Mark Goebl
Impact in
- Cell Biology top 1%
- Cellular transport and secretion
- Microtubule and mitosis dynamics
- Endoplasmic Reticulum Stress and Disease
- Molecular Biology top 2%
- Fungal and yeast genetics research
- Ubiquitin and proteasome pathways
- RNA and protein synthesis mechanisms
- RNA Research and Splicing
- Genomics and Chromatin Dynamics
Papers in
- Cell Biology 10
- Cellular transport and secretion 5
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- Fungal and yeast genetics research 14
- Genomics and Chromatin Dynamics 5
- Ubiquitin and proteasome pathways 5
- DNA Repair Mechanisms 4
- RNA Research and Splicing 3
- RNA and protein synthesis mechanisms 3
- Co-authors
- Mitsuhiro Yanagida (3 shared papers)Chang Bai (1 shared paper)Partha Sen (1 shared paper)Kay Hofmann (1 shared paper)J. Wade Harper (1 shared paper)Stephen J. Elledge (1 shared paper)Lei Ma (1 shared paper)Mark S. Boguski (3 shared papers)
- Journals
- Molecular and Cellular Biology (6 papers)Cell (3 papers)Journal of Biological Chemistry (3 papers)Nature (3 papers)Genetics (2 papers)
- Partner nations
- United StatesJapanCanada
In The Last Decade
Mark Goebl
35 papers receiving 4.9k citations
Mark Goebl's Hit Papers
Peers
Comparison fields: 5 of 107
- Cell Biology 1.3k
- Molecular Biology 4.4k
- Aging 69
- Oncology 491
- Plant Science 746
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 35 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 | 1194 |
| 2 | 1990 | 452 | |
| 3 | 1990 | 444 | |
| 4 | 1991 | 409 | |
| 5 | 1991 | 327 | |
| 6 | 1991 | 244 | |
| 7 | 1991 | 179 | |
| 8 | 1994 | 178 | |
| 9 | 1993 | 174 | |
| 10 | 1993 | 168 | |
| 11 | 1992 | 150 | |
| 12 | 1993 | 148 | |
| 13 | 1992 | 127 | |
| 14 | 1991 | 99 | |
| 15 | 1992 | 92 | |
| 16 | 1992 | 90 | |
| 17 | 1991 | 68 | |
| 18 | 1995 | 67 | |
| 19 | 1994 | 60 | |
| 20 | 1991 | 53 |
About Mark Goebl
Mark Goebl is a scholar working on Cell Biology, Molecular Biology, Genetics, Oncology and Cancer Research, having authored 35 papers that have together received 5.0k indexed citations. Recurring topics across this work include Fungal and yeast genetics research (14 papers), Genomics and Chromatin Dynamics (5 papers), Cellular transport and secretion (5 papers), Ubiquitin and proteasome pathways (5 papers), DNA Repair Mechanisms (4 papers), Cancer-related Molecular Pathways (3 papers), RNA Research and Splicing (3 papers) and RNA and protein synthesis mechanisms (3 papers). The work is most often cited by research in Cell Biology (1.3k citations), Molecular Biology (4.4k citations), Aging (69 citations), Oncology (491 citations) and Plant Science (746 citations). Mark Goebl has collaborated with scholars based in United States, Japan and Canada. Frequent co-authors include Mitsuhiro Yanagida, Chang Bai, Partha Sen, Kay Hofmann, J. Wade Harper, Stephen J. Elledge, Lei Ma, Mark S. Boguski, Philip Hieter and Robert S. Sikorski. Their work appears in journals such as Molecular and Cellular Biology, Cell, Journal of Biological Chemistry, Nature and Genetics.
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.