLoS ONE. 7(2). e32340–e32340. 26 indexed citations
5.
Sunwoo, Hoon H., et al.. (2012). Quantitative and sensitive detection of the SARS-CoV spike protein using bispecific monoclonal antibody-based enzyme-linked immunoassay. Journal of Virological Methods. 187(1). 72–78. 23 indexed citations
6.
Abdellatif, Khaled R.A., Morshed Alam Chowdhury, Carlos Velázquez, et al.. (2010). Celecoxib prodrugs possessing a diazen-1-ium-1,2-diolate nitric oxide donor moiety: Synthesis, biological evaluation and nitric oxide release studies. Bioorganic & Medicinal Chemistry Letters. 20(15). 4544–4549. 27 indexed citations
7.
Chowdhury, Morshed Alam, Khaled R.A. Abdellatif, Ying Dong, et al.. (2010). Celecoxib analogs possessing a N-(4-nitrooxybutyl)piperidin-4-yl or N-(4-nitrooxybutyl)-1,2,3,6-tetrahydropyridin-4-yl nitric oxide donor moiety: Synthesis, biological evaluation and nitric oxide release studies. Bioorganic & Medicinal Chemistry Letters. 20(4). 1324–1329. 49 indexed citations
8.
Yu, Gang, Praveen P. N. Rao, Morshed Alam Chowdhury, et al.. (2010). Synthesis and biological evaluation of N-difluoromethyl-1,2-dihydropyrid-2-one acetic acid regioisomers: Dual Inhibitors of cyclooxygenases and 5-lipoxygenase. Bioorganic & Medicinal Chemistry Letters. 20(7). 2168–2173. 30 indexed citations
9.
10.
Yu, Gang, Morshed Alam Chowdhury, Khaled R.A. Abdellatif, et al.. (2009). Phenylacetic acid regioisomers possessing a N-difluoromethyl-1,2-dihydropyrid-2-one pharmacophore: Evaluation as dual inhibitors of cyclooxygenases and 5-lipoxygenase with anti-inflammatory activity. Bioorganic & Medicinal Chemistry Letters. 20(3). 896–902. 17 indexed citations
11.
Chowdhury, Morshed Alam, Khaled R.A. Abdellatif, Ying Dong, et al.. (2008). Synthesis of celecoxib analogs that possess a N-hydroxypyrid-2(1H)one 5-lipoxygenase pharmacophore: Biological evaluation as dual inhibitors of cyclooxygenases and 5-lipoxygenase with anti-inflammatory activity. Bioorganic & Medicinal Chemistry Letters. 18(23). 6138–6141. 46 indexed citations
12.
Das, Dipankar, et al.. (2008). A rapid point of care immunoswab assay for SARS-CoV detection. Journal of Virological Methods. 152(1-2). 77–84. 36 indexed citations
13.
Suresh, Mavanur R., et al.. (2008). Molecular Targets for Diagnostics and Therapeutics of Severe Acute Respiratory Syndrome (SARS-CoV). Journal of Pharmacy & Pharmaceutical Sciences. 11(2). 1–1. 12 indexed citations
14.
15.
Das, Dipankar, Les P. Nagata, & Mavanur R. Suresh. (2007). Immunological evaluation of Escherichia coli expressed E2 protein of Western equine encephalitis virus. Virus Research. 128(1-2). 26–33. 10 indexed citations
16.
Shahhosseini, Soraya, Dipankar Das, Xiangguo Qiu, et al.. (2007). Production and characterization of monoclonal antibodies against different epitopes of Ebola virus antigens. Journal of Virological Methods. 143(1). 29–37. 42 indexed citations
17.
Cheng, Wilson, Dipankar Das, M.R. Suresh, & Theresa M. Allen. (2006). Expression and purification of two anti-CD19 single chain Fv fragments for targeting of liposomes to CD19-expressing cells. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1768(1). 21–29. 19 indexed citations
18.
Das, Dipankar, et al.. (2005). Antigen targeting to dendritic cells with bispecific antibodies. Journal of Immunological Methods. 306(1-2). 80–92. 9 indexed citations
19.
Das, Dipankar, et al.. (2004). Evaluation of a Western Equine Encephalitis recombinant E1 protein for protective immunity and diagnostics. Antiviral Research. 64(2). 85–92. 19 indexed citations
20.
Das, Dipankar & Mavanur R. Suresh. (2004). Producing Bispecific and Bifunctional Antibodies. Humana Press eBooks. 109. 329–346. 12 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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