Janan T. Eppig
- Molecular Biology top 0.05%
- Biomedical Text Mining and Ontologies 39
- Bioinformatics and Genomic Networks 37
- Gene expression and cancer classification 28
- Genomics and Phylogenetic Studies 19
- Single-cell and spatial transcriptomics 12
- Molecular Biology Techniques and Applications 10
- Cancer Research top 0.2%
- Aging top 0.5%
- Genetics top 0.1%
- Genetic Mapping and Diversity in Plants and Animals 14
- Animal Genetics and Reproduction 12
- Immunology top 0.5%
- Co-authors
- Joel E. RichardsonJudith A. BlakeMartin RingwaldDavid P. HillAllan Peter DavisH. ButlerLaurie Issel‐TarverDavid Botstein
- Partner nations
- United StatesUnited KingdomNetherlands
In The Last Decade
Janan T. Eppig
108 papers receiving 36.7k citations
Hit Papers
Peers
Comparison fields: 5 of 210
- Molecular Biology 26.6k
- Cancer Research 3.8k
- Aging 429
- Genetics 5.9k
- Immunology 2.8k
Countries citing papers authored by Janan T. Eppig
This map shows the geographic impact of Janan T. Eppig'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 Janan T. Eppig with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Janan T. Eppig more than expected).
Fields of papers citing papers by Janan T. Eppig
This network shows the impact of papers produced by Janan T. Eppig. 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 Janan T. Eppig. The network helps show where Janan T. Eppig may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Janan T. Eppig, 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 | 2016 | 179 | |
| 2 | 2015 | 80 | |
| 3 | 2012 | 115 | |
| 4 | Waiting for a Robust Disease Ontology: A Merger of OMIM and MeSH as a Practical Interim Solution. | 2011 | 2 |
| 5 | Building the Scientific Knowledge Mine (SciKnowMine1): a Community-driven Framework for Text Mining Tools in Direct Service to Biocuration. Malta | 2010 | 5 |
| 6 | P4-S The Mouse Genome Informatics Database: An Integrated Resource for Mouse Genetics and Genomics. | 2007 | 2 |
| 7 | 2006 | 69 | |
| 8 | 2005 | 6 | |
| 9 | 2004 | 14 | |
| 10 | The Mouse Tumor Biology Database: a public resource for cancer genetics and pathology of the mouse. | 2002 | 40 |
| 11 | 2001 | 41 | |
| 12 | 1999 | 47 | |
| 13 | 1999 | 20 | |
| 14 | 1999 | 34 | |
| 15 | 1998 | 10 | |
| 16 | 1996 | 76 | |
| 17 | 1996 | 16 | |
| 18 | 1992 | 2 | |
| 19 | 1992 | 18 | |
| 20 | 1991 | 6 |
About Janan T. Eppig
Janan T. Eppig is a scholar working on Molecular Biology, Genetics, Biophysics, Cancer Research and Oncology, having authored 109 papers that have together received 37.4k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (39 papers), Bioinformatics and Genomic Networks (37 papers), Gene expression and cancer classification (28 papers), Genomics and Phylogenetic Studies (19 papers), Genetic Mapping and Diversity in Plants and Animals (14 papers), Single-cell and spatial transcriptomics (12 papers), Animal Genetics and Reproduction (12 papers) and Molecular Biology Techniques and Applications (10 papers). The work is most often cited by research in Molecular Biology (26.6k citations), Cancer Research (3.8k citations), Aging (429 citations), Genetics (5.9k citations) and Immunology (2.8k citations). Janan T. Eppig has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Joel E. Richardson, Judith A. Blake, Martin Ringwald, David P. Hill, Allan Peter Davis, H. Butler, Laurie Issel‐Tarver, David Botstein, Andrew Kasarskis and Selina S. Dwight. Their work appears in journals such as Nucleic Acids Research, Mammalian Genome, Genomics, Nature Genetics and Trends in Genetics.
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.