Martin Schröder
- Cell Biology top 0.1%
- Molecular Biology top 2%
- Epidemiology top 1%
- Surgery top 5%
- Immunology top 5%
- Co-authors
- Randal J. KaufmanChuan Yin LiuKlaus HahlbrockErich KombrinkKyung‐Ho LeeStacey ArnoldXiaohua ShenDonalyn Scheuner
- Topics
- Endoplasmic Reticulum Stress and Disease (20 papers)Autophagy in Disease and Therapy (10 papers)Fungal and yeast genetics research (7 papers)
- Cited by
- Cell BiologyAgingEpidemiology
- Journals
- Proceedings of the National Academy of SciencesChemical Society ReviewsJournal of Biological Chemistry
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Martin Schröder
29 papers receiving 6.7k citations
Hit Papers
Peers
Comparison fields: 5 of 139
- Cell Biology 4.1k
- Molecular Biology 3.4k
- Epidemiology 2.0k
- Surgery 831
- Immunology 677
Countries citing papers authored by Martin Schröder
This map shows the geographic impact of Martin Schröder'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 Martin Schröder with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Schröder more than expected).
Fields of papers citing papers by Martin Schröder
This network shows the impact of papers produced by Martin Schröder. 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 Martin Schröder. The network helps show where Martin Schröder may publish in the future.
Co-authorship network of co-authors of Martin Schröder
This figure shows the co-authorship network connecting the top 25 collaborators of Martin Schröder. A scholar is included among the top collaborators of Martin Schröder based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Martin Schröder. Martin Schröder is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | 71 | |
| 3 | 14 | |
| 4 | 5 | |
| 5 | 88 | |
| 6 | 19 | |
| 7 | 27 | |
| 8 | 14 | |
| 9 | 34 | |
| 10 | Endoplasmic reticulum stress responsesbreakdown → | 559 |
| 11 | 49 | |
| 12 | 184 | |
| 13 | THE MAMMALIAN UNFOLDED PROTEIN RESPONSEbreakdown → | 2480 |
| 14 | 32 | |
| 15 | 46 | |
| 16 | 43 | |
| 17 | The unfolded protein response in nutrient sensing and differentiationbreakdown → | 502 |
| 18 | 73 | |
| 19 | 11 | |
| 20 | 88 |
About Martin Schröder
Martin Schröder is a scholar working on Cell Biology, Biotechnology and Aging, having authored 29 papers that have together received 6.8k indexed citations. Recurring topics across this work include Endoplasmic Reticulum Stress and Disease (20 papers), Autophagy in Disease and Therapy (10 papers) and Fungal and yeast genetics research (7 papers). The work is most often cited by research in Cell Biology (4.1k citations), Aging (152 citations) and Epidemiology (2.0k citations). Martin Schröder has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Randal J. Kaufman, Chuan Yin Liu, Klaus Hahlbrock, Erich Kombrink, Kyung‐Ho Lee, Stacey Arnold, Xiaohua Shen, Donalyn Scheuner, Vipul M. Parmar and Kezhong Zhang. Their work appears in journals such as Proceedings of the National Academy of Sciences, Chemical Society Reviews 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.