Marcel H. Schulz
Impact in
- Cancer Research top 1%
- Cancer-related molecular mechanisms research
- Cancer Genomics and Diagnostics
- Molecular Biology top 2%
- Genomics and Phylogenetic Studies
- RNA modifications and cancer
- RNA Research and Splicing
- RNA and protein synthesis mechanisms
- Genomics and Chromatin Dynamics
Papers in
-
- Cancer-related molecular mechanisms research 20
- MicroRNA in disease regulation 10
-
- Genomics and Chromatin Dynamics 30
- RNA Research and Splicing 26
- Genomics and Phylogenetic Studies 23
- RNA modifications and cancer 21
- RNA and protein synthesis mechanisms 15
- Gene expression and cancer classification 12
- Co-authors
- Martin VingronEwan BirneyDaniel R. ZerbinoZemin NingKai YeQuan LongRolf ApweilerHugues Richard
- Journals
- Bioinformatics (18 papers)Nucleic Acids Research (12 papers)GigaScience (4 papers)Scientific Reports (3 papers)DNA Research (2 papers)
- Partner nations
- GermanyUnited StatesSingapore
In The Last Decade
Marcel H. Schulz
90 papers receiving 5.5k citations
Hit Papers
Peers
Comparison fields: 5 of 157
- Cancer Research 1.2k
- Molecular Biology 3.9k
- Genetics 1.3k
- Plant Science 849
- Aging 32
Countries citing papers authored by Marcel H. Schulz
This map shows the geographic impact of Marcel H. Schulz'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 Marcel H. Schulz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marcel H. Schulz more than expected).
Fields of papers citing papers by Marcel H. Schulz
This network shows the impact of papers produced by Marcel H. Schulz. 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 Marcel H. Schulz. The network helps show where Marcel H. Schulz may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Marcel H. Schulz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2026 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 2 | |
| 4 | 2023 | 5 | |
| 5 | 2023 | 0 | |
| 6 | 2023 | 8 | |
| 7 | 2023 | 11 | |
| 8 | 2022 | 13 | |
| 9 | 2022 | 21 | |
| 10 | 2021 | 11 | |
| 11 | 2021 | 5 | |
| 12 | 2021 | 8 | |
| 13 | 2020 | 12 | |
| 14 | 2020 | 4 | |
| 15 | 2020 | 48 | |
| 16 | 2019 | 18 | |
| 17 | 2018 | 8 | |
| 18 | 2018 | 25 | |
| 19 | 2018 | 17 | |
| 20 | A Global View of Gene Activity and Alternative Splicing by Deep Sequencing of the Human Transcriptome Hit paper breakdown → | 2008 | 949 |
About Marcel H. Schulz
Marcel H. Schulz is a scholar working on Cancer Research, Molecular Biology, Genetics, Behavioral Neuroscience and Plant Science, having authored 98 papers that have together received 5.5k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (30 papers), RNA Research and Splicing (26 papers), Genomics and Phylogenetic Studies (23 papers), RNA modifications and cancer (21 papers), Cancer-related molecular mechanisms research (20 papers), RNA and protein synthesis mechanisms (15 papers), Gene expression and cancer classification (12 papers) and MicroRNA in disease regulation (10 papers). The work is most often cited by research in Cancer Research (1.2k citations), Molecular Biology (3.9k citations), Genetics (1.3k citations), Plant Science (849 citations) and Aging (32 citations). Marcel H. Schulz has collaborated with scholars based in Germany, United States and Singapore. Frequent co-authors include Martin Vingron, Ewan Birney, Daniel R. Zerbino, Zemin Ning, Kai Ye, Quan Long, Rolf Apweiler, Hugues Richard, Stefan A. Haas and Marc Sultan. Their work appears in journals such as Bioinformatics, Nucleic Acids Research, GigaScience, Scientific Reports and DNA Research.
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.