Aditi Chatterjee

8.6k total citations
131 papers, 3.5k citations indexed

About

Aditi Chatterjee is a scholar working on Molecular Biology, Cancer Research and Electrical and Electronic Engineering. According to data from OpenAlex, Aditi Chatterjee has authored 131 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Molecular Biology, 31 papers in Cancer Research and 29 papers in Electrical and Electronic Engineering. Recurrent topics in Aditi Chatterjee's work include Multilevel Inverters and Converters (21 papers), RNA modifications and cancer (18 papers) and Advanced DC-DC Converters (15 papers). Aditi Chatterjee is often cited by papers focused on Multilevel Inverters and Converters (21 papers), RNA modifications and cancer (18 papers) and Advanced DC-DC Converters (15 papers). Aditi Chatterjee collaborates with scholars based in India, United States and Saudi Arabia. Aditi Chatterjee's co-authors include David Sidransky, Elizabeth Mambo, Harsha Gowda, Kanungo Barada Mohanty, Thottethodi Subrahmanya Keshava Prasad, Santanu Dasgupta, Akhilesh Pandey, Xiaofei Chang, Saraswati Sukumar and Mingzhao Xing and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Renewable and Sustainable Energy Reviews.

In The Last Decade

Aditi Chatterjee

126 papers receiving 3.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aditi Chatterjee India 30 2.3k 940 598 367 324 131 3.5k
Hongrui Wang China 29 2.8k 1.2× 592 0.6× 848 1.4× 178 0.5× 169 0.5× 148 4.6k
Ailing Li China 30 2.1k 0.9× 797 0.8× 275 0.5× 136 0.4× 172 0.5× 133 3.3k
Jingnan Wang China 28 1.1k 0.5× 709 0.8× 605 1.0× 307 0.8× 224 0.7× 128 2.6k
Lína Zhang China 33 2.4k 1.0× 1.5k 1.6× 616 1.0× 366 1.0× 234 0.7× 210 3.9k
Yi Pan China 33 1.9k 0.8× 1.2k 1.3× 623 1.0× 570 1.6× 391 1.2× 134 3.4k
Bo Li China 32 1.6k 0.7× 903 1.0× 685 1.1× 332 0.9× 330 1.0× 184 3.3k
Pengyuan Yang China 35 3.4k 1.5× 1.7k 1.8× 816 1.4× 247 0.7× 291 0.9× 113 5.4k
Liang Ming China 28 2.4k 1.0× 1.6k 1.6× 287 0.5× 184 0.5× 141 0.4× 99 3.1k

Countries citing papers authored by Aditi Chatterjee

Since Specialization
Citations

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

Fields of papers citing papers by Aditi Chatterjee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aditi Chatterjee

