Hilmar Lapp
Impact in
- Molecular Biology top 2%
- Gene expression and cancer classification
- Bioinformatics and Genomic Networks
- Genomics and Chromatin Dynamics
- Genomics and Phylogenetic Studies
- Biomedical Text Mining and Ontologies
- RNA Research and Splicing
- RNA modifications and cancer
- RNA and protein synthesis mechanisms
- Ecological Modeling top 5%
Papers in
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- Species Distribution and Climate Change 10
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- Scientific Computing and Data Management 6
- Co-authors
- Andrew I. SuJohn B. HogeneschJohn R. WalkerM. CookeKeith A. ChingSerge BatalovDavid E. BlockTim Wiltshire
- Journals
- Systematic Biology (5 papers)Methods in Ecology and Evolution (4 papers)PLoS ONE (4 papers)Molecular Ecology Resources (3 papers)Database (3 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Hilmar Lapp
57 papers receiving 4.4k citations
Hit Papers
Peers
Comparison fields: 5 of 170
- Molecular Biology 3.1k
- Ecological Modeling 170
- Cancer Research 389
- Genetics 682
- Immunology 389
Countries citing papers authored by Hilmar Lapp
This map shows the geographic impact of Hilmar Lapp'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 Hilmar Lapp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hilmar Lapp more than expected).
Fields of papers citing papers by Hilmar Lapp
This network shows the impact of papers produced by Hilmar Lapp. 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 Hilmar Lapp. The network helps show where Hilmar Lapp may publish in the future.
Co-authors
The 25 scholars most cited alongside Hilmar Lapp, 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 | 2024 | 1 | |
| 2 | 2023 | 3 | |
| 3 | 2022 | 5 | |
| 4 | 2019 | 11 | |
| 5 | Reasoning over Anatomical Homology in the Phenoscape KB. | 2018 | 1 |
| 6 | 2018 | 33 | |
| 7 | 2016 | 2 | |
| 8 | 2015 | 2 | |
| 9 | 2014 | 11 | |
| 10 | 2013 | 27 | |
| 11 | 2013 | 1 | |
| 12 | 2012 | 3 | |
| 13 | 2012 | 28 | |
| 14 | Integrating Anatomy and Phenotype Ontologies with Taxonomic Hierarchies. | 2011 | 1 |
| 15 | 2011 | 7 | |
| 16 | 2011 | 32 | |
| 17 | 2010 | 65 | |
| 18 | 2010 | 48 | |
| 19 | 2005 | 107 | |
| 20 | A gene atlas of the mouse and human protein-encoding transcriptomes Hit paper breakdown → | 2004 | 2820 |
About Hilmar Lapp
Hilmar Lapp is a scholar working on Ecological Modeling, Information Systems and Management, Molecular Biology, Biophysics and Genetics, having authored 59 papers that have together received 4.5k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (22 papers), Genomics and Phylogenetic Studies (21 papers), Species Distribution and Climate Change (10 papers), Bioinformatics and Genomic Networks (9 papers), Semantic Web and Ontologies (9 papers), Genetics, Bioinformatics, and Biomedical Research (7 papers), Gene expression and cancer classification (6 papers) and Scientific Computing and Data Management (6 papers). The work is most often cited by research in Molecular Biology (3.1k citations), Ecological Modeling (170 citations), Cancer Research (389 citations), Genetics (682 citations) and Immunology (389 citations). Hilmar Lapp has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Andrew I. Su, John B. Hogenesch, John R. Walker, M. Cooke, Keith A. Ching, Serge Batalov, David E. Block, Tim Wiltshire, Gabriel Kreiman and Jie Zhang. Their work appears in journals such as Systematic Biology, Methods in Ecology and Evolution, PLoS ONE, Molecular Ecology Resources and Database.
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.