Suzanne Elsasser
Impact in
- Cell Biology top 0.5%
- Endoplasmic Reticulum Stress and Disease
- Molecular Biology top 1%
- Ubiquitin and proteasome pathways
- Protein Degradation and Inhibitors
- Glycosylation and Glycoproteins Research
Papers in
- Cell Biology 15
- Endoplasmic Reticulum Stress and Disease 10
- Microtubule and mitosis dynamics 5
- Epidemiology 16
- Autophagy in Disease and Therapy 16
- Co-authors
- Daniel FinleyJohn HannaSteven P. GygiRandall W. KingYuan ShiByung‐Hoon LeeJudith L. CampbellKylie J. Walters
- Journals
- Nature (4 papers)Journal of Biological Chemistry (4 papers)Nature Communications (3 papers)Nature Cell Biology (3 papers)Biochemical Journal (2 papers)
- Partner nations
- United StatesSouth KoreaGermany
In The Last Decade
Suzanne Elsasser
29 papers receiving 4.6k citations
Hit Papers
Peers
Comparison fields: 5 of 99
- Cell Biology 1.6k
- Molecular Biology 4.3k
- Oncology 1.1k
- Epidemiology 1.4k
- Aging 41
Countries citing papers authored by Suzanne Elsasser
This map shows the geographic impact of Suzanne Elsasser'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 Suzanne Elsasser with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suzanne Elsasser more than expected).
Fields of papers citing papers by Suzanne Elsasser
This network shows the impact of papers produced by Suzanne Elsasser. 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 Suzanne Elsasser. The network helps show where Suzanne Elsasser may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Suzanne Elsasser, 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 | 2022 | 19 | |
| 2 | 2020 | 107 | |
| 3 | 2017 | 116 | |
| 4 | 2016 | 159 | |
| 5 | 2015 | 35 | |
| 6 | 2013 | 16 | |
| 7 | Enhancement of proteasome activity by a small-molecule inhibitor of USP14 Hit paper breakdown → | 2010 | 760 |
| 8 | 2008 | 22 | |
| 9 | Proteasome subunit Rpn13 is a novel ubiquitin receptor Hit paper breakdown → | 2008 | 514 |
| 10 | 2008 | 260 | |
| 11 | 2006 | 277 | |
| 12 | 2005 | 152 | |
| 13 | 2005 | 295 | |
| 14 | 2004 | 273 | |
| 15 | 2003 | 13 | |
| 16 | 2001 | 9 | |
| 17 | 1999 | 130 | |
| 18 | 1996 | 105 | |
| 19 | 1992 | 33 | |
| 20 | 1988 | 43 |
About Suzanne Elsasser
Suzanne Elsasser is a scholar working on Cell Biology, Epidemiology, Molecular Biology, Oncology and Cellular and Molecular Neuroscience, having authored 29 papers that have together received 4.6k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (21 papers), Autophagy in Disease and Therapy (16 papers), Endoplasmic Reticulum Stress and Disease (10 papers), DNA Repair Mechanisms (6 papers), Fungal and yeast genetics research (5 papers), Microtubule and mitosis dynamics (5 papers), Peptidase Inhibition and Analysis (4 papers) and Cancer-related Molecular Pathways (3 papers). The work is most often cited by research in Cell Biology (1.6k citations), Molecular Biology (4.3k citations), Oncology (1.1k citations), Epidemiology (1.4k citations) and Aging (41 citations). Suzanne Elsasser has collaborated with scholars based in United States, South Korea and Germany. Frequent co-authors include Daniel Finley, John Hanna, Steven P. Gygi, Randall W. King, Daniel Finley, Yuan Shi, Byung‐Hoon Lee, Judith L. Campbell, Kylie J. Walters and Britta Müller. Their work appears in journals such as Nature, Journal of Biological Chemistry, Nature Communications, Nature Cell Biology and Biochemical Journal.
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.