Ambuja Navalkar

2.0k total citations
28 papers, 750 citations indexed

About

Ambuja Navalkar is a scholar working on Molecular Biology, Physiology and Neurology. According to data from OpenAlex, Ambuja Navalkar has authored 28 papers receiving a total of 750 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 10 papers in Physiology and 8 papers in Neurology. Recurrent topics in Ambuja Navalkar's work include Alzheimer's disease research and treatments (10 papers), Parkinson's Disease Mechanisms and Treatments (8 papers) and RNA Research and Splicing (7 papers). Ambuja Navalkar is often cited by papers focused on Alzheimer's disease research and treatments (10 papers), Parkinson's Disease Mechanisms and Treatments (8 papers) and RNA Research and Splicing (7 papers). Ambuja Navalkar collaborates with scholars based in India, United States and Sweden. Ambuja Navalkar's co-authors include Samir K. Maji, Rakesh Kumar, Debalina Datta, Surabhi Mehra, Ganesh M. Mohite, Sudesh T. Manjare, Dhiman Ghosh, Narendra Nath Jha, Saikat Ghosh and Komal Patel and has published in prestigious journals such as Nature Communications, Molecular Cell and Biomaterials.

In The Last Decade

Ambuja Navalkar

26 papers receiving 744 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ambuja Navalkar India 15 357 173 170 115 86 28 750
Reeba S. Jacob India 16 560 1.6× 205 1.2× 479 2.8× 82 0.7× 99 1.2× 23 1.3k
Alessia Lasorsa Netherlands 12 308 0.9× 58 0.3× 281 1.7× 98 0.9× 119 1.4× 29 950
Amanda Penco Italy 17 471 1.3× 171 1.0× 269 1.6× 41 0.4× 36 0.4× 23 772
Xin Cheng Canada 16 277 0.8× 48 0.3× 124 0.7× 109 0.9× 129 1.5× 31 760
Ji Hye Hong South Korea 13 443 1.2× 69 0.4× 98 0.6× 57 0.5× 149 1.7× 17 1.1k
Ya Wen China 18 338 0.9× 33 0.2× 58 0.3× 74 0.6× 206 2.4× 48 1.0k
Heledd Jarosz-Griffiths United Kingdom 17 674 1.9× 45 0.3× 503 3.0× 53 0.5× 56 0.7× 23 1.3k
Zhenming Du United States 13 481 1.3× 30 0.2× 266 1.6× 40 0.3× 24 0.3× 20 765
Christin Helmschrodt Germany 12 308 0.9× 53 0.3× 60 0.4× 33 0.3× 45 0.5× 16 500

Countries citing papers authored by Ambuja Navalkar

Since Specialization
Citations

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

Fields of papers citing papers by Ambuja Navalkar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ambuja Navalkar

