Robert V. Swanda
Impact in
- Cancer Research top 5%
- Cancer, Lipids, and Metabolism
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- Ferroptosis and cancer prognosis
Papers in
-
- RNA and protein synthesis mechanisms 2
- RNA modifications and cancer 2
- Epigenetics and DNA Methylation 2
- RNA Research and Splicing 2
- Oncology 3
- Metal complexes synthesis and properties 3
- Drug Transport and Resistance Mechanisms 2
- Co-authors
- Shu‐Bing Qian (7 shared papers)Hyemin Lee (1 shared paper)Guang Lei (1 shared paper)Chao Mao (1 shared paper)Jie Zhang (1 shared paper)Zhenna Xiao (1 shared paper)Bingliang Fang (1 shared paper)Yilei Zhang (1 shared paper)
- Journals
- Chemosphere (1 paper)Scientific Reports (1 paper)Environmental Science & Technology (1 paper)Nature Communications (1 paper)Molecular Cell (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
Robert V. Swanda
9 papers receiving 768 citations
Robert V. Swanda's Hit Papers
Peers
Comparison fields: 5 of 82
- Cancer Research 331
- Pulmonary and Respiratory Medicine 427
- Molecular Biology 450
- Oncology 121
- Biochemistry 29
Countries citing papers authored by Robert V. Swanda
This map shows the geographic impact of Robert V. Swanda'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 Robert V. Swanda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert V. Swanda more than expected).
Fields of papers citing papers by Robert V. Swanda
This network shows the impact of papers produced by Robert V. Swanda. 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 Robert V. Swanda. The network helps show where Robert V. Swanda may publish in the future.
Co-authors
The 25 scholars most cited alongside Robert V. Swanda, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | mTORC1 couples cyst(e)ine availability with GPX4 protein synthesis and ferroptosis regulation Hit paper breakdown → | 2021 | 533 |
| 2 | 2019 | 55 | |
| 3 | 2018 | 44 | |
| 4 | 2023 | 38 | |
| 5 | 2020 | 38 | |
| 6 | 2020 | 24 | |
| 7 | 2020 | 19 | |
| 8 | 2019 | 16 | |
| 9 | 2020 | 4 |
About Robert V. Swanda
Robert V. Swanda is a scholar working on Molecular Biology, Oncology, Nutrition and Dietetics, Pulmonary and Respiratory Medicine and Organic Chemistry, having authored 9 papers that have together received 771 indexed citations. Recurring topics across this work include Trace Elements in Health (3 papers), Metal complexes synthesis and properties (3 papers), RNA and protein synthesis mechanisms (2 papers), RNA modifications and cancer (2 papers), Ferroptosis and cancer prognosis (2 papers), Epigenetics and DNA Methylation (2 papers), RNA Research and Splicing (2 papers) and Drug Transport and Resistance Mechanisms (2 papers). The work is most often cited by research in Cancer Research (331 citations), Pulmonary and Respiratory Medicine (427 citations), Molecular Biology (450 citations), Oncology (121 citations) and Biochemistry (29 citations). Robert V. Swanda has collaborated with scholars based in United States and China. Frequent co-authors include Shu‐Bing Qian, Hyemin Lee, Guang Lei, Chao Mao, Jie Zhang, Zhenna Xiao, Bingliang Fang, Yilei Zhang, Litong Nie and Xiaoguang Liu. Their work appears in journals such as Chemosphere, Scientific Reports, Environmental Science & Technology, Nature Communications and Molecular Cell.
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.