Deepjyoti Kumar Das

709 total citations
16 papers, 540 citations indexed

About

Deepjyoti Kumar Das is a scholar working on Immunology, Infectious Diseases and Molecular Biology. According to data from OpenAlex, Deepjyoti Kumar Das has authored 16 papers receiving a total of 540 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Immunology, 6 papers in Infectious Diseases and 6 papers in Molecular Biology. Recurrent topics in Deepjyoti Kumar Das's work include Tuberculosis Research and Epidemiology (4 papers), Immune cells in cancer (3 papers) and Food composition and properties (2 papers). Deepjyoti Kumar Das is often cited by papers focused on Tuberculosis Research and Epidemiology (4 papers), Immune cells in cancer (3 papers) and Food composition and properties (2 papers). Deepjyoti Kumar Das collaborates with scholars based in India, United States and Canada. Deepjyoti Kumar Das's co-authors include Shikha Negi, Sajid Nadeem, Susanta Pahari, Javed N. Agrewala, Nargis Khan, Javed N. Agrewala, Mohammad Aqdas, Oscar R. Colegio, Manoj Kumar Tewari and Aurobind Vidyarthi and has published in prestigious journals such as Journal of Biological Chemistry, Scientific Reports and Frontiers in Immunology.

In The Last Decade

Deepjyoti Kumar Das

16 papers receiving 535 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Deepjyoti Kumar Das India 10 237 223 136 50 50 16 540
Ghalia Khoder United Arab Emirates 16 309 1.3× 87 0.4× 129 0.9× 61 1.2× 103 2.1× 31 799
Sun-Young Chang South Korea 9 219 0.9× 193 0.9× 129 0.9× 41 0.8× 25 0.5× 14 546
Sajid Nadeem India 12 306 1.3× 164 0.7× 227 1.7× 33 0.7× 32 0.6× 17 518
Javed N. Agrewala India 12 321 1.4× 118 0.5× 217 1.6× 19 0.4× 57 1.1× 15 522
Tomonori Kamiya Japan 13 329 1.4× 174 0.8× 102 0.8× 30 0.6× 129 2.6× 27 712
Eugene Dogkotenge Kuugbee Ghana 10 327 1.4× 47 0.2× 64 0.5× 66 1.3× 119 2.4× 24 557
Annelie Lundin Sweden 7 278 1.2× 116 0.5× 65 0.5× 37 0.7× 38 0.8× 8 491
Hela Jaïdane Tunisia 15 123 0.5× 193 0.9× 190 1.4× 21 0.4× 47 0.9× 39 656
Bader Alshehri Saudi Arabia 13 149 0.6× 48 0.2× 72 0.5× 57 1.1× 39 0.8× 24 488
Kyohei Nishino Japan 8 364 1.5× 65 0.3× 105 0.8× 22 0.4× 66 1.3× 11 605

