Anjali Mittal

601 total citations
9 papers, 374 citations indexed

About

Anjali Mittal is a scholar working on Molecular Biology, Surgery and Pathology and Forensic Medicine. According to data from OpenAlex, Anjali Mittal has authored 9 papers receiving a total of 374 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Surgery and 3 papers in Pathology and Forensic Medicine. Recurrent topics in Anjali Mittal's work include Cancer Mechanisms and Therapy (3 papers), Multiple Myeloma Research and Treatments (3 papers) and Pancreatic and Hepatic Oncology Research (2 papers). Anjali Mittal is often cited by papers focused on Cancer Mechanisms and Therapy (3 papers), Multiple Myeloma Research and Treatments (3 papers) and Pancreatic and Hepatic Oncology Research (2 papers). Anjali Mittal collaborates with scholars based in United States, India and South Africa. Anjali Mittal's co-authors include Deepak Nagrath, Abhinav Achreja, Theodore S. Lawrence, Ziwen Zhu, Noah Meurs, Inderbir Singh, Ameya Sharma, Vivek Puri, Pradeep Kumar and Sarah Owen and has published in prestigious journals such as Nature Communications, Blood and Cell Metabolism.

In The Last Decade

Anjali Mittal

7 papers receiving 371 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anjali Mittal United States 6 202 125 84 49 46 9 374
Jiasi Zhang China 11 256 1.3× 142 1.1× 59 0.7× 53 1.1× 35 0.8× 26 476
Xiaohong Du China 12 237 1.2× 166 1.3× 58 0.7× 36 0.7× 48 1.0× 19 374
Yunzhen Gao China 12 206 1.0× 91 0.7× 68 0.8× 32 0.7× 44 1.0× 18 436
Durga Attili United States 11 199 1.0× 111 0.9× 111 1.3× 20 0.4× 37 0.8× 16 436
Jakub Kryczka Poland 13 192 1.0× 104 0.8× 97 1.2× 21 0.4× 34 0.7× 23 381
Keting Que China 7 206 1.0× 131 1.0× 48 0.6× 35 0.7× 16 0.3× 9 413
Sandra Parenti Italy 14 228 1.1× 67 0.5× 75 0.9× 18 0.4× 44 1.0× 27 430
Aihua Sui China 14 310 1.5× 171 1.4× 87 1.0× 29 0.6× 34 0.7× 38 491
Yan Qi China 11 173 0.9× 33 0.3× 62 0.7× 57 1.2× 28 0.6× 26 361

Countries citing papers authored by Anjali Mittal

Since Specialization
Citations

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

Fields of papers citing papers by Anjali Mittal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anjali Mittal

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

All Works

9 of 9 papers shown
1.
Sharma, Swati, et al.. (2024). Shining Light on Rarity: Mucoepidermoid Carcinoma of the Esophagus with Absence of MAML2 Gene Rearrangement. Indian Journal of Surgical Oncology. 15(S3). 374–378.
2.
Nair, Remya, Abhinav Achreja, Anjali Mittal, et al.. (2022). Therapeutic implications of mitochondrial stress–induced proteasome inhibitor resistance in multiple myeloma. Science Advances. 8(39). eabq5575–eabq5575. 12 indexed citations
3.
Mittal, Anjali, et al.. (2022). Radiotherapy-induced metabolic hallmarks in the tumor microenvironment. Trends in cancer. 8(10). 855–869. 34 indexed citations
4.
Achreja, Abhinav, Remya Nair, Pulkit Gupta, et al.. (2021). Mitochondrial Electron Transport Chain Inhibition Promotes Resistance to Proteasome Inhibitors in Multiple Myeloma. Blood. 138(Supplement 1). 1611–1611.
5.
Sharma, Ameya, Anjali Mittal, Vivek Puri, Pradeep Kumar, & Inderbir Singh. (2020). Curcumin-loaded, alginate–gelatin composite fibers for wound healing applications. 3 Biotech. 10(11). 464–464. 38 indexed citations
6.
Bajpai, Richa, Aditi Sharma, Abhinav Achreja, et al.. (2020). Electron transport chain activity is a predictor and target for venetoclax sensitivity in multiple myeloma. Nature Communications. 11(1). 1228–1228. 76 indexed citations
7.
Zhu, Ziwen, Abhinav Achreja, Noah Meurs, et al.. (2020). Tumour-reprogrammed stromal BCAT1 fuels branched-chain ketoacid dependency in stromal-rich PDAC tumours. Nature Metabolism. 2(8). 775–792. 136 indexed citations
8.
l’Hortet, Alexandra Collin de, Kazuki Takeishi, Jorge Guzman‐Lepe, et al.. (2019). Generation of Human Fatty Livers Using Custom-Engineered Induced Pluripotent Stem Cells with Modifiable SIRT1 Metabolism. Cell Metabolism. 30(2). 385–401.e9. 73 indexed citations
9.
Jaiswal, Damini, Anjali Mittal, Deepak Nagrath, & Pramod P. Wangikar. (2019). Liquid Chromatography Methods for Separation of Polar and Charged Intracellular Metabolites for 13C Metabolic Flux Analysis. Methods in molecular biology. 2088. 33–50. 5 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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