Devanjali Dutta

3.8k total citations · 3 hit papers
17 papers, 2.5k citations indexed

About

Devanjali Dutta is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Devanjali Dutta has authored 17 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Immunology, 7 papers in Molecular Biology and 6 papers in Oncology. Recurrent topics in Devanjali Dutta's work include Invertebrate Immune Response Mechanisms (7 papers), Neurobiology and Insect Physiology Research (4 papers) and Insect symbiosis and bacterial influences (3 papers). Devanjali Dutta is often cited by papers focused on Invertebrate Immune Response Mechanisms (7 papers), Neurobiology and Insect Physiology Research (4 papers) and Insect symbiosis and bacterial influences (3 papers). Devanjali Dutta collaborates with scholars based in Netherlands, Germany and United States. Devanjali Dutta's co-authors include Hans Clevers, Inha Heo, Bruce A. Edgar, Parthive H. Patel, Jerome Korzelius, Matthias P. Lütolf, Nikolce Gjorevski, Irina Kolotuev, Olga Mitrofanova and Nicolas Broguière and has published in prestigious journals such as Nature, Nature Communications and The EMBO Journal.

In The Last Decade

Devanjali Dutta

17 papers receiving 2.5k citations

Hit Papers

Disease Modeling in Stem Cell-Derived 3D Organoid Systems 2017 2026 2020 2023 2017 2020 2018 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Devanjali Dutta Netherlands 14 992 844 630 546 380 17 2.5k
Mark D. Brigham United States 11 3.2k 3.2× 514 0.6× 338 0.5× 210 0.4× 298 0.8× 21 4.1k
David G. Gonzalez United States 24 987 1.0× 342 0.4× 577 0.9× 1.2k 2.1× 74 0.2× 36 2.9k
Hirotaka Kanuka Japan 33 1.6k 1.6× 186 0.2× 149 0.2× 1.1k 2.1× 554 1.5× 92 3.6k
Gerald Schwank Switzerland 25 3.2k 3.2× 962 1.1× 1.4k 2.3× 217 0.4× 142 0.4× 47 4.9k
Peter D. Rathjen Australia 30 3.3k 3.4× 344 0.4× 374 0.6× 405 0.7× 134 0.4× 76 4.1k
Inha Heo Netherlands 19 4.6k 4.7× 678 0.8× 738 1.2× 254 0.5× 87 0.2× 21 6.1k
George N. Cox United States 32 1.3k 1.3× 157 0.2× 264 0.4× 167 0.3× 83 0.2× 71 3.2k
Sylvie Rouquier France 19 887 0.9× 182 0.2× 124 0.2× 253 0.5× 369 1.0× 36 2.0k
Michael J. Redd United States 19 1.7k 1.7× 250 0.3× 110 0.2× 660 1.2× 163 0.4× 33 3.1k
Jens Vuust Denmark 34 1.6k 1.6× 148 0.2× 205 0.3× 296 0.5× 239 0.6× 84 3.5k

Countries citing papers authored by Devanjali Dutta

Since Specialization
Citations

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

Fields of papers citing papers by Devanjali Dutta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Devanjali Dutta

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

All Works

17 of 17 papers shown
1.
Dutta, Devanjali, L. Francisco Lorenzo‐Martín, François Rivest, et al.. (2024). Probing the killing potency of tumor-infiltrating lymphocytes on microarrayed colorectal cancer tumoroids. npj Precision Oncology. 8(1). 179–179. 1 indexed citations
2.
Yang, Annie, Devanjali Dutta, Kai Kretzschmar, et al.. (2023). Development of Plasmodium falciparum liver-stages in hepatocytes derived from human fetal liver organoid cultures. Nature Communications. 14(1). 4631–4631. 13 indexed citations
3.
Puschhof, Jens, Cayetano Pleguezuelos‐Manzano, Adriana Martínez-Silgado, et al.. (2021). Intestinal organoid cocultures with microbes. Nature Protocols. 16(10). 4633–4649. 171 indexed citations
4.
Nikolaev, Mikhail, Olga Mitrofanova, Nicolas Broguière, et al.. (2020). Homeostatic mini-intestines through scaffold-guided organoid morphogenesis. Nature. 585(7826). 574–578. 534 indexed citations breakdown →
5.
Dutta, Devanjali, Inha Heo, & Roberta M. O’Connor. (2019). Studying <em>Cryptosporidium</em> Infection in 3D Tissue-derived Human Organoid Culture Systems by Microinjection. Journal of Visualized Experiments. 18 indexed citations
6.
Dutta, Devanjali, Inha Heo, & Roberta M. O’Connor. (2019). Studying <em>Cryptosporidium</em> Infection in 3D Tissue-derived Human Organoid Culture Systems by Microinjection. Journal of Visualized Experiments. 4 indexed citations
7.
Heo, Inha, Devanjali Dutta, Deborah A. Schaefer, et al.. (2018). Modelling Cryptosporidium infection in human small intestinal and lung organoids. Nature Microbiology. 3(7). 814–823. 292 indexed citations breakdown →
8.
Dutta, Devanjali, Inha Heo, & Hans Clevers. (2017). Disease Modeling in Stem Cell-Derived 3D Organoid Systems. Trends in Molecular Medicine. 23(5). 393–410. 601 indexed citations breakdown →
9.
Dutta, Devanjali & Hans Clevers. (2017). Organoid culture systems to study host–pathogen interactions. Current Opinion in Immunology. 48. 15–22. 135 indexed citations
10.
Patel, Parthive H., Devanjali Dutta, & Bruce A. Edgar. (2015). Niche appropriation by Drosophila intestinal stem cell tumours. Nature Cell Biology. 17(9). 1182–1192. 113 indexed citations
11.
Dutta, Devanjali, A. Dobson, Philip Houtz, et al.. (2015). Regional Cell-Specific Transcriptome Mapping Reveals Regulatory Complexity in the Adult Drosophila Midgut. Cell Reports. 12(2). 346–358. 173 indexed citations
12.
Dutta, Devanjali, Nicolas Buchon, Jinyi Xiang, & Bruce A. Edgar. (2015). Regional Cell Specific RNA Expression Profiling of FACS Isolated Drosophila Intestinal Cell Populations. Current Protocols in Stem Cell Biology. 34(1). 2F.2.1–2F.2.14. 25 indexed citations
13.
Zhou, Jun, Devanjali Dutta, Gráinne Kerr, et al.. (2014). Dpp/Gbb signaling is required for normal intestinal regeneration during infection. Developmental Biology. 399(2). 189–203. 58 indexed citations
14.
Korzelius, Jerome, Mariano Loza‐Coll, Devanjali Dutta, et al.. (2014). Escargot maintains stemness and suppresses differentiation in Drosophila intestinal stem cells. The EMBO Journal. 33(24). 2967–2982. 101 indexed citations
15.
Zielke, Norman, Jerome Korzelius, Monique van Straaten, et al.. (2014). Fly-FUCCI: A Versatile Tool for Studying Cell Proliferation in Complex Tissues. Cell Reports. 7(2). 588–598. 190 indexed citations
16.
Kohlmaier, Alexander, Christina Fassnacht, Yinhua Jin, et al.. (2014). Src kinase function controls progenitor cell pools during regeneration and tumor onset in the Drosophila intestine. Oncogene. 34(18). 2371–2384. 34 indexed citations
17.
Dutta, Devanjali, Jinyi Xiang, & Bruce A. Edgar. (2013). RNA Expression Profiling from FACS‐Isolated Cells of the Drosophila Intestine. Current Protocols in Stem Cell Biology. 27(1). 2F.2.1–2F.2.12. 37 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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