This figure shows the co-authorship network connecting the top 25 collaborators of Aditi Chatterjee. A scholar is included among the top collaborators of Aditi Chatterjee 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 Aditi Chatterjee. Aditi Chatterjee 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.
Patel, Krishna, Ashish Aggarwal, Tulika Gupta, et al.. (2024). Molecular Basis of Cerebral Vasospasm: What Can We Learn from Transcriptome and Temporal Gene Expression Profiling in Intracranial Aneurysm?. OMICS A Journal of Integrative Biology. 28(5). 234–245. 1 indexed citations
2.
Khan, Aafaque Ahmad, Roshan Verma, Jaimanti Bakshi, et al.. (2024). A proteomic analysis identifies higher AHSG (Alpha-2-HS-glycoprotein) in saliva of oropharyngeal cancer patients – A potential salivary biomarker. SHILAP Revista de lepidopterología. 10. 100478–100478. 2 indexed citations
3.
Chatterjee, Aditi, et al.. (2024). Power Management of Novel DC-DC Converter for Microgrids. 327–332. 1 indexed citations
4.
Mohanty, Kanungo Barada, et al.. (2023). Modelling and design of new multilevel inverter for renewable energy systems with less number of unidirectional switches. 4. 100094–100094. 4 indexed citations
5.
Mangalaparthi, Kiran K., Krishna Patel, Aafaque Ahmad Khan, et al.. (2023). Molecular Characterization of Esophageal Squamous Cell Carcinoma Using Quantitative Proteomics. Cancers. 15(13). 3302–3302. 5 indexed citations
6.
Mohanty, Kanungo Barada, et al.. (2022). Modified cascaded multilevel inverter for renewable energy systems with less number of unidirectional switches. Energy Reports. 8. 5296–5304. 16 indexed citations
7.
Chatterjee, Aditi, et al.. (2022). A Comparative Analysis of Multiport DC-DC Converters in Microgrid using Small-Signal Modelling. 1–6. 1 indexed citations
8.
Babu, Niraj, Shankargouda Patil, Tejaswini Subbannayya, et al.. (2020). Signaling alterations in oral keratinocytes in response to shisha and crude tobacco extract. Journal of Oral Pathology and Medicine. 50(5). 459–469. 2 indexed citations
9.
Najar, Mohd Altaf, Rex Devasahayam Arokia Balaya, Prashant Kumar Modi, et al.. (2020). A complete map of the Calcium/calmodulin-dependent protein kinase kinase 2 (CAMKK2) signaling pathway. Journal of Cell Communication and Signaling. 15(2). 283–290. 33 indexed citations
10.
Mohanty, Kanungo Barada, et al.. (2019). A modified circuit for symmetric and asymmetric multilevel inverter with reduced components count. International Transactions on Electrical Energy Systems. 29(6). 24 indexed citations
11.
Patil, Shankargouda, Krishna Patel, Jayshree Advani, et al.. (2019). Multiomic analysis of oral keratinocytes chronically exposed to shisha. Journal of Oral Pathology and Medicine. 48(4). 284–289. 9 indexed citations
12.
Bhat, Firdous Ahmad, Jayshree Advani, Aafaque Ahmad Khan, et al.. (2018). A network map of thrombopoietin signaling. Journal of Cell Communication and Signaling. 12(4). 737–743. 17 indexed citations
13.
Nanjappa, Vishalakshi, Santosh Renuse, Gajanan Sathe, et al.. (2015). Chronic exposure to chewing tobacco selects for overexpression of stearoyl-CoA desaturase in normal oral keratinocytes. Cancer Biology & Therapy. 16(11). 1593–1603. 28 indexed citations
14.
Chang, Xiaofei, Eugene Izumchenko, Luisa M. Solis, et al.. (2013). The Relative Expression of Mig6 and EGFR Is Associated with Resistance to EGFR Kinase Inhibitors. PLoS ONE. 8(7). e68966–e68966. 25 indexed citations
15.
Kachhap, Sushant K., Venkateshwar G. Keshamouni, David Z. Qian, & Aditi Chatterjee. (2011). Cigarette Smoke and Cancer. Journal of Oncology. 2011. 1–2. 2 indexed citations
16.
Maldonado, Leonel, Mariana Brait, Shahnaz Begum, et al.. (2010). GULP1, a potential tumor suppressor gene in ovarian tumors and its utility as a biomarker. Ghent University Academic Bibliography (Ghent University). 2 indexed citations
17.
Chatterjee, Aditi, Tanusree Sen, Xiaofei Chang, & David Sidransky. (2010). Yes-associated protein 1 regulates the stability of ΔNp63α. Cell Cycle. 9(1). 162–167. 16 indexed citations
18.
Chatterjee, Aditi, Sunil Upadhyay, Xiaofei Chang, et al.. (2008). U-box-type ubiquitin E4 ligase, UFD2a attenuates cisplatin mediated degradation of ΔNp63α. Cell Cycle. 7(9). 1231–1237. 34 indexed citations
19.
20.
Kim, Michael M., Chad A. Glazer, Elizabeth Mambo, et al.. (2005). Head and neck cancer cell lines exhibit differential mitochondrial repair deficiency in response to 4NQO. Oral Oncology. 42(2). 201–207. 25 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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