Fred Hess
Impact in
- Genetics top 5%
- Coagulation, Bradykinin, Polyphosphates, and Angioedema
- Molecular Biology top 10%
- Wnt/β-catenin signaling in development and cancer
- Cancer-related gene regulation
- Developmental Biology and Gene Regulation
- Epigenetics and DNA Methylation
- Kruppel-like factors research
- Glycosylation and Glycoproteins Research
Papers in ⓘ
- Genetics 6
- Coagulation, Bradykinin, Polyphosphates, and Angioedema 6
- Connective tissue disorders research 1
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- Alzheimer's disease research and treatments 1
- Pain Mechanisms and Treatments 1
- Co-authors
- Keiko Tamai (1 shared paper)Xi He (1 shared paper)Mikhail A. Semenov (1 shared paper)Jean‐Pierre Saint‐Jeannet (1 shared paper)Yoichi Kato (1 shared paper)Chunming Liu (1 shared paper)Yu Katsuyama (1 shared paper)Rebecca Spokony (1 shared paper)
- Journals
- Biochemical and Biophysical Research Communications (2 papers)Journal of Pharmacology and Experimental Therapeutics (1 paper)Pain (1 paper)Journal of the American Chemical Society (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- United StatesNetherlandsItaly
In The Last Decade
Fred Hess
11 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 86
- Genetics 235
- Molecular Biology 1.2k
- Cellular and Molecular Neuroscience 277
- Cell Biology 141
- Genetics 209
Countries citing papers authored by Fred Hess
This map shows the geographic impact of Fred Hess'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 Fred Hess with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fred Hess more than expected).
Fields of papers citing papers by Fred Hess
This network shows the impact of papers produced by Fred Hess. 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 Fred Hess. The network helps show where Fred Hess may publish in the future.
Co-authors
The 25 scholars most cited alongside Fred Hess, 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 | LDL-receptor-related proteins in Wnt signal transduction Hit paper breakdown → | 2000 | 1069 |
| 2 | 1997 | 103 | |
| 3 | 1996 | 98 | |
| 4 | 2011 | 84 | |
| 5 | 2012 | 76 | |
| 6 | 2017 | 73 | |
| 7 | 2003 | 70 | |
| 8 | 1997 | 24 | |
| 9 | 2005 | 19 | |
| 10 | 1996 | 18 | |
| 11 | 2010 | 1 |
About Fred Hess
Fred Hess is a scholar working on Genetics, Physiology, Cellular and Molecular Neuroscience, Cardiology and Cardiovascular Medicine and Molecular Biology, having authored 11 papers that have together received 1.6k indexed citations. Recurring topics across this work include Coagulation, Bradykinin, Polyphosphates, and Angioedema (6 papers), Renin-Angiotensin System Studies (3 papers), Neuropeptides and Animal Physiology (2 papers), Receptor Mechanisms and Signaling (2 papers), Connective tissue disorders research (1 paper), Alzheimer's disease research and treatments (1 paper), Pain Mechanisms and Treatments (1 paper) and Apelin-related biomedical research (1 paper). The work is most often cited by research in Genetics (235 citations), Molecular Biology (1.2k citations), Cellular and Molecular Neuroscience (277 citations), Cell Biology (141 citations) and Genetics (209 citations). Fred Hess has collaborated with scholars based in United States, Netherlands and Italy. Frequent co-authors include Keiko Tamai, Xi He, Mikhail A. Semenov, Jean‐Pierre Saint‐Jeannet, Yoichi Kato, Chunming Liu, Yu Katsuyama, Rebecca Spokony, Xiao-Ping Yang and Marcos E. Alfie. Their work appears in journals such as Biochemical and Biophysical Research Communications, Journal of Pharmacology and Experimental Therapeutics, Pain, Journal of the American Chemical Society and Journal of Biological Chemistry.
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.