Marcus Fischer
- Molecular Biology top 5%
- Oncology top 5%
- Materials Chemistry top 10%
- Computational Theory and Mathematics top 2%
- Cancer Research top 10%
- Co-authors
- Brian K. ShoichetGavin H. ThomasAxel WinkelmannChristian JanieschFlorian ImgrundRoderick E. HubbardTimothy HoeyAnn M. Kapoun
- Topics
- Protein Structure and Dynamics (19 papers)Enzyme Structure and Function (16 papers)Computational Drug Discovery Methods (16 papers)
- Journals
- NatureProceedings of the National Academy of SciencesJournal of the American Chemical Society
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Marcus Fischer
83 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 160
- Molecular Biology 1.6k
- Oncology 628
- Materials Chemistry 367
- Computational Theory and Mathematics 261
- Cancer Research 176
Countries citing papers authored by Marcus Fischer
This map shows the geographic impact of Marcus Fischer'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 Marcus Fischer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marcus Fischer more than expected).
Fields of papers citing papers by Marcus Fischer
This network shows the impact of papers produced by Marcus Fischer. 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 Marcus Fischer. The network helps show where Marcus Fischer may publish in the future.
Co-authorship network of co-authors of Marcus Fischer
This figure shows the co-authorship network connecting the top 25 collaborators of Marcus Fischer. A scholar is included among the top collaborators of Marcus Fischer 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 Marcus Fischer. Marcus Fischer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 7 | |
| 7 | 19 | |
| 8 | 11 | |
| 9 | 29 | |
| 10 | 25 | |
| 11 | PRIORITIZING AND ORGANIZING THE MODELING OF THE LONG TAIL OF BUSINESS PROCESSES | 2 |
| 12 | Strategy archetypes for digital transformation: Defining meta objectives using business process managementbreakdown → | 217 |
| 13 | Process Selection in RPA Projects – Towards a Quantifiable Method of Decision Making | 18 |
| 14 | MANAGING THE LONG TAIL OF BUSINESS PROCESSES | 5 |
| 15 | 195 | |
| 16 | 66 | |
| 17 | 21 | |
| 18 | 58 | |
| 19 | 100 | |
| 20 | 40 |
About Marcus Fischer
Marcus Fischer is a scholar working on Computational Theory and Mathematics, Oncology and Molecular Biology, having authored 85 papers that have together received 2.5k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (19 papers), Enzyme Structure and Function (16 papers) and Computational Drug Discovery Methods (16 papers). The work is most often cited by research in Molecular Biology (1.6k citations), Oncology (628 citations) and Structural Biology (30 citations). Marcus Fischer has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Brian K. Shoichet, Gavin H. Thomas, Axel Winkelmann, Christian Janiesch, Florian Imgrund, Roderick E. Hubbard, Timothy Hoey, Ann M. Kapoun, Christopher Mulligan and James S. Fraser. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.
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.