Anjali Bhat

1.3k citations
45 papers · 681 · 1 hit paper · h-index 13

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Neural dynamics and brain function
    • Neuroethics, Human Enhancement, Biomedical Innovations

Papers in

Anjali Bhat

41 papers receiving 653 citations

Anjali Bhat's Hit Papers

In vitro neurons learn and exhibit sentience when embodied in a simulated game-world 2022 · 192 citations
1920+1+2Years since publication50100150

Peers

Anjali Bhat
Comparison fields: 5 of 127
  • Cancer Research 108
  • Cognitive Neuroscience 138
  • Development 22
  • Biological Psychiatry 11
  • Cellular and Molecular Neuroscience 82
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Citations per year

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-authors

The 25 scholars most cited alongside Anjali Bhat, 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 Anjali Bhat Line = papers co-authored together Anjali Bhat links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1
In vitro neurons learn and exhibit sentience when embodied in a simulated game-world
Hit paper breakdown →
2022192
2 201673
3 202141
4 200438
5
When policy meets reality : political dynamics and the practice of integration in water resources management reform
201035
6 202029
7 201825
8 202224
9 202123
10 202114
11 201214
12 202113
13 202013
14 202411
15 200511
16 202310
17 202210
18 202210
19 20219
20 20228

About Anjali Bhat

Anjali Bhat is a scholar working on Molecular Biology, Cognitive Neuroscience, Ocean Engineering, Cancer Research and Political Science and International Relations, having authored 45 papers that have together received 681 indexed citations. Recurring topics across this work include Water resources management and optimization (6 papers), Extracellular vesicles in disease (4 papers), Immunotherapy and Immune Responses (3 papers), Schizophrenia research and treatment (3 papers), Systemic Sclerosis and Related Diseases (3 papers), Water Governance and Infrastructure (3 papers), Conservation, Biodiversity, and Resource Management (3 papers) and Hematopoietic Stem Cell Transplantation (2 papers). The work is most often cited by research in Cancer Research (108 citations), Cognitive Neuroscience (138 citations), Development (22 citations), Biological Psychiatry (11 citations) and Cellular and Molecular Neuroscience (82 citations). Anjali Bhat has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Aman Sharma, Karl Friston, William Blomquist, Alok C. Bharti, M. Amin Khajehnejad, Ben Rollo, Forough Habibollahi, Bradyn J. Parker, Nhi T. Tran and Adeel Razi. Their work appears in journals such as Blood, Journal of Biosciences, Nanomedicine, Antioxidants and Frontiers in Psychology.

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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