Joy Das

426 citations
22 papers · 326 · h-index 9

Impact in

    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • IL-33, ST2, and ILC Pathways
    • Immunotherapy and Immune Responses
    • Phagocytosis and Immune Regulation

Papers in

    • Insect Resistance and Genetics 10
    • CRISPR and Genetic Engineering 2
    • T-cell and B-cell Immunology 5
    • Immune Cell Function and Interaction 5
    • Phagocytosis and Immune Regulation 3

Joy Das

22 papers receiving 322 citations

Peers

Joy Das
Comparison fields: 5 of 57
  • Immunology 207
  • Insect Science 23
  • Oncology 39
  • Molecular Biology 93
  • Plant Science 50
Replace Ye Cheng with:
Ye Cheng China
Jocelyn G. Olvera United States
Naïma El Kholti France
Kalina Andreeva United States
Huiyun Seo South Korea
S. Chang United States
Marcelo Falchetti Brazil
Jun Ou China
Lijuan Ding China
Joy Das relative to Ye Cheng China Ye Cheng's profile →
Citations per field
00.5×3.9×
Ye Cheng · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Joy Das, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Joy Das Line = papers co-authored together Joy Das links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009127
2 201347
3 201626
4
Response of aerobic rice to Piriformospora indica.
201419
5 202212
6 202210
7 20088
8 20138
9 20068
10 20247
11 20227
12 20247
13 20246
14 20236
15 20196
16 20235
17 20214
18 20164
19 20233
20 20203

About Joy Das

Joy Das is a scholar working on Molecular Biology, Immunology, Plant Science, Insect Science and Cellular and Molecular Neuroscience, having authored 22 papers that have together received 326 indexed citations. Recurring topics across this work include Insect Resistance and Genetics (10 papers), T-cell and B-cell Immunology (5 papers), Immune Cell Function and Interaction (5 papers), Phagocytosis and Immune Regulation (3 papers), Research in Cotton Cultivation (3 papers), Plant Virus Research Studies (2 papers), CAR-T cell therapy research (2 papers) and CRISPR and Genetic Engineering (2 papers). The work is most often cited by research in Immunology (207 citations), Insect Science (23 citations), Oncology (39 citations), Molecular Biology (93 citations) and Plant Science (50 citations). Joy Das has collaborated with scholars based in India, United States and Saudi Arabia. Frequent co-authors include Derek B. Sant’Angelo, Kim E. Nichols, Martha S. Jordan, Pier Paolo Pandolfi, Gary A. Koretzky, Rachel A. Gottschalk, Takeshi Egawa, Eric Alonzo, Pablo Pereira and Robin M. Hobbs. Their work appears in journals such as Scientific Reports, The Journal of Immunology, Pesticide Biochemistry and Physiology, International Journal of Biological Macromolecules and Nature Communications.

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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