Eric T. Fung
- Molecular Biology top 2%
- Spectroscopy top 0.5%
- Cellular and Molecular Neuroscience top 2%
- Cancer Research top 2%
- Reproductive Medicine top 1%
- Co-authors
- Richard O’BrienPaul WorleyAnthony A. LanahanRichard L. HuganirDaniel W. ChanScot R. WeinbergerZhen ZhangLori J. Sokoll
- Topics
- Cancer Genomics and Diagnostics (18 papers)Advanced Proteomics Techniques and Applications (17 papers)Ovarian cancer diagnosis and treatment (16 papers)
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
Eric T. Fung
74 papers receiving 4.3k citations
Hit Papers
Peers
Comparison fields: 5 of 130
- Molecular Biology 2.6k
- Spectroscopy 1.2k
- Cellular and Molecular Neuroscience 893
- Cancer Research 794
- Reproductive Medicine 515
Countries citing papers authored by Eric T. Fung
This map shows the geographic impact of Eric T. Fung'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 Eric T. Fung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric T. Fung more than expected).
Fields of papers citing papers by Eric T. Fung
This network shows the impact of papers produced by Eric T. Fung. 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 Eric T. Fung. The network helps show where Eric T. Fung may publish in the future.
Co-authorship network of co-authors of Eric T. Fung
This figure shows the co-authorship network connecting the top 25 collaborators of Eric T. Fung. A scholar is included among the top collaborators of Eric T. Fung 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 Eric T. Fung. Eric T. Fung is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | Blood-based tests for multicancer early detection (PATHFINDER): a prospective cohort studybreakdown → | 168 |
| 4 | 79 | |
| 5 | 76 | |
| 6 | 12 | |
| 7 | Mild Traumatic Brain Injury in Children and Adolescents: From Basic Science to Clinical Management | 8 |
| 8 | 15 | |
| 9 | 31 | |
| 10 | 3 | |
| 11 | 69 | |
| 12 | 18 | |
| 13 | 26 | |
| 14 | 148 | |
| 15 | 8 | |
| 16 | 6 | |
| 17 | Protein identification and immunoassay evaluation of a panel of biomarkers discovered through proteomic profiling for the detection of ovarian cancer | 0 |
| 18 | 18 | |
| 19 | 6 | |
| 20 | 184 |
About Eric T. Fung
Eric T. Fung is a scholar working on Cancer Research, Reproductive Medicine and Spectroscopy, having authored 77 papers that have together received 4.5k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (18 papers), Advanced Proteomics Techniques and Applications (17 papers) and Ovarian cancer diagnosis and treatment (16 papers). The work is most often cited by research in Spectroscopy (1.2k citations), Reproductive Medicine (515 citations) and Cancer Research (794 citations). Eric T. Fung has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Richard O’Brien, Paul Worley, Anthony A. Lanahan, Richard L. Huganir, Daniel W. Chan, Richard L. Huganir, Scot R. Weinberger, Zhen Zhang, Lori J. Sokoll and Jason M. Rosenzweig. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and The Lancet.
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.