Scott D. Emr
Impact in
- Cell Biology top 0.01%
- Cellular transport and secretion
- Endoplasmic Reticulum Stress and Disease
- Physiology top 0.01%
- Calcium signaling and nucleotide metabolism
- Lysosomal Storage Disorders Research
Papers in
- Cell Biology 212
- Cellular transport and secretion 203
- Endoplasmic Reticulum Stress and Disease 106
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- Fungal and yeast genetics research 82
- Lipid Membrane Structure and Behavior 25
- RNA and protein synthesis mechanisms 22
- Photosynthetic Processes and Mechanisms 20
- Co-authors
- Daniel J. Klionsky (13 shared papers)Markus Babst (10 shared papers)David J. Katzmann (10 shared papers)Greg Odorizzi (10 shared papers)Paul K. Herman (12 shared papers)Thomas A. Vida (7 shared papers)Christopher J. Stefan (22 shared papers)Lois M. Banta (8 shared papers)
- Journals
- The Journal of Cell Biology (39 papers)Molecular Biology of the Cell (29 papers)Molecular and Cellular Biology (23 papers)Cell (18 papers)Journal of Biological Chemistry (15 papers)
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
Scott D. Emr
252 papers receiving 45.7k citations
Scott D. Emr's Hit Papers
Peers
Comparison fields: 5 of 155
- Cell Biology 28.5k
- Physiology 3.9k
- Molecular Biology 32.7k
- Epidemiology 7.2k
- Aging 390
Countries citing papers authored by Scott D. Emr
This map shows the geographic impact of Scott D. Emr'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 Scott D. Emr with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Scott D. Emr more than expected).
Fields of papers citing papers by Scott D. Emr
This network shows the impact of papers produced by Scott D. Emr. 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 Scott D. Emr. The network helps show where Scott D. Emr may publish in the future.
Co-authors
The 25 scholars most cited alongside Scott D. Emr, 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 253 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Autophagy as a Regulated Pathway of Cellular Degradation Hit paper breakdown → | 2000 | 3146 |
| 2 | The ESCRT Pathway Hit paper breakdown → | 2011 | 1213 |
| 3 | A new vital stain for visualizing vacuolar membrane dynamics and endocytosis in yeast. Hit paper breakdown → | 1995 | 1209 |
| 4 | Ubiquitin-Dependent Sorting into the Multivesicular Body Pathway Requires the Function of a Conserved Endosomal Protein Sorting Complex, ESCRT-I Hit paper breakdown → | 2001 | 1182 |
| 5 | Receptor downregulation and multivesicular-body sorting Hit paper breakdown → | 2002 | 1022 |
| 6 | Protein sorting in Saccharomyces cerevisiae: isolation of mutants defective in the delivery and processing of multiple vacuolar hydrolases. Hit paper breakdown → | 1988 | 853 |
| 7 | Phosphatidylinositol 3-Kinase Encoded by Yeast VPS 34 Gene Essential for Protein Sorting Hit paper breakdown → | 1993 | 837 |
| 8 | Escrt-III Hit paper breakdown → | 2002 | 744 |
| 9 | Coatomer is essential for retrieval of dilysine-tagged proteins to the endoplasmic reticulum Hit paper breakdown → | 1994 | 714 |
| 10 | The fungal vacuole: composition, function, and biogenesis Hit paper breakdown → | 1990 | 712 |
| 11 | The Vps4p AAA ATPase regulates membrane association of a Vps protein complex required for normal endosome function Hit paper breakdown → | 1998 | 664 |
| 12 | Phosphoinositides as Regulators in Membrane Traffic Hit paper breakdown → | 1996 | 650 |
| 13 | A Membrane Coat Complex Essential for Endosome-to-Golgi Retrograde Transport in Yeast Hit paper breakdown → | 1998 | 605 |
| 14 | Fab1p PtdIns(3)P 5-Kinase Function Essential for Protein Sorting in the Multivesicular Body Hit paper breakdown → | 1998 | 571 |
| 15 | Endosome-Associated Complex, ESCRT-II, Recruits Transport Machinery for Protein Sorting at the Multivesicular Body Hit paper breakdown → | 2002 | 566 |
| 16 | Coming together to define membrane contact sites Hit paper breakdown → | 2019 | 526 |
| 17 | 2006 | 474 | |
| 18 | 1994 | 439 | |
| 19 | ER-to-Plasma Membrane Tethering Proteins Regulate Cell Signaling and ER Morphology Hit paper breakdown → | 2012 | 438 |
| 20 | 1998 | 425 |
About Scott D. Emr
Scott D. Emr is a scholar working on Cell Biology, Molecular Biology, Physiology, Epidemiology and Genetics, having authored 253 papers that have together received 46.7k indexed citations. Recurring topics across this work include Cellular transport and secretion (203 papers), Endoplasmic Reticulum Stress and Disease (106 papers), Fungal and yeast genetics research (82 papers), Lysosomal Storage Disorders Research (29 papers), Lipid Membrane Structure and Behavior (25 papers), RNA and protein synthesis mechanisms (22 papers), Autophagy in Disease and Therapy (20 papers) and Photosynthetic Processes and Mechanisms (20 papers). The work is most often cited by research in Cell Biology (28.5k citations), Physiology (3.9k citations), Molecular Biology (32.7k citations), Epidemiology (7.2k citations) and Aging (390 citations). Scott D. Emr has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Daniel J. Klionsky, Markus Babst, David J. Katzmann, Greg Odorizzi, Paul K. Herman, Thomas A. Vida, Christopher J. Stefan, Lois M. Banta, Anjon Audhya and Jeffrey H. Stack. Their work appears in journals such as The Journal of Cell Biology, Molecular Biology of the Cell, Molecular and Cellular Biology, Cell 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.