Countries citing papers authored by Deepjyoti Kumar Das

Since Specialization
Citations

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

Fields of papers citing papers by Deepjyoti Kumar Das

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deepjyoti Kumar Das

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

All Works

16 of 16 papers shown
1.
Malik, Jonaid Ahmad, Sanpreet Singh, Hilal Bashir, et al.. (2024). From defense to dysfunction: Autophagy's dual role in disease pathophysiology. European Journal of Pharmacology. 981. 176856–176856. 5 indexed citations
2.
Sharma, Deepika, Charandeep Singh, Prashant Singh, et al.. (2023). Brevicillin, a novel lanthipeptide from the genusBrevibacilluswith antimicrobial, antifungal, and antiviral activity. Journal of Applied Microbiology. 134(3). 9 indexed citations
3.
Borah, Anjan, Deepjyoti Kumar Das, Rupak Mukhopadhyay, & Charu Lata Mahanta. (2023). Investigation of low amylose rice extrudates blended with germinated green gram and bhimkol flour. Applied Food Research. 3(2). 100315–100315. 2 indexed citations
4.
Sarkar, Anindya, Charandeep Singh, Anshul Sharma, et al.. (2022). A novel plant lectin, NTL-125, interferes with SARS-CoV-2 interaction with hACE2. Virus Research. 315. 198768–198768. 9 indexed citations
5.
Das, Deepjyoti Kumar, Sanpreet Singh, Hilal Bashir, et al.. (2022). Targeting dendritic cells with TLR-2 ligand–coated nanoparticles loaded with Mycobacterium tuberculosis epitope induce antituberculosis immunity. Journal of Biological Chemistry. 298(12). 102596–102596. 6 indexed citations
6.
Jain, Ashish, Vishakha Grover, Anshul Sharma, et al.. (2021). Chlorhexidine: An effective anticovid mouth rinse. Journal of Indian Society of Periodontology. 25(1). 86–86. 36 indexed citations
7.
Aqdas, Mohammad, Deepjyoti Kumar Das, Sanpreet Singh, et al.. (2020). A multiple T cell epitope comprising DNA vaccine boosts the protective efficacy of Bacillus Calmette–Guérin (BCG) against Mycobacterium tuberculosis. BMC Infectious Diseases. 20(1). 677–677. 11 indexed citations
8.
Nadeem, Sajid, et al.. (2020). Gut Dysbiosis Thwarts the Efficacy of Vaccine Against Mycobacterium tuberculosis. Frontiers in Immunology. 11. 726–726. 33 indexed citations
9.
Chatterjee, Deepyan, et al.. (2020). Deciphering the Structural Enigma of HLA Class-II Binding Peptides for Enhanced Immunoinformatics-based Prediction of Vaccine Epitopes. Journal of Proteome Research. 19(11). 4655–4669. 4 indexed citations
10.
Das, Deepjyoti Kumar, Arun Kumar Gupta, & Poonam Mishra. (2020). Drying of citrus grandis (pomelo) fruit juice using block freeze concentration and spray drying. Acta Alimentaria. 49(3). 295–306. 17 indexed citations
11.
Negi, Shikha, Deepjyoti Kumar Das, Susanta Pahari, Sajid Nadeem, & Javed N. Agrewala. (2019). Potential Role of Gut Microbiota in Induction and Regulation of Innate Immune Memory. Frontiers in Immunology. 10. 2441–2441. 167 indexed citations
12.
Negi, Shikha, Susanta Pahari, Deepjyoti Kumar Das, Nargis Khan, & Javed N. Agrewala. (2019). Curdlan Limits Mycobacterium tuberculosis Survival Through STAT-1 Regulated Nitric Oxide Production. Frontiers in Microbiology. 10. 1173–1173. 26 indexed citations
13.
Gajbhiye, Rahul L., Bhaskarjyoti Gogoi, Suman Kumar Samanta, et al.. (2019). Ricinus communis L. fruit extract inhibits migration/invasion, induces apoptosis in breast cancer cells and arrests tumor progression in vivo. Scientific Reports. 9(1). 14493–14493. 57 indexed citations
14.
Borah, Anjan, Deepjyoti Kumar Das, Manuj Kumar Hazarika, Rupak Mukhopadhyay, & Charu Lata Mahanta. (2019). Low‐cost healthy extrudates of rice and bhimkol (Musa balbisiana, ABB) formulated through linear programming. Journal of Food Process Engineering. 42(6). 4 indexed citations
15.
Vidyarthi, Aurobind, Nargis Khan, Tapan Agnihotri, et al.. (2018). TLR-3 Stimulation Skews M2 Macrophages to M1 Through IFN-αβ Signaling and Restricts Tumor Progression. Frontiers in Immunology. 9. 1650–1650. 126 indexed citations
16.
Pahari, Susanta, Gurpreet Kaur, Shikha Negi, et al.. (2018). Reinforcing the Functionality of Mononuclear Phagocyte System to Control Tuberculosis. Frontiers in Immunology. 9. 193–193. 28 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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