Krishna Bharani

553 total citations
13 papers, 398 citations indexed

About

Krishna Bharani is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, Krishna Bharani has authored 13 papers receiving a total of 398 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Cellular and Molecular Neuroscience and 3 papers in Cognitive Neuroscience. Recurrent topics in Krishna Bharani's work include Alzheimer's disease research and treatments (3 papers), Child and Animal Learning Development (3 papers) and Neuroinflammation and Neurodegeneration Mechanisms (2 papers). Krishna Bharani is often cited by papers focused on Alzheimer's disease research and treatments (3 papers), Child and Animal Learning Development (3 papers) and Neuroinflammation and Neurodegeneration Mechanisms (2 papers). Krishna Bharani collaborates with scholars based in United States, Sweden and India. Krishna Bharani's co-authors include Debomoy K. Lahiri, Nipun Chopra, Miguel A. Pappolla, Nigel H. Greig, Vasudevaraju Padmaraju, Kumar Sambamurti, Ann‐Charlotte Granholm, Steven L. Carroll, Aurélie Ledreux and Marianne Schultzberg and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Neurobiology of Aging.

In The Last Decade

Krishna Bharani

10 papers receiving 389 citations

Peers

Krishna Bharani
Ahsan Habib United States
Krishna Bharani
Citations per year, relative to Krishna Bharani Krishna Bharani (= 1×) peers Ahsan Habib

Countries citing papers authored by Krishna Bharani

Since Specialization
Citations

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

Fields of papers citing papers by Krishna Bharani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Krishna Bharani

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

All Works

13 of 13 papers shown
1.
Bertrand, Sophie, Sophia B. Chernikova, Kate E. Therkelsen, et al.. (2025). Adaptive cohort design and LAT1 expression scale: study protocol for a Phase 2a trial of QBS72S in breast cancer brain metastases. BMC Cancer. 25(1). 1316–1316.
2.
Nguyen, Minh, Ekin Güney, Krishna Bharani, et al.. (2024). High-Grade Progression, Sarcomatous Transformation, and/or Metastasis of Pituitary Neuroendocrine Neoplasms (PitNENs): The UCSF Experience. Endocrine Pathology. 35(4). 338–348. 2 indexed citations
3.
Srinivasan, Karthikeyan, et al.. (2024). Altemeier Procedure for Complete Rectal Prolapse: An Operation for all Ages and its Long-Term Functional Outcomes. SHILAP Revista de lepidopterología. 44(4). e249–e252.
4.
Lemoine, Laëtitia, Aurélie Ledreux, Elliott J. Mufson, et al.. (2020). Regional binding of tau and amyloid PET tracers in Down syndrome autopsy brain tissue. Molecular Neurodegeneration. 15(1). 68–68. 19 indexed citations
5.
Hjorth, Erik, et al.. (2020). Receptors for pro‐resolving mediators are increased in Alzheimer's disease brain. Brain Pathology. 30(3). 614–640. 45 indexed citations
6.
Bharani, Krishna, et al.. (2019). Serum pro-BDNF levels correlate with phospho-tau staining in Alzheimer's disease. Neurobiology of Aging. 87. 49–59. 46 indexed citations
8.
Bharani, Krishna, et al.. (2017). A noradrenergic lesion aggravates the effects of systemic inflammation on the hippocampus of aged rats. PLoS ONE. 12(12). e0189821–e0189821. 27 indexed citations
9.
Bharani, Krishna, et al.. (2015). Compensatory processing during rule-based category learning in older adults. Aging Neuropsychology and Cognition. 23(3). 304–326. 4 indexed citations
10.
Morrison, Robert, Paul J. Reber, Krishna Bharani, & Ken A. Paller. (2015). Dissociation of category-learning systems via brain potentials. Frontiers in Human Neuroscience. 9. 389–389. 13 indexed citations
11.
Bharani, Krishna, Vasudevaraju Padmaraju, Nipun Chopra, et al.. (2015). Amyloid-Beta Protein Clearance and Degradation (ABCD) Pathways and their Role in Alzheimer’s Disease. Current Alzheimer Research. 12(1). 32–46. 239 indexed citations
12.
Sweis, Brian M., Krishna Bharani, & Robert Morrison. (2012). Time Course of Inhibitory Control During Analogical Reasoning: An Event-Related Potential Approach. Cognitive Science. 34(34). 2 indexed citations
13.
Balasubramanian, Siva, et al.. (2012). An interesting case of Leigh-like syndrome. Annals of Indian Academy of Neurology. 15(4). 310–310. 1 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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