Fuchu He
Impact in
- Cancer Research top 0.5%
- Molecular Biology top 0.5%
- Ubiquitin and proteasome pathways
- RNA modifications and cancer
- Epigenetics and DNA Methylation
- Metabolomics and Mass Spectrometry Studies
Papers in
-
- Ubiquitin and proteasome pathways 47
- Bioinformatics and Genomic Networks 33
- Metabolomics and Mass Spectrometry Studies 31
- RNA modifications and cancer 25
- Machine Learning in Bioinformatics 24
- Spectroscopy 67
- Advanced Proteomics Techniques and Applications 67
- Co-authors
- Guichun XingLingqiang ZhangYunping ZhuHandong WeiDong LiGangqiao ZhouYing JiangZhongyang Liu
- Journals
- Journal of Proteome Research (32 papers)PROTEOMICS (26 papers)Molecular & Cellular Proteomics (12 papers)Journal of Biological Chemistry (11 papers)Biochemical and Biophysical Research Communications (11 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Fuchu He
377 papers receiving 12.6k citations
Hit Papers
Peers
Comparison fields: 5 of 170
- Cancer Research 1.8k
- Molecular Biology 8.0k
- Hepatology 898
- Immunology 1.7k
- Oncology 2.0k
Countries citing papers authored by Fuchu He
This map shows the geographic impact of Fuchu He'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 Fuchu He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fuchu He more than expected).
Fields of papers citing papers by Fuchu He
This network shows the impact of papers produced by Fuchu He. 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 Fuchu He. The network helps show where Fuchu He may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Fuchu He, 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 | 2024 | 0 | |
| 2 | 2024 | 4 | |
| 3 | 2024 | 10 | |
| 4 | 2023 | 1 | |
| 5 | 2023 | 7 | |
| 6 | 2023 | 22 | |
| 7 | 2022 | 2 | |
| 8 | 2022 | 18 | |
| 9 | 2021 | 22 | |
| 10 | iProX in 2021: connecting proteomics data sharing with big data Hit paper breakdown → | 2021 | 531 |
| 11 | 2021 | 35 | |
| 12 | 2021 | 3 | |
| 13 | 2020 | 53 | |
| 14 | 2019 | 12 | |
| 15 | 2018 | 23 | |
| 16 | 2018 | 49 | |
| 17 | 2017 | 33 | |
| 18 | 2014 | 24 | |
| 19 | 2012 | 20 | |
| 20 | 2011 | 4 |
About Fuchu He
Fuchu He is a scholar working on Molecular Biology, Spectroscopy, Hepatology, Cancer Research and Oncology, having authored 381 papers that have together received 12.7k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (67 papers), Ubiquitin and proteasome pathways (47 papers), Bioinformatics and Genomic Networks (33 papers), Metabolomics and Mass Spectrometry Studies (31 papers), Liver Disease Diagnosis and Treatment (28 papers), RNA modifications and cancer (25 papers), Machine Learning in Bioinformatics (24 papers) and Cancer-related Molecular Pathways (24 papers). The work is most often cited by research in Cancer Research (1.8k citations), Molecular Biology (8.0k citations), Hepatology (898 citations), Immunology (1.7k citations) and Oncology (2.0k citations). Fuchu He has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Guichun Xing, Lingqiang Zhang, Yunping Zhu, Handong Wei, Dong Li, Gangqiao Zhou, Ying Jiang, Zhongyang Liu, Songfeng Wu and Yun Zhai. Their work appears in journals such as Journal of Proteome Research, PROTEOMICS, Molecular & Cellular Proteomics, Journal of Biological Chemistry and Biochemical and Biophysical Research Communications.
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.