Johan Schultz
Impact in
- Molecular Biology top 10%
- Protein Structure and Dynamics
- Ubiquitin and proteasome pathways
- DNA and Nucleic Acid Chemistry
- RNA and protein synthesis mechanisms
- Wnt/β-catenin signaling in development and cancer
- Cell Biology top 10%
- Hippo pathway signaling and YAP/TAZ
Papers in
-
- PI3K/AKT/mTOR signaling in cancer 8
- Wnt/β-catenin signaling in development and cancer 6
- DNA and Nucleic Acid Chemistry 5
- Oncology 7
- Co-authors
- María J. Macias (2 shared papers)Hartmut Oschkinat (2 shared papers)Marko Hyvönen (1 shared paper)Matti Saraste (1 shared paper)Marius Sudol (1 shared paper)Elena Baraldi (1 shared paper)Mats Wikström (4 shared papers)Johan Weigelt (4 shared papers)
In The Last Decade
Johan Schultz
39 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 90
- Molecular Biology 891
- Cell Biology 175
- Oncology 185
- Toxicology 22
- Cellular and Molecular Neuroscience 104
Countries citing papers authored by Johan Schultz
This map shows the geographic impact of Johan Schultz'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 Johan Schultz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Johan Schultz more than expected).
Fields of papers citing papers by Johan Schultz
This network shows the impact of papers produced by Johan Schultz. 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 Johan Schultz. The network helps show where Johan Schultz may publish in the future.
Co-authors
The 25 scholars most cited alongside Johan Schultz, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1996 | 372 | |
| 2 | 1998 | 202 | |
| 3 | 2002 | 58 | |
| 4 | 2002 | 51 | |
| 5 | 2018 | 50 | |
| 6 | 2018 | 44 | |
| 7 | 1994 | 41 | |
| 8 | 2002 | 40 | |
| 9 | 2018 | 35 | |
| 10 | 2020 | 31 | |
| 11 | 2004 | 31 | |
| 12 | 2008 | 25 | |
| 13 | 2002 | 23 | |
| 14 | 1994 | 22 | |
| 15 | 2021 | 18 | |
| 16 | 1992 | 18 | |
| 17 | 2015 | 17 | |
| 18 | 2014 | 15 | |
| 19 | 1993 | 14 | |
| 20 | 2022 | 13 |
About Johan Schultz
Johan Schultz is a scholar working on Molecular Biology, Oncology, Genetics, Immunology and Spectroscopy, having authored 39 papers that have together received 1.2k indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (8 papers), Wnt/β-catenin signaling in development and cancer (6 papers), Chronic Lymphocytic Leukemia Research (6 papers), DNA and Nucleic Acid Chemistry (5 papers), Galectins and Cancer Biology (4 papers), Advanced NMR Techniques and Applications (3 papers), Phagocytosis and Immune Regulation (3 papers) and Bacteriophages and microbial interactions (3 papers). The work is most often cited by research in Molecular Biology (891 citations), Cell Biology (175 citations), Oncology (185 citations), Toxicology (22 citations) and Cellular and Molecular Neuroscience (104 citations). Johan Schultz has collaborated with scholars based in Sweden, Iran and Germany. Frequent co-authors include María J. Macias, Hartmut Oschkinat, Marko Hyvönen, Matti Saraste, Marius Sudol, Elena Baraldi, Mats Wikström, Johan Weigelt, J. Uppenberg and Gerd Krause. Their work appears in journals such as Blood, Journal of Clinical Oncology, SLAS DISCOVERY, Journal of the American Chemical Society and Pharmaceutics.
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.