Joy Das

426 total citations
22 papers, 326 citations indexed

About

Joy Das is a scholar working on Molecular Biology, Immunology and Plant Science. According to data from OpenAlex, Joy Das has authored 22 papers receiving a total of 326 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 9 papers in Immunology and 6 papers in Plant Science. Recurrent topics in Joy Das's work include Insect Resistance and Genetics (10 papers), Immune Cell Function and Interaction (5 papers) and T-cell and B-cell Immunology (5 papers). Joy Das is often cited by papers focused on Insect Resistance and Genetics (10 papers), Immune Cell Function and Interaction (5 papers) and T-cell and B-cell Immunology (5 papers). Joy Das collaborates with scholars based in India, United States and Saudi Arabia. Joy Das's co-authors include Derek B. Sant’Angelo, Pablo Pereira, Pier Paolo Pandolfi, Rachel A. Gottschalk, Martha S. Jordan, Kim E. Nichols, Gary A. Koretzky, Eric Alonzo, Takeshi Egawa and Robin M. Hobbs and has published in prestigious journals such as Nature Communications, Nature Immunology and The Journal of Immunology.

In The Last Decade

Joy Das

22 papers receiving 322 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joy Das India 9 207 93 50 39 23 22 326
Ye Cheng China 6 53 0.3× 109 1.2× 40 0.8× 17 0.4× 6 0.3× 12 235
Naïma El Kholti France 7 90 0.4× 99 1.1× 168 3.4× 24 0.6× 3 0.1× 10 370
Kalina Andreeva United States 11 68 0.3× 174 1.9× 52 1.0× 14 0.4× 3 0.1× 17 324
Ila Joshi India 9 77 0.4× 213 2.3× 114 2.3× 56 1.4× 12 0.5× 25 458
Jocelyn G. Olvera United States 5 154 0.7× 72 0.8× 61 1.2× 57 1.5× 3 0.1× 6 271
Ningxin Dang China 5 46 0.2× 140 1.5× 83 1.7× 39 1.0× 3 0.1× 8 245
Huiyun Seo South Korea 7 47 0.2× 293 3.2× 46 0.9× 24 0.6× 6 0.3× 20 352
S. Chang United States 6 68 0.3× 52 0.6× 83 1.7× 37 0.9× 31 1.3× 9 291
Jun Ou China 9 29 0.1× 258 2.8× 18 0.4× 11 0.3× 36 1.6× 14 376

