Anjali Bhat

1.0k total citations · 1 hit paper
35 papers, 548 citations indexed

About

Anjali Bhat is a scholar working on Molecular Biology, Cancer Research and Cognitive Neuroscience. According to data from OpenAlex, Anjali Bhat has authored 35 papers receiving a total of 548 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 8 papers in Cancer Research and 7 papers in Cognitive Neuroscience. Recurrent topics in Anjali Bhat's work include Extracellular vesicles in disease (5 papers), MicroRNA in disease regulation (4 papers) and Immunotherapy and Immune Responses (3 papers). Anjali Bhat is often cited by papers focused on Extracellular vesicles in disease (5 papers), MicroRNA in disease regulation (4 papers) and Immunotherapy and Immune Responses (3 papers). Anjali Bhat collaborates with scholars based in United States, India and United Kingdom. Anjali Bhat's co-authors include Aman Sharma, Karl Friston, Alok C. Bharti, Nhi T. Tran, Ben Rollo, Bradyn J. Parker, Shivani Sharma, Brett J. Kagan, Adeel Razi and Forough Habibollahi and has published in prestigious journals such as Neuron, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Anjali Bhat

33 papers receiving 530 citations

Hit Papers

In vitro neurons learn and exhibit sentience when embodie... 2022 2026 2023 2024 2022 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anjali Bhat United States 11 250 134 134 79 58 35 548
Eleonora Vannini Italy 17 302 1.2× 70 0.5× 56 0.4× 161 2.0× 99 1.7× 34 690
Xiao He China 14 242 1.0× 68 0.5× 34 0.3× 77 1.0× 86 1.5× 24 544
Jeffrey M. McManus United States 13 173 0.7× 107 0.8× 88 0.7× 171 2.2× 71 1.2× 21 667
Qiang Yue China 17 180 0.7× 105 0.8× 37 0.3× 92 1.2× 32 0.6× 71 860
Yanhui Cai China 13 190 0.8× 31 0.2× 74 0.6× 52 0.7× 35 0.6× 29 448
Luyao Wang China 11 78 0.3× 163 1.2× 51 0.4× 33 0.4× 38 0.7× 45 448
Ben Rollo Australia 14 252 1.0× 126 0.9× 17 0.1× 159 2.0× 73 1.3× 27 675
Kyoko Takano Japan 16 541 2.2× 61 0.5× 41 0.3× 60 0.8× 20 0.3× 55 875
Aurélie Lacroix France 11 107 0.4× 25 0.2× 54 0.4× 41 0.5× 75 1.3× 30 341
Hsin‐Jung Lee Taiwan 11 126 0.5× 167 1.2× 59 0.4× 92 1.2× 12 0.2× 22 665

Countries citing papers authored by Anjali Bhat

Since Specialization
Citations

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

Fields of papers citing papers by Anjali Bhat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anjali Bhat

