Michael Thumm
Impact in
- Cell Biology top 0.5%
- Endoplasmic Reticulum Stress and Disease
- Cellular transport and secretion
- Epidemiology top 0.5%
- Autophagy in Disease and Therapy
Papers in
- Cell Biology 45
- Endoplasmic Reticulum Stress and Disease 33
- Cellular transport and secretion 26
- Epidemiology 42
- Autophagy in Disease and Therapy 42
- Co-authors
- Roswitha Krick (20 shared papers)Michael Straub (5 shared papers)Ulrike D. Epple (7 shared papers)Eeva‐Liisa Eskelinen (8 shared papers)Dieter H. Wolf (7 shared papers)Detlef Wolf (3 shared papers)Henning Barth (7 shared papers)Daniel J. Klionsky (3 shared papers)
- Journals
- Autophagy (17 papers)FEBS Letters (8 papers)Journal of Biological Chemistry (7 papers)Journal of Bacteriology (5 papers)Molecular Biology of the Cell (3 papers)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Michael Thumm
62 papers receiving 3.9k citations
Peers
Comparison fields: 5 of 99
- Cell Biology 1.9k
- Epidemiology 2.5k
- Physiology 333
- Aging 62
- Molecular Biology 2.2k
Countries citing papers authored by Michael Thumm
This map shows the geographic impact of Michael Thumm'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 Michael Thumm with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Thumm more than expected).
Fields of papers citing papers by Michael Thumm
This network shows the impact of papers produced by Michael Thumm. 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 Michael Thumm. The network helps show where Michael Thumm may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Thumm, 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 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1994 | 491 | |
| 2 | 1996 | 222 | |
| 3 | 2008 | 160 | |
| 4 | 2001 | 159 | |
| 5 | 2010 | 154 | |
| 6 | 2012 | 130 | |
| 7 | 2008 | 126 | |
| 8 | 2003 | 125 | |
| 9 | 2010 | 110 | |
| 10 | 2009 | 101 | |
| 11 | 1995 | 98 | |
| 12 | 2001 | 95 | |
| 13 | 1997 | 94 | |
| 14 | 2000 | 86 | |
| 15 | 2004 | 85 | |
| 16 | 2006 | 83 | |
| 17 | 1998 | 83 | |
| 18 | 2005 | 82 | |
| 19 | 2015 | 82 | |
| 20 | 2008 | 82 |
About Michael Thumm
Michael Thumm is a scholar working on Cell Biology, Epidemiology, Molecular Biology, Plant Science and Oncology, having authored 63 papers that have together received 4.0k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (42 papers), Endoplasmic Reticulum Stress and Disease (33 papers), Cellular transport and secretion (26 papers), Fungal and yeast genetics research (9 papers), Ubiquitin and proteasome pathways (7 papers), Studies on Chitinases and Chitosanases (5 papers), Metabolism, Diabetes, and Cancer (3 papers) and RNA Interference and Gene Delivery (3 papers). The work is most often cited by research in Cell Biology (1.9k citations), Epidemiology (2.5k citations), Physiology (333 citations), Aging (62 citations) and Molecular Biology (2.2k citations). Michael Thumm has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Roswitha Krick, Michael Straub, Ulrike D. Epple, Eeva‐Liisa Eskelinen, Dieter H. Wolf, Detlef Wolf, Henning Barth, Daniel J. Klionsky, Martin Schlumpberger and Ralf Egner. Their work appears in journals such as Autophagy, FEBS Letters, Journal of Biological Chemistry, Journal of Bacteriology and Molecular Biology of the Cell.
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.