David E. Scherrer
Impact in
- Physiology top 5%
- Lysosomal Storage Disorders Research
- Hematology top 5%
- Autoimmune and Inflammatory Disorders Research
Papers in ⓘ
-
- Autoimmune and Inflammatory Disorders Research 2
- Co-authors
- Jean E. Schaffer (7 shared papers)Dana R. Abendschein (8 shared papers)Daniel S. Ory (7 shared papers)Samuel A. Wickline (5 shared papers)Gregory M. Lanza (4 shared papers)Michael J. Scott (4 shared papers)Rohini Sidhu (5 shared papers)Forbes D. Porter (5 shared papers)
- Journals
- Academic Radiology (2 papers)Journal of Clinical Investigation (2 papers)Journal of Lipid Research (2 papers)Science Translational Medicine (2 papers)Journal of Biological Chemistry (2 papers)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
David E. Scherrer
21 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 92
- Physiology 419
- Hematology 162
- Physiology 59
- Biomaterials 134
- Clinical Biochemistry 58
Countries citing papers authored by David E. Scherrer
This map shows the geographic impact of David E. Scherrer'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 David E. Scherrer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David E. Scherrer more than expected).
Fields of papers citing papers by David E. Scherrer
This network shows the impact of papers produced by David E. Scherrer. 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 David E. Scherrer. The network helps show where David E. Scherrer may publish in the future.
Co-authors
The 25 scholars most cited alongside David E. Scherrer, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 265 | |
| 2 | 2002 | 225 | |
| 3 | 2011 | 198 | |
| 4 | 2008 | 106 | |
| 5 | 2000 | 82 | |
| 6 | 2016 | 78 | |
| 7 | 2000 | 72 | |
| 8 | 2008 | 66 | |
| 9 | 2016 | 65 | |
| 10 | 1999 | 41 | |
| 11 | 2002 | 31 | |
| 12 | 2012 | 23 | |
| 13 | 2014 | 20 | |
| 14 | 1995 | 17 | |
| 15 | 2010 | 11 | |
| 16 | 2018 | 7 | |
| 17 | 1999 | 6 | |
| 18 | 2003 | 6 | |
| 19 | 2024 | 4 | |
| 20 | 1996 | 2 |
About David E. Scherrer
David E. Scherrer is a scholar working on Hematology, Internal Medicine, Physiology, Molecular Biology and Biomaterials, having authored 21 papers that have together received 1.3k indexed citations. Recurring topics across this work include Lysosomal Storage Disorders Research (5 papers), Sphingolipid Metabolism and Signaling (4 papers), Coronary Interventions and Diagnostics (3 papers), Cholesterol and Lipid Metabolism (3 papers), Angiogenesis and VEGF in Cancer (3 papers), Photoacoustic and Ultrasonic Imaging (3 papers), Nanoplatforms for cancer theranostics (2 papers) and Autoimmune and Inflammatory Disorders Research (2 papers). The work is most often cited by research in Physiology (419 citations), Hematology (162 citations), Physiology (59 citations), Biomaterials (134 citations) and Clinical Biochemistry (58 citations). David E. Scherrer has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Jean E. Schaffer, Dana R. Abendschein, Daniel S. Ory, Samuel A. Wickline, Gregory M. Lanza, Michael J. Scott, Rohini Sidhu, Forbes D. Porter, Dennis J. Dietzen and Nicole M. Yanjanin. Their work appears in journals such as Academic Radiology, Journal of Clinical Investigation, Journal of Lipid Research, Science Translational Medicine 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.