Simon Heumos
Impact in
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- Genetic Mapping and Diversity in Plants and Animals
- Genetic diversity and population structure
Papers in
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- Genomics and Phylogenetic Studies 4
- Genomics and Chromatin Dynamics 2
- Bioinformatics and Genomic Networks 2
- Gene expression and cancer classification 2
- Single-cell and spatial transcriptomics 1
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- T-cell and B-cell Immunology 2
- Immunotherapy and Immune Responses 2
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms 1
- Co-authors
- Erik Garrison (6 shared papers)Sven Nahnsen (6 shared papers)Pjotr Prins (4 shared papers)Andrea Guarracino (4 shared papers)Benedict Paten (2 shared papers)Jordan M. Eizenga (2 shared papers)Adam M. Novak (2 shared papers)Glenn Hickey (2 shared papers)
- Journals
- Bioinformatics (4 papers)Frontiers in Immunology (3 papers)Scientific Reports (1 paper)PLoS Computational Biology (1 paper)Cancer Cell International (1 paper)
- Partner nations
- GermanyUnited StatesItaly
In The Last Decade
Simon Heumos
13 papers receiving 355 citations
Peers
Comparison fields: 5 of 73
- Genetics 98
- Immunology 70
- Molecular Biology 194
- Plant Science 91
- Paleontology 12
Countries citing papers authored by Simon Heumos
This map shows the geographic impact of Simon Heumos'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 Simon Heumos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simon Heumos more than expected).
Fields of papers citing papers by Simon Heumos
This network shows the impact of papers produced by Simon Heumos. 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 Simon Heumos. The network helps show where Simon Heumos may publish in the future.
Co-authors
The 25 scholars most cited alongside Simon Heumos, 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 | 2020 | 135 | |
| 2 | 2022 | 74 | |
| 3 | 2020 | 42 | |
| 4 | 2019 | 35 | |
| 5 | 2017 | 21 | |
| 6 | 2020 | 13 | |
| 7 | 2019 | 13 | |
| 8 | 2023 | 8 | |
| 9 | 2024 | 6 | |
| 10 | 2024 | 4 | |
| 11 | 2022 | 4 | |
| 12 | 2024 | 3 | |
| 13 | 2024 | 1 |
About Simon Heumos
Simon Heumos is a scholar working on Molecular Biology, Immunology, Neurology, Artificial Intelligence and Genetics, having authored 13 papers that have together received 359 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (4 papers), Genomics and Chromatin Dynamics (2 papers), T-cell and B-cell Immunology (2 papers), Immunotherapy and Immune Responses (2 papers), Bioinformatics and Genomic Networks (2 papers), Gene expression and cancer classification (2 papers), Single-cell and spatial transcriptomics (1 paper) and Neutrophil, Myeloperoxidase and Oxidative Mechanisms (1 paper). The work is most often cited by research in Genetics (98 citations), Immunology (70 citations), Molecular Biology (194 citations), Plant Science (91 citations) and Paleontology (12 citations). Simon Heumos has collaborated with scholars based in Germany, United States and Italy. Frequent co-authors include Erik Garrison, Sven Nahnsen, Pjotr Prins, Andrea Guarracino, Benedict Paten, Jordan M. Eizenga, Adam M. Novak, Glenn Hickey, Shilpa Garg and Josiah Seaman. Their work appears in journals such as Bioinformatics, Frontiers in Immunology, Scientific Reports, PLoS Computational Biology and Cancer Cell International.
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.