Ralph Graichen
Impact in
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- Growth Hormone and Insulin-like Growth Factors
- Cancer Research top 10%
- MicroRNA in disease regulation
Papers in
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- Pluripotent Stem Cells Research 6
- CRISPR and Genetic Engineering 4
- Oncology 5
- Cytokine Signaling Pathways and Interactions 3
- Clusterin in disease pathology 2
- Co-authors
- Alan Colman (5 shared papers)Peter E. Lobie (5 shared papers)Eyleen L. K. Goh (4 shared papers)Tao Zhu (2 shared papers)Hannes Hentze (1 shared paper)Bruce P. Davidson (4 shared papers)Robert Zweigerdt (4 shared papers)Ling Ling (1 shared paper)
- Journals
- Journal of Biological Chemistry (3 papers)Differentiation (2 papers)Endocrinology (1 paper)Trends in biotechnology (1 paper)Cytotherapy (1 paper)
- Partner nations
- SingaporeUnited StatesGermany
In The Last Decade
Ralph Graichen
14 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 82
- Endocrinology, Diabetes and Metabolism 249
- Cancer Research 175
- Molecular Biology 856
- Developmental Neuroscience 33
- Surgery 318
Countries citing papers authored by Ralph Graichen
This map shows the geographic impact of Ralph Graichen'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 Ralph Graichen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ralph Graichen more than expected).
Fields of papers citing papers by Ralph Graichen
This network shows the impact of papers produced by Ralph Graichen. 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 Ralph Graichen. The network helps show where Ralph Graichen may publish in the future.
Co-authors
The 25 scholars most cited alongside Ralph Graichen, 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 | 2001 | 207 | |
| 2 | 2007 | 179 | |
| 3 | 2006 | 151 | |
| 4 | 2007 | 142 | |
| 5 | 2008 | 140 | |
| 6 | 2007 | 111 | |
| 7 | 2008 | 80 | |
| 8 | 2002 | 56 | |
| 9 | 1997 | 48 | |
| 10 | 1999 | 45 | |
| 11 | 2000 | 43 | |
| 12 | 1996 | 27 | |
| 13 | 2003 | 27 | |
| 14 | Sorting of gp80 (GPIII, clusterin), a marker protein for constitutive apical secretion in Madin-Darby canine kidney (MDCK) cells, into the regulated pathway in the pheochromocytoma cell line PC12. | 1996 | 16 |
About Ralph Graichen
Ralph Graichen is a scholar working on Molecular Biology, Oncology, Endocrinology, Diabetes and Metabolism, Cancer Research and Surgery, having authored 14 papers that have together received 1.3k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (6 papers), Growth Hormone and Insulin-like Growth Factors (4 papers), CRISPR and Genetic Engineering (4 papers), Cytokine Signaling Pathways and Interactions (3 papers), Clusterin in disease pathology (2 papers), Tissue Engineering and Regenerative Medicine (2 papers), 3D Printing in Biomedical Research (2 papers) and Neuroscience and Neural Engineering (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (249 citations), Cancer Research (175 citations), Molecular Biology (856 citations), Developmental Neuroscience (33 citations) and Surgery (318 citations). Ralph Graichen has collaborated with scholars based in Singapore, United States and Germany. Frequent co-authors include Alan Colman, Peter E. Lobie, Eyleen L. K. Goh, Tao Zhu, Hannes Hentze, Bruce P. Davidson, Robert Zweigerdt, Ling Ling, Su Chin Tham and Thavamalar Balakrishnan. Their work appears in journals such as Journal of Biological Chemistry, Differentiation, Endocrinology, Trends in biotechnology and Cytotherapy.
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.