Aishwarya Kulkarni

1.1k total citations
24 papers, 716 citations indexed

About

Aishwarya Kulkarni is a scholar working on Molecular Biology, Cell Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Aishwarya Kulkarni has authored 24 papers receiving a total of 716 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Cell Biology and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Aishwarya Kulkarni's work include Hippo pathway signaling and YAP/TAZ (4 papers), Acute Myeloid Leukemia Research (3 papers) and RNA Research and Splicing (3 papers). Aishwarya Kulkarni is often cited by papers focused on Hippo pathway signaling and YAP/TAZ (4 papers), Acute Myeloid Leukemia Research (3 papers) and RNA Research and Splicing (3 papers). Aishwarya Kulkarni collaborates with scholars based in United States, India and Australia. Aishwarya Kulkarni's co-authors include Kieran F. Harvey, Harshini Dasari, Joseph H.A. Vissers, Mark H. Kaplan, Robert S. Tepper, Rukhsana Jabeen, Ritobrata Goswami, Chang H. Kim, Jie Sun and Daniel J. Walsh and has published in prestigious journals such as Journal of Clinical Investigation, Nature Communications and Journal of Neuroscience.

In The Last Decade

Aishwarya Kulkarni

23 papers receiving 712 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aishwarya Kulkarni United States 12 272 258 120 109 93 24 716
Masaaki Fujita Japan 15 352 1.3× 121 0.5× 134 1.1× 43 0.4× 128 1.4× 38 640
Liqiong Liu China 14 397 1.5× 93 0.4× 193 1.6× 79 0.7× 36 0.4× 46 783
Thusanth Thuraisingam Canada 14 202 0.7× 209 0.8× 92 0.8× 66 0.6× 43 0.5× 25 698
Petra E. Bürgisser Netherlands 13 231 0.8× 76 0.3× 65 0.5× 52 0.5× 69 0.7× 24 610
Hai Hu United States 7 208 0.8× 125 0.5× 115 1.0× 120 1.1× 194 2.1× 9 564
Qi Cai United States 17 605 2.2× 462 1.8× 352 2.9× 96 0.9× 40 0.4× 32 1.3k
Louis H. Bookbinder United States 7 253 0.9× 74 0.3× 176 1.5× 47 0.4× 207 2.2× 7 641
Vanessa Zaiatz-Bittencourt Ireland 9 240 0.9× 687 2.7× 230 1.9× 53 0.5× 70 0.8× 10 1.1k
Tian Tian China 15 291 1.1× 120 0.5× 172 1.4× 21 0.2× 38 0.4× 60 771

Countries citing papers authored by Aishwarya Kulkarni

Since Specialization
Citations

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

Fields of papers citing papers by Aishwarya Kulkarni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aishwarya Kulkarni

