Misha Mao

1.2k citations
21 papers · 768 indexed · 1 hit paper · h-index 14

Impact in

Papers in

Misha Mao

20 papers receiving 767 citations

Hit Papers

Metformin induces Ferroptosis by inhibiting UFMylation of SLC7A11 in breast cancer 2021 · 270 citations
270202120262022202450100150200250

Peers

Misha Mao
Comparison fields: 5 of 78
  • Cancer Research 373
  • Pulmonary and Respiratory Medicine 399
  • Molecular Biology 511
  • Oncology 111
  • Immunology 69
Replace Yadong Sun with:
Yadong Sun China
Yu Gan China
Lisi Zheng China
Hao Feng China
Fu-Ju Chou United States
Wenyan Ren China
Yunyi Bian China
Qiangan Jing China
Libin Sun China
Vijesh Kumar Yadav Taiwan
Misha Mao relative to Yadong Sun China Yadong Sun's profile →
Citations per field
00.5×
Yadong Sun · 1×
Citations per year

Countries citing papers authored by Misha Mao

Since Specialization
Citations

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

Fields of papers citing papers by Misha Mao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Misha Mao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Misha Mao Line = papers co-authored together Misha Mao links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20237
2 20230
3 202311
4 20234
5 202317
6 20231
7 202224
8 202225
9 202244
10 202228
11 202120
12 202114
13
Metformin induces Ferroptosis by inhibiting UFMylation of SLC7A11 in breast cancer
Hit paper breakdown →
2021270
14 202113
15 20213
16 202120
17 2020150
18 201931
19 201825
20 20186

About Misha Mao

Misha Mao is a scholar working on Cancer Research, Molecular Medicine, Molecular Biology, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine, having authored 21 papers that have together received 768 indexed citations. Recurring topics across this work include Ferroptosis and cancer prognosis (5 papers), Kruppel-like factors research (5 papers), RNA modifications and cancer (4 papers), Wnt/β-catenin signaling in development and cancer (4 papers), Cancer, Lipids, and Metabolism (3 papers), Immunotherapy and Immune Responses (3 papers), Cancer-related gene regulation (3 papers) and Epigenetics and DNA Methylation (2 papers). The work is most often cited by research in Cancer Research (373 citations), Pulmonary and Respiratory Medicine (399 citations), Molecular Biology (511 citations), Oncology (111 citations) and Immunology (69 citations). Misha Mao has collaborated with scholars based in China, France and Italy. Frequent co-authors include Yongxia Chen, Linbo Wang, Jichun Zhou, Xun Zhang, Zhaoqing Li, Yulu Zhou, Jingjing Yang, Lini Chen, Cong Chen and Aihua Huang. Their work appears in journals such as Biomarker Research, Cell Death and Disease, Frontiers in Cell and Developmental Biology, Journal for ImmunoTherapy of Cancer and Journal of Cellular and Molecular Medicine.

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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