This figure shows the co-authorship network connecting the top 25 collaborators of Anjali Bhat. A scholar is included among the top collaborators of Anjali Bhat 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 Anjali Bhat. Anjali Bhat 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.
Bhat, Anjali, et al.. (2025). i-Motifs as regulatory switches: Mechanisms and implications for gene expression. Molecular Therapy — Nucleic Acids. 36(1). 102474–102474. 6 indexed citations
2.
Kukal, Samiksha, et al.. (2024). A quartet of cancer stem cell niches in hepatocellular carcinoma. Cytokine & Growth Factor Reviews. 79. 39–51. 4 indexed citations
3.
Bhat, Anjali, et al.. (2024). Mesenchymal stem cell‐derived extracellular vesicles: Recent therapeutics and targeted drug delivery advances. SHILAP Revista de lepidopterología. 3(5). 9 indexed citations
4.
Kagan, Brett J., Anjali Bhat, Josh Bongard, et al.. (2024). Toward a nomenclature consensus for diverse intelligent systems: Call for collaboration. The Innovation. 5(5). 100658–100658. 5 indexed citations
5.
Wu, Chuanfeng, Selami Demirci, Rahul Palchaudhuri, et al.. (2023). The Impact of CD45-Antibody-Drug Conjugate Conditioning on Clonal Dynamics and Immune Tolerance Post HSPC Transplantation in Rhesus Macaques. Blood. 142(Supplement 1). 3419–3419. 1 indexed citations
6.
Bhat, Anjali, Haritz Irizar, Amalie C. M. Couch, et al.. (2022). Attenuated transcriptional response to pro-inflammatory cytokines in schizophrenia hiPSC-derived neural progenitor cells. Brain Behavior and Immunity. 105. 82–97. 7 indexed citations
7.
Bhat, Anjali, et al.. (2022). Transcriptome analysis of cervical cancer exosomes and detection of HPVE6*I transcripts in exosomal RNA. BMC Cancer. 22(1). 164–164. 24 indexed citations
8.
Kagan, Brett J., Nhi T. Tran, Forough Habibollahi, et al.. (2022). In vitro neurons learn and exhibit sentience when embodied in a simulated game-world. Neuron. 110(23). 3952–3969.e8. 181 indexed citations breakdown →
9.
Bhat, Anjali, Deepak Kumar, Pravindra Kumar, et al.. (2022). RNA splicing: a dual-edged sword for hepatocellular carcinoma. Medical Oncology. 39(11). 173–173. 10 indexed citations
10.
Bhat, Anjali, et al.. (2022). How Stress Can Change Our Deepest Preferences: Stress Habituation Explained Using the Free Energy Principle. Frontiers in Psychology. 13. 865203–865203. 5 indexed citations
11.
Andersen, Stig Ejdrup, María J. Arranz, Rosa Catalán, et al.. (2022). CYP2D6 Genetic Variation and Antipsychotic-Induced Weight Gain: A Systematic Review and Meta-Analysis. Frontiers in Psychology. 12. 768748–768748. 10 indexed citations
12.
Bhat, Anjali, et al.. (2021). Exosomes from cervical cancer cells facilitate pro-angiogenic endothelial reconditioning through transfer of Hedgehog–GLI signaling components. Cancer Cell International. 21(1). 319–319. 40 indexed citations
13.
Bhat, Anjali, Haritz Irizar, Johan H. Thygesen, et al.. (2021). Transcriptome-wide association study reveals two genes that influence mismatch negativity. Cell Reports. 34(11). 108868–108868. 9 indexed citations
14.
Singh, Tejveer, Nikita Aggarwal, Anjali Bhat, et al.. (2021). Targeting Aberrant Expression of STAT3 and AP-1 Oncogenic Transcription Factors and HPV Oncoproteins in Cervical Cancer by Berberis aquifolium. Frontiers in Pharmacology. 12. 757414–757414. 14 indexed citations
15.
Bhat, Anjali, Thomas Parr, Maxwell J. D. Ramstead, & Karl Friston. (2021). Immunoceptive inference: why are psychiatric disorders and immune responses intertwined?. Biology & Philosophy. 36(3). 27–27. 21 indexed citations
16.
Bhat, Anjali, Aman Sharma, & Alok C. Bharti. (2018). Upstream Hedgehog Signaling Components are Exported in Exosomes of Cervical Cancer Cell Lines. Nanomedicine. 13(17). 2127–2138. 25 indexed citations
17.
Bhat, Anjali, et al.. (2016). Elucidating Diversity of Exosomes: Biophysical and Molecular Characterization Methods. Nanomedicine. 11(17). 2359–2377. 72 indexed citations
18.
Bhat, Anjali. (2016). Peculiarities of insight: Clinical implications of self-representations. Journal of Biosciences. 41(1). 3–8. 1 indexed citations
19.
Shirasawa, Kenta, Manish K. Pandey, M. V. C. Gowda, et al.. (2013). Development of NILs from heterogeneous inbred families for validating the rust resistance QTL in peanut (Arachis hypogaea L.). Open Access Repository of ICRISAT (International Crops Research Institute for the Semi-Arid Tropics).
20.
Bhat, Anjali, et al.. (2012). Thymidylate synthase enhancer region polymorphism not related to susceptibility to acute lymphoblastic leukemia in the Kashmir population. Genetics and Molecular Research. 11(2). 906–917. 14 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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