Jane Lomax
Impact in
- Artificial Intelligence top 2%
- Semantic Web and Ontologies
- Natural Language Processing Techniques
- Molecular Biology top 10%
- Biomedical Text Mining and Ontologies
- Bioinformatics and Genomic Networks
- Genomics and Phylogenetic Studies
- Gene expression and cancer classification
Papers in
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- Biomedical Text Mining and Ontologies 20
- Bioinformatics and Genomic Networks 18
- Genomics and Phylogenetic Studies 6
- Genetics, Bioinformatics, and Biomedical Research 3
- Protist diversity and phylogeny 2
- Microbial Metabolic Engineering and Bioproduction 2
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- Semantic Web and Ontologies 11
- Co-authors
- Chris MungallBarry SmithJacob KöhlerAnand KumarCornelius RosseBert R. E. KlaggesFabian NeuhausWerner Ceusters
- Journals
- Journal of Biomedical Semantics (4 papers)BMC Bioinformatics (3 papers)PLoS ONE (2 papers)Comparative and Functional Genomics (2 papers)Frontiers in Microbiology (2 papers)
- Partner nations
- United KingdomUnited StatesSwitzerland
In The Last Decade
Jane Lomax
31 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 139
- Artificial Intelligence 661
- Molecular Biology 1.1k
- Information Systems and Management 64
- Health Information Management 28
- Ecological Modeling 24
Countries citing papers authored by Jane Lomax
This map shows the geographic impact of Jane Lomax'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 Jane Lomax with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jane Lomax more than expected).
Fields of papers citing papers by Jane Lomax
This network shows the impact of papers produced by Jane Lomax. 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 Jane Lomax. The network helps show where Jane Lomax may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jane Lomax, 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 | 2023 | 0 | |
| 2 | 2019 | 22 | |
| 3 | 2017 | 7 | |
| 4 | 2017 | 5 | |
| 5 | 2016 | 22 | |
| 6 | 2015 | 24 | |
| 7 | 2014 | 22 | |
| 8 | 2014 | 12 | |
| 9 | 2014 | 18 | |
| 10 | 2014 | 67 | |
| 11 | 2014 | 27 | |
| 12 | 2013 | 40 | |
| 13 | 2013 | 36 | |
| 14 | 2011 | 32 | |
| 15 | 2010 | 89 | |
| 16 | 2009 | 56 | |
| 17 | 2005 | 71 | |
| 18 | Relations in biomedical ontologies Hit paper breakdown → | 2005 | 653 |
| 19 | Mapping the Gene Ontology into the Unified Medical Language System: Research Papers | 2004 | 2 |
| 20 | 2004 | 28 |
About Jane Lomax
Jane Lomax is a scholar working on Molecular Biology, Artificial Intelligence, Genetics, Information Systems and Management and Ecology, having authored 32 papers that have together received 1.4k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (20 papers), Bioinformatics and Genomic Networks (18 papers), Semantic Web and Ontologies (11 papers), Genomics and Phylogenetic Studies (6 papers), Genetics, Bioinformatics, and Biomedical Research (3 papers), Genomics and Rare Diseases (2 papers), Protist diversity and phylogeny (2 papers) and Microbial Metabolic Engineering and Bioproduction (2 papers). The work is most often cited by research in Artificial Intelligence (661 citations), Molecular Biology (1.1k citations), Information Systems and Management (64 citations), Health Information Management (28 citations) and Ecological Modeling (24 citations). Jane Lomax has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include Chris Mungall, Barry Smith, Jacob Köhler, Anand Kumar, Cornelius Rosse, Bert R. E. Klagges, Fabian Neuhaus, Werner Ceusters, Alan Rector and David P. Hill. Their work appears in journals such as Journal of Biomedical Semantics, BMC Bioinformatics, PLoS ONE, Comparative and Functional Genomics and Frontiers in Microbiology.
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.