Per Eivind STRØMHAUG
Impact in
- Epidemiology top 0.2%
- Autophagy in Disease and Therapy
- Aging top 5%
Papers in
- Epidemiology 28
- Autophagy in Disease and Therapy 28
-
- Cellular transport and secretion 5
- Co-authors
- Daniel J. Klionsky (12 shared papers)Per O. Seglen (14 shared papers)Trond Berg (10 shared papers)Wei‐Pang Huang (3 shared papers)Fulvio Reggiori (3 shared papers)Monica Fengsrud (6 shared papers)William A. Dunn (6 shared papers)Chao-Wen Wang (5 shared papers)
- Journals
- Journal of Biological Chemistry (8 papers)Biochemical Journal (7 papers)Molecular Biology of the Cell (4 papers)The Journal of Cell Biology (3 papers)Autophagy (3 papers)
- Partner nations
- United StatesNorwayJapan
In The Last Decade
Per Eivind STRØMHAUG
34 papers receiving 10.0k citations
Per Eivind STRØMHAUG's Hit Papers
Peers
Comparison fields: 5 of 107
- Epidemiology 4.9k
- Aging 53
- Cell Biology 379
- Neurology 220
- Physiology 51
Countries citing papers authored by Per Eivind STRØMHAUG
This map shows the geographic impact of Per Eivind STRØMHAUG'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 Per Eivind STRØMHAUG with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Per Eivind STRØMHAUG more than expected).
Fields of papers citing papers by Per Eivind STRØMHAUG
This network shows the impact of papers produced by Per Eivind STRØMHAUG. 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 Per Eivind STRØMHAUG. The network helps show where Per Eivind STRØMHAUG may publish in the future.
Co-authors
The 25 scholars most cited alongside Per Eivind STRØMHAUG, 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 | Guidelines for the use and interpretation of assays for monitoring autophagy (3rd edition) Hit paper breakdown → | 2016 | 4680 |
| 2 | Guidelines for the use and interpretation of assays for monitoring autophagy in higher eukaryotes Hit paper breakdown → | 2008 | 1996 |
| 3 | 2004 | 394 | |
| 4 | 1998 | 327 | |
| 5 | 2002 | 304 | |
| 6 | 2002 | 237 | |
| 7 | 2001 | 221 | |
| 8 | 2004 | 186 | |
| 9 | 2001 | 170 | |
| 10 | 2002 | 169 | |
| 11 | 1998 | 142 | |
| 12 | 2001 | 137 | |
| 13 | 2001 | 136 | |
| 14 | 1999 | 119 | |
| 15 | 2002 | 110 | |
| 16 | 1994 | 101 | |
| 17 | 2003 | 97 | |
| 18 | 2003 | 89 | |
| 19 | 1991 | 85 | |
| 20 | 1996 | 79 |
About Per Eivind STRØMHAUG
Per Eivind STRØMHAUG is a scholar working on Epidemiology, Cell Biology, Nuclear Energy and Engineering, Waste Management and Disposal and Infectious Diseases, having authored 35 papers that have together received 10.2k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (28 papers) and Cellular transport and secretion (5 papers). The work is most often cited by research in Epidemiology (4.9k citations), Aging (53 citations), Cell Biology (379 citations), Neurology (220 citations) and Physiology (51 citations). Per Eivind STRØMHAUG has collaborated with scholars based in United States, Norway and Japan. Frequent co-authors include Daniel J. Klionsky, Per O. Seglen, Trond Berg, Wei‐Pang Huang, Fulvio Reggiori, Monica Fengsrud, William A. Dunn, Chao-Wen Wang, Takahiro Shintani and Scott D. Emr. Their work appears in journals such as Journal of Biological Chemistry, Biochemical Journal, Molecular Biology of the Cell, The Journal of Cell Biology and Autophagy.
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.