This figure shows the co-authorship network connecting the top 25 collaborators of Aishwarya Kulkarni. A scholar is included among the top collaborators of Aishwarya Kulkarni 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 Aishwarya Kulkarni. Aishwarya Kulkarni 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.
Kulkarni, Aishwarya, Leonard Post, Yih-Chih Chan, et al.. (2024). Identification of resistance mechanisms to small-molecule inhibition of TEAD-regulated transcription. EMBO Reports. 25(9). 3944–3969. 5 indexed citations
2.
Ahmedani, Brian K., et al.. (2024). Health-related social needs screening, reporting, and assistance in a large health system. Preventive Medicine. 190. 108182–108182. 2 indexed citations
3.
Dossat, Amanda M., et al.. (2023). Glucagon-Like Peptide-1 Receptors in the Gustatory Cortex Influence Food Intake. Journal of Neuroscience. 43(23). 4251–4261. 1 indexed citations
4.
Kulkarni, Aishwarya, Matthew R. Burns, Patrik Brundin, & Daniel W. Wesson. (2022). Linking α-synuclein-induced synaptopathy and neural network dysfunction in early Parkinson’s disease. Brain Communications. 4(4). fcac165–fcac165. 29 indexed citations
5.
More, Harinath N., et al.. (2021). Self-emulsifying drug delivery systems: An overview. 3(1). 5–8. 6 indexed citations
6.
Kulkarni, Aishwarya, et al.. (2021). Automated System for Detection of Suspicious Activity in Examination Hall. 1–5. 2 indexed citations
7.
Zhang, Xiaomeng, Youfang Zhang, Aishwarya Kulkarni, et al.. (2020). The Hippo pathway oncoprotein YAP promotes melanoma cell invasion and spontaneous metastasis. Oncogene. 39(30). 5267–5281. 61 indexed citations
8.
Tiwari, Santosh K., Asma Sultana, Abjal Pasha Shaik, et al.. (2020). Efficacy and safety of neural stem cell therapy for spinal cord injury: A systematic literature review. Therapies. 76(3). 201–210. 3 indexed citations
9.
Giannetti, Vincent J., et al.. (2020). Patient Satisfaction with Substance Use Disorder Rehabilitation Services: a Qualitative Study. The Journal of Behavioral Health Services & Research. 48(2). 213–239. 2 indexed citations
10.
Clark, Jason, Mark Wunderlich, Aishwarya Kulkarni, et al.. (2020). MBNL1 regulates essential alternative RNA splicing patterns in MLL-rearranged leukemia. Nature Communications. 11(1). 2369–2369. 35 indexed citations
11.
Kulkarni, Aishwarya, Matthew T. Chang, Joseph H.A. Vissers, Anwesha Dey, & Kieran F. Harvey. (2020). The Hippo Pathway as a Driver of Select Human Cancers. Trends in cancer. 6(9). 781–796. 50 indexed citations
12.
Kulkarni, Aishwarya, et al.. (2019). Comparison of dermatoglyphic patterns in oral leukoplakia and oral submucous fibrosis patients. International Journal of Research in Medical Sciences. 8(1). 153–153. 2 indexed citations
13.
Smith, Molly A., Gaurav S. Choudhary, Andrea Pellagatti, et al.. (2019). U2AF1 mutations induce oncogenic IRAK4 isoforms and activate innate immune pathways in myeloid malignancies. Nature Cell Biology. 21(5). 640–650. 155 indexed citations
14.
Kulkarni, Aishwarya, et al.. (2019). Breast Cancer Incidence and Mortality by Molecular Subtype: Statewide Age and Racial/Ethnic Disparities in New Jersey.. PubMed. 3. e1–e17. 21 indexed citations
15.
Venkatasubramanian, Meenakshi, Xiaoting Chen, Kashish Chetal, et al.. (2018). A Prognostic Human Splicing Signature That Precurses Leukemia. Blood. 132(Supplement 1). 877–877. 2 indexed citations
16.
Peterson, Charlotte A., et al.. (2018). METFORMIN TO AUGMENT STRENGTH TRAINING EFFECTIVE RESPONSE IN SENIORS: THE MASTERS TRIAL. Innovation in Aging. 2(suppl_1). 544–545. 2 indexed citations
17.
Kulkarni, Aishwarya & Harshini Dasari. (2018). Current Status of Methods Used In Degradation of Polymers: A Review. SHILAP Revista de lepidopterología. 144. 2023–2023. 9 indexed citations
18.
Vissers, Joseph H.A., Samuel A. Manning, Aishwarya Kulkarni, & Kieran F. Harvey. (2016). A Drosophila RNAi library modulates Hippo pathway-dependent tissue growth. Nature Communications. 7(1). 10368–10368. 45 indexed citations
19.
Riley, Jonathan, Aishwarya Kulkarni, Purvi Mehrotra, et al.. (2013). PARP-14 Binds Specific DNA Sequences to Promote Th2 Cell Gene Expression. PLoS ONE. 8(12). e83127–e83127. 28 indexed citations
20.
Jabeen, Rukhsana, Ritobrata Goswami, Aishwarya Kulkarni, et al.. (2013). Th9 cell development requires a BATF-regulated transcriptional network. Journal of Clinical Investigation. 123(11). 4641–4653. 184 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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