This figure shows the co-authorship network connecting the top 25 collaborators of Ambuja Navalkar. A scholar is included among the top collaborators of Ambuja Navalkar 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 Ambuja Navalkar. Ambuja Navalkar 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.
Navalkar, Ambuja, et al.. (2026). Density transitions in the regulation of transcription. Molecular Cell. 86(4). 567–584.
2.
Navalkar, Ambuja, et al.. (2025). Protein aggregates and biomolecular condensates: implications for human health and disease. Frontiers in Molecular Biosciences. 12. 1719678–1719678.
3.
Datta, Debalina, Ambuja Navalkar, Arunima Sakunthala, et al.. (2024). Nucleo-cytoplasmic environment modulates spatiotemporal p53 phase separation. Science Advances. 10(50). eads0427–eads0427. 7 indexed citations
4.
Yang, Junjiao, Chan-I Chung, Jessica Koach, et al.. (2024). MYC phase separation selectively modulates the transcriptome. Nature Structural & Molecular Biology. 31(10). 1567–1579. 26 indexed citations
5.
Singh, Namrata, Komal Patel, Ambuja Navalkar, et al.. (2023). Amyloid fibril-based thixotropic hydrogels for modeling of tumor spheroids in vitro. Biomaterials. 295. 122032–122032. 17 indexed citations
6.
Poudyal, Manisha, Komal Patel, Laxmikant Gadhe, et al.. (2023). Intermolecular interactions underlie protein/peptide phase separation irrespective of sequence and structure at crowded milieu. Nature Communications. 14(1). 6199–6199. 81 indexed citations
7.
Navalkar, Ambuja, Arunima Sakunthala, Satyaprakash Pandey, et al.. (2022). Oncogenic gain of function due to p53 amyloids occurs through aberrant alteration of cell cycle and proliferation. Journal of Cell Science. 135(15). 13 indexed citations
8.
Sakunthala, Arunima, et al.. (2022). An efficient chemodosimeter for the detection of Hg(ii) via diselenide oxidation. Dalton Transactions. 51(6). 2269–2277. 8 indexed citations
9.
Kadu, Pradeep, Laxmikant Gadhe, Ambuja Navalkar, et al.. (2022). Charge and hydrophobicity of amyloidogenic protein/peptide templates regulate the growth and morphology of gold nanoparticles. Nanoscale. 14(40). 15021–15033. 4 indexed citations
10.
Mehra, Surabhi, Harish Kumar, Debalina Datta, et al.. (2022). α-Synuclein Aggregation Intermediates form Fibril Polymorphs with Distinct Prion-like Properties. Journal of Molecular Biology. 434(19). 167761–167761. 13 indexed citations
11.
Sakunthala, Arunima, Debalina Datta, Ambuja Navalkar, et al.. (2022). Direct Demonstration of Seed Size-Dependent α-Synuclein Amyloid Amplification. The Journal of Physical Chemistry Letters. 13(28). 6427–6438. 12 indexed citations
12.
Navalkar, Ambuja, Satyaprakash Pandey, Namrata Singh, et al.. (2021). Direct evidence of cellular transformation by prion-like p53 amyloid infection. Journal of Cell Science. 134(11). 19 indexed citations
13.
Sakunthala, Arunima, et al.. (2021). Organoselenium-based BOPHY as a sensor for detection of hypochlorous acid in mammalian cells. Analytica Chimica Acta. 1150. 338205–338205. 20 indexed citations
14.
Navalkar, Ambuja, et al.. (2020). Cyclic Organoselenide BODIPY-Based Probe: Targeting Superoxide in MCF-7 Cancer Cells. ACS Omega. 5(23). 14186–14193. 20 indexed citations
15.
Pravin, Narayanaperumal, Rakesh Kumar, Shalini Tripathi, et al.. (2020). Benzimidazole‐based fluorophores for the detection of amyloid fibrils with higher sensitivity than Thioflavin‐T. Journal of Neurochemistry. 156(6). 1003–1019. 13 indexed citations
16.
Navalkar, Ambuja, et al.. (2019). Biophysical characterization of p53 core domain aggregates. Biochemical Journal. 477(1). 111–120. 18 indexed citations
17.
Sharma, Himani, Ambuja Navalkar, Samir K. Maji, & Amit Agrawal. (2019). Analysis of drug–protein interaction in bio-inspired microwells. SN Applied Sciences. 1(8). 10 indexed citations
18.
Sharma, Himani, et al.. (2018). A magnet-actuated biomimetic device for isolating biological entities in microwells. Scientific Reports. 8(1). 12717–12717. 14 indexed citations
19.
Navalkar, Ambuja, et al.. (2018). Phenylselenyl containing turn-on dibodipy probe for selective detection of superoxide in mammalian breast cancer cell line. Sensors and Actuators B Chemical. 281. 8–13. 33 indexed citations
20.
Ghosh, Saikat, Shinjinee Sengupta, Ambuja Navalkar, et al.. (2017). p53 amyloid formation leading to its loss of function: implications in cancer pathogenesis. Cell Death and Differentiation. 24(10). 1784–1798. 103 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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