Countries citing papers authored by Joy Das

Since Specialization
Citations

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

Fields of papers citing papers by Joy Das

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joy Das

This figure shows the co-authorship network connecting the top 25 collaborators of Joy Das. A scholar is included among the top collaborators of Joy 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 Joy Das. Joy 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, Joy, et al.. (2024). Heterologous expression, biochemical characterization and prospects for insecticide biosensing potential of carboxylesterase Ha006a from Helicoverpa armigera. Pesticide Biochemistry and Physiology. 200. 105844–105844. 6 indexed citations
2.
Das, Joy, et al.. (2024). Targeted genome editing for cotton improvement: prospects and challenges. The Nucleus. 67(1). 181–203. 7 indexed citations
3.
Singh, Joginder, Pankaj Kumar Chaudhary, Nadeem A. Khan, et al.. (2024). Fabrication and characterization of polyvinyl alcohol-chitosan composite nanofibers for carboxylesterase immobilization to enhance the stability of the enzyme. Scientific Reports. 14(1). 19615–19615. 7 indexed citations
4.
5.
Das, Joy, et al.. (2023). Simple cost‐effective larval injection method for dsRNA delivery to induce RNAi response in Helicoverpa armigera (Hübner). Journal of Applied Entomology. 147(4). 289–298. 5 indexed citations
6.
Das, Joy, et al.. (2023). Identification and functional characterisation of N-acetylglucosamine kinase from Helicoverpa armigera divulge its potential role in growth and development via UDP-GlcNAc salvage pathway. International Journal of Biological Macromolecules. 242(Pt 1). 124674–124674. 3 indexed citations
7.
Sharma, Monica, et al.. (2022). In silico identification of potential phytochemical inhibitors targeting farnesyl diphosphate synthase of cotton bollworm (Helicoverpa armigera). Journal of Biomolecular Structure and Dynamics. 41(5). 1978–1987. 7 indexed citations
8.
Das, Joy, et al.. (2022). Crystal structure and molecular characterization of NADP+-farnesol dehydrogenase from cotton bollworm, Helicoverpa armigera. Insect Biochemistry and Molecular Biology. 147. 103812–103812. 12 indexed citations
9.
Das, Joy, et al.. (2022). Functional characterization of chitin synthesis pathway genes, HaAGM and HaUAP, reveal their crucial roles in ecdysis and survival of Helicoverpa armigera (Hübner). Pesticide Biochemistry and Physiology. 188. 105273–105273. 10 indexed citations
10.
Das, Joy, S. P. Gawande, J. Annie Sheeba, et al.. (2021). Genome-wide identification and expression analysis of the plant specific LIM genes in Gossypium arboreum under phytohormone, salt and pathogen stress. Scientific Reports. 11(1). 9177–9177. 4 indexed citations
11.
Das, Joy, et al.. (2020). Quantitative real-time PCR based evaluation and validation of reference genes in Gossypium arboreum. The Indian Journal of Agricultural Sciences. 90(1). 40–47. 3 indexed citations
12.
Das, Joy, et al.. (2019). Identification and Expression Pattern Analysis of Two Gossypium hirsutum Zinc Finger Transcription Factors During Cotton Fiber Initiation. National Academy Science Letters. 43(2). 115–119. 6 indexed citations
13.
Das, Joy, et al.. (2017). Isolation, Cloning and Expression of Insecticidal-Protein-Encoding Gene tcdA from Photorhabdus luminescens in Escherichia coli. International Journal of Current Microbiology and Applied Sciences. 6(8). 1718–1724. 2 indexed citations
14.
Vieth, Joshua A, Joy Das, F.M. Ranaivoson, et al.. (2016). TCRα-TCRβ pairing controls recognition of CD1d and directs the development of adipose NKT cells. Nature Immunology. 18(1). 36–44. 26 indexed citations
15.
Arora, Pooja, et al.. (2016). Innate and humoral recognition of the products of cell death: differential antigenicity and immunogenicity in lupus. Clinical & Experimental Immunology. 187(3). 353–368. 4 indexed citations
16.
Thapa, Puspa, Joy Das, Michael J. Shapiro, et al.. (2013). The transcriptional repressor NKAP is required for the development of iNKT cells. Nature Communications. 4(1). 1582–1582. 47 indexed citations
17.
Qiao, Yu, et al.. (2013). A Transgenic TCR Directs the Development of IL-4+ and PLZF+ Innate CD4 T Cells. The Journal of Immunology. 191(2). 737–744. 8 indexed citations
18.
Alonzo, Eric, Rachel A. Gottschalk, Joy Das, et al.. (2009). Development of Promyelocytic Zinc Finger and ThPOK-Expressing Innate γδ T Cells Is Controlled by Strength of TCR Signaling and Id3. The Journal of Immunology. 184(3). 1268–1279. 127 indexed citations
19.
Das, Joy, et al.. (2008). Endogenous humoral autoreactive immune responses to apoptotic cells: Effects on phagocytic uptake, chemotactic migration and antigenic spread. European Journal of Immunology. 38(12). 3561–3574. 8 indexed citations
20.
Hussain, Ejaz, et al.. (2006). Anti-idiotype-mediated epitope spreading and diminished phagocytosis by a human monoclonal antibody recognizing late-stage apoptotic cells. Cell Death and Differentiation. 13(10). 1715–1726. 8 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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