Yiting Geng
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Oncology top 5%
- Inflammatory Biomarkers in Disease Prognosis
- Cancer Immunotherapy and Biomarkers
Papers in
- Oncology 10
- Inflammatory Biomarkers in Disease Prognosis 3
- Peptidase Inhibition and Analysis 3
- Cancer Immunotherapy and Biomarkers 2
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- Circular RNAs in diseases 5
- Co-authors
- Jingting Jiang (12 shared papers)Changping Wu (2 shared papers)Changping Wu (3 shared papers)Changping Wu (6 shared papers)Danxia Zhu (5 shared papers)Xiao Zheng (3 shared papers)Qi Wang (4 shared papers)Yanjie Xu (4 shared papers)
In The Last Decade
Yiting Geng
31 papers receiving 1.5k citations
Yiting Geng's Hit Papers
Peers
Comparison fields: 5 of 82
- Cancer Research 414
- Oncology 560
- Immunology 160
- Molecular Biology 534
- Pulmonary and Respiratory Medicine 216
Countries citing papers authored by Yiting Geng
This map shows the geographic impact of Yiting Geng'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 Yiting Geng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yiting Geng more than expected).
Fields of papers citing papers by Yiting Geng
This network shows the impact of papers produced by Yiting Geng. 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 Yiting Geng. The network helps show where Yiting Geng may publish in the future.
Co-authors
The 25 scholars most cited alongside Yiting Geng, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 207 | |
| 2 | 2015 | 200 | |
| 3 | 2016 | 190 | |
| 4 | N‐acetyltransferase 10 promotes colon cancer progression by inhibiting ferroptosis through N4‐acetylation and stabilization of ferroptosis suppressor protein 1 (FSP1) mRNA Hit paper breakdown → | 2022 | 133 |
| 5 | 2018 | 131 | |
| 6 | 2014 | 110 | |
| 7 | 2019 | 96 | |
| 8 | 2016 | 56 | |
| 9 | 2015 | 43 | |
| 10 | 2022 | 26 | |
| 11 | 2014 | 24 | |
| 12 | 2015 | 23 | |
| 13 | 2012 | 23 | |
| 14 | 2011 | 23 | |
| 15 | 2017 | 21 | |
| 16 | 2013 | 20 | |
| 17 | 2022 | 19 | |
| 18 | 2011 | 19 | |
| 19 | 2021 | 18 | |
| 20 | 2024 | 17 |
About Yiting Geng
Yiting Geng is a scholar working on Oncology, Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine and Surgery, having authored 32 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (6 papers), Circular RNAs in diseases (5 papers), MicroRNA in disease regulation (5 papers), Lung Cancer Treatments and Mutations (4 papers), Esophageal Cancer Research and Treatment (3 papers), Inflammatory Biomarkers in Disease Prognosis (3 papers), Peptidase Inhibition and Analysis (3 papers) and Cancer Immunotherapy and Biomarkers (2 papers). The work is most often cited by research in Cancer Research (414 citations), Oncology (560 citations), Immunology (160 citations), Molecular Biology (534 citations) and Pulmonary and Respiratory Medicine (216 citations). Yiting Geng has collaborated with scholars based in China and Taiwan. Frequent co-authors include Jingting Jiang, Changping Wu, Changping Wu, Changping Wu, Danxia Zhu, Xiao Zheng, Qi Wang, Yanjie Xu, Wenting He and Yingjie Shao. Their work appears in journals such as Biomedicine & Pharmacotherapy, International Journal of Clinical Oncology, Cellular Physiology and Biochemistry, APOPTOSIS and Scientific Reports.
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.