Asmita Bhattacharya

805 total citations
12 papers, 342 citations indexed

About

Asmita Bhattacharya is a scholar working on Molecular Biology, Surgery and Cell Biology. According to data from OpenAlex, Asmita Bhattacharya has authored 12 papers receiving a total of 342 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Surgery and 4 papers in Cell Biology. Recurrent topics in Asmita Bhattacharya's work include Endoplasmic Reticulum Stress and Disease (4 papers), Pancreatic function and diabetes (3 papers) and Cancer Cells and Metastasis (2 papers). Asmita Bhattacharya is often cited by papers focused on Endoplasmic Reticulum Stress and Disease (4 papers), Pancreatic function and diabetes (3 papers) and Cancer Cells and Metastasis (2 papers). Asmita Bhattacharya collaborates with scholars based in United States, China and Singapore. Asmita Bhattacharya's co-authors include Ling Qi, Hana Kim, Sander Kersten, Kezhong Zhang, Shengyi Sun, Lei Yin, Qiaoming Long, Ming Liu, Jian Sun and Shuibing Chen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and The EMBO Journal.

In The Last Decade

Asmita Bhattacharya

10 papers receiving 341 citations

Peers

Asmita Bhattacharya
Sima Asfa United States
A. Mulot France
Foued Ghanjati Germany
Yutian Chen China
Weiwei Yi China
Hirosumi Tamura Japan
Paola Giglio Italy
Dwayne G. Stupack United States
Mukul Girotra Switzerland
Carola Maria Morell United States
Sima Asfa United States
Asmita Bhattacharya
Citations per year, relative to Asmita Bhattacharya Asmita Bhattacharya (= 1×) peers Sima Asfa

Countries citing papers authored by Asmita Bhattacharya

Since Specialization
Citations

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

Fields of papers citing papers by Asmita Bhattacharya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Asmita Bhattacharya

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

All Works

12 of 12 papers shown
1.
Zhang, Weiruo, Irene Li, Asmita Bhattacharya, et al.. (2025). A quantitative spatial cell-cell colocalizations framework enabling comparisons between in vitro assembloids and pathological specimens. Nature Communications. 16(1). 1392–1392. 4 indexed citations
2.
3.
Kuo, Calvin J., et al.. (2024). Design and Evaluation of a Robust CRISPR Kinetic Assay for Hot-Spot Genotyping. Analytical Chemistry. 96(19). 7444–7451. 3 indexed citations
4.
Bhattacharya, Asmita, Zhenfeng Song, Xiaoqiong Wei, et al.. (2023). Hepatic SEL1L-HRD1 ER-associated degradation regulates systemic iron homeostasis via ceruloplasmin. Proceedings of the National Academy of Sciences. 120(2). e2212644120–e2212644120. 15 indexed citations
5.
Bhattacharya, Asmita, Juncheng Wei, Wenxin Song, et al.. (2022). SEL1L-HRD1 ER-associated degradation suppresses hepatocyte hyperproliferation and liver cancer. iScience. 25(10). 105183–105183. 15 indexed citations
6.
Bhattacharya, Asmita & Ling Qi. (2019). ER-associated degradation in health and disease – from substrate to organism. Journal of Cell Science. 132(23). 78 indexed citations
7.
Bhattacharya, Asmita, Shengyi Sun, Ming Liu, et al.. (2018). Hepatic Sel1L‐Hrd1 ER‐associated degradation (ERAD) manages FGF21 levels and systemic metabolism via CREBH. The EMBO Journal. 37(22). 65 indexed citations
8.
Bhattacharya, Asmita, et al.. (2018). The metabolic landscape browser: a novel tool for understanding pan-cancer metabolic processes through variance in gene expression data. Data Archiving and Networked Services (DANS). 103.
9.
Oteng, Antwi‐Boasiako, Asmita Bhattacharya, Susanne Brodesser, et al.. (2017). Feeding Angptl4−/− mice trans fat promotes foam cell formation in mesenteric lymph nodes without leading to ascites. Journal of Lipid Research. 58(6). 1100–1113. 26 indexed citations
10.
Chen, Huanhuan Joyce, Zhubo Wei, Jian Sun, et al.. (2016). A recellularized human colon model identifies cancer driver genes. Nature Biotechnology. 34(8). 845–851. 76 indexed citations
11.
Gillen, Daniel L., Frank L. Meyskens, Timothy R. Morgan, et al.. (2015). A Phase IIa Randomized, Double-Blind Trial of Erlotinib in Inhibiting Epidermal Growth Factor Receptor Signaling in Aberrant Crypt Foci of the Colorectum. Cancer Prevention Research. 8(3). 222–230. 2 indexed citations
12.
Kim, Hana, Asmita Bhattacharya, & Ling Qi. (2015). Endoplasmic reticulum quality control in cancer: Friend or foe. Seminars in Cancer Biology. 33. 25–33. 58 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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