Rainer Spang
- Molecular Biology top 1%
- Gene expression and cancer classification 40
- Bioinformatics and Genomic Networks 26
- Molecular Biology Techniques and Applications 17
- Metabolomics and Mass Spectrometry Studies 13
- Gene Regulatory Network Analysis 13
- Genomics and Chromatin Dynamics 11
- Cancer Research top 2%
- Oncology top 2%
- Viral-associated cancers and disorders 10
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- Lymphoma Diagnosis and Treatment 29
- Genetics top 2%
- Co-authors
- Florian MarkowetzHarry ZuzanMike WestSeiichi IshidaErich HuangJoseph R. NevinsPeter J. OefnerCarrie Blanchette
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Rainer Spang
140 papers receiving 7.1k citations
Hit Papers
Peers
Comparison fields: 5 of 175
- Molecular Biology 4.6k
- Cancer Research 913
- Oncology 1.6k
- Pathology and Forensic Medicine 906
- Genetics 506
Countries citing papers authored by Rainer Spang
This map shows the geographic impact of Rainer Spang'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 Rainer Spang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rainer Spang more than expected).
Fields of papers citing papers by Rainer Spang
This network shows the impact of papers produced by Rainer Spang. 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 Rainer Spang. The network helps show where Rainer Spang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Rainer Spang, 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 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2022 | 6 | |
| 6 | 2021 | 5 | |
| 7 | 2021 | 16 | |
| 8 | 2020 | 81 | |
| 9 | 2019 | 22 | |
| 10 | 2017 | 12 | |
| 11 | 2016 | 173 | |
| 12 | Metagenomic analysis of the stool microbiome in patients receiving allogeneic SCT: Loss of diversity is associated with use of systemic antibiotics and more pronounced in gastrointestinal GvHD | 2014 | 4 |
| 13 | 2013 | 110 | |
| 14 | 2013 | 29 | |
| 15 | 2012 | 12 | |
| 16 | 2010 | 207 | |
| 17 | Conserved oncogenic module activation patterns (COMAPS) identify biologically homogeneous groups of diffuse large B-cell lymphomas and clearly define Burkitt lymphoma | 2008 | 2 |
| 18 | 2007 | 175 | |
| 19 | 2006 | 32 | |
| 20 | Sequence Database Search Using Jumping Alignments. | 2001 | 3 |
About Rainer Spang
Rainer Spang is a scholar working on Computational Mathematics, Pathology and Forensic Medicine and Cancer Research, having authored 148 papers that have together received 7.3k indexed citations. Recurring topics across this work include Gene expression and cancer classification (40 papers), Lymphoma Diagnosis and Treatment (29 papers), Bioinformatics and Genomic Networks (26 papers), Molecular Biology Techniques and Applications (17 papers), Metabolomics and Mass Spectrometry Studies (13 papers), Gene Regulatory Network Analysis (13 papers), Genomics and Chromatin Dynamics (11 papers) and Viral-associated cancers and disorders (10 papers). The work is most often cited by research in Molecular Biology (4.6k citations), Cancer Research (913 citations) and Oncology (1.6k citations). Rainer Spang has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Florian Markowetz, Harry Zuzan, Mike West, Seiichi Ishida, Erich Huang, Joseph R. Nevins, Peter J. Oefner, Carrie Blanchette, Jeffrey R. Marks and Holly K. Dressman. Their work appears in journals such as Bioinformatics, Journal of Computational Biology, PLoS ONE, Nature Communications and Blood.
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.