Mark Goebl
Impact in
- Cell Biology top 0.5%
- Cellular transport and secretion
- Microtubule and mitosis dynamics
- Endoplasmic Reticulum Stress and Disease
- Molecular Biology top 1%
- Ubiquitin and proteasome pathways
- Fungal and yeast genetics research
- RNA and protein synthesis mechanisms
- RNA Research and Splicing
- Genomics and Chromatin Dynamics
Papers in
-
- Fungal and yeast genetics research 17
- Ubiquitin and proteasome pathways 6
- Genomics and Chromatin Dynamics 5
- DNA Repair Mechanisms 4
- RNA and protein synthesis mechanisms 4
- RNA Research and Splicing 3
- Cell Biology 10
- Cellular transport and secretion 5
- Co-authors
- Mitsuhiro Yanagida (3 shared papers)J. Wade Harper (1 shared paper)Chang Bai (1 shared paper)Lei Ma (1 shared paper)Partha Sen (1 shared paper)Stephen J. Elledge (1 shared paper)Kay Hofmann (1 shared paper)Mark S. Boguski (2 shared papers)
- Journals
- Molecular and Cellular Biology (7 papers)Cell (3 papers)Journal of Biological Chemistry (3 papers)Nature (2 papers)Genes & Development (2 papers)
- Partner nations
- United StatesJapanCanada
In The Last Decade
Mark Goebl
37 papers receiving 5.2k citations
Mark Goebl's Hit Papers
Peers
Comparison fields: 5 of 104
- Cell Biology 1.4k
- Molecular Biology 4.7k
- Aging 74
- Plant Science 798
- Oncology 573
Countries citing papers authored by Mark Goebl
This map shows the geographic impact of Mark Goebl'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 Mark Goebl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Goebl more than expected).
Fields of papers citing papers by Mark Goebl
This network shows the impact of papers produced by Mark Goebl. 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 Mark Goebl. The network helps show where Mark Goebl may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark Goebl, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | SKP1 Connects Cell Cycle Regulators to the Ubiquitin Proteolysis Machinery through a Novel Motif, the F-Box Hit paper breakdown → | 1996 | 1179 |
| 2 | 1990 | 434 | |
| 3 | 1990 | 423 | |
| 4 | 1991 | 402 | |
| 5 | 1991 | 310 | |
| 6 | 1998 | 270 | |
| 7 | 1991 | 239 | |
| 8 | 1994 | 172 | |
| 9 | 1991 | 168 | |
| 10 | 1993 | 164 | |
| 11 | 1993 | 158 | |
| 12 | 1992 | 149 | |
| 13 | 1993 | 143 | |
| 14 | 1992 | 123 | |
| 15 | 1988 | 119 | |
| 16 | 1991 | 91 | |
| 17 | 1992 | 89 | |
| 18 | 1992 | 86 | |
| 19 | 1991 | 77 | |
| 20 | 1991 | 70 |
About Mark Goebl
Mark Goebl is a scholar working on Molecular Biology, Cell Biology, Genetics, Oncology and Biomedical Engineering, having authored 37 papers that have together received 5.3k indexed citations. Recurring topics across this work include Fungal and yeast genetics research (17 papers), Ubiquitin and proteasome pathways (6 papers), Genomics and Chromatin Dynamics (5 papers), Cellular transport and secretion (5 papers), Cancer-related Molecular Pathways (4 papers), DNA Repair Mechanisms (4 papers), RNA and protein synthesis mechanisms (4 papers) and RNA Research and Splicing (3 papers). The work is most often cited by research in Cell Biology (1.4k citations), Molecular Biology (4.7k citations), Aging (74 citations), Plant Science (798 citations) and Oncology (573 citations). Mark Goebl has collaborated with scholars based in United States, Japan and Canada. Frequent co-authors include Mitsuhiro Yanagida, J. Wade Harper, Chang Bai, Lei Ma, Partha Sen, Stephen J. Elledge, Kay Hofmann, Mark S. Boguski, Robert Sikorski and Tom H. Stevens. Their work appears in journals such as Molecular and Cellular Biology, Cell, Journal of Biological Chemistry, Nature and Genes & Development.
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.