Melissa Landrum
- Molecular Biology top 2%
- Genetics top 0.5%
- Cancer Research top 2%
- Pathology and Forensic Medicine top 5%
- Cardiology and Cardiovascular Medicine top 5%
- Co-authors
- Donna MaglottJennifer M. LeeWonhee JangGeorge RileyWendy S. RubinsteinDeanna M. ChurchJennifer HartShanmuga Chitipiralla
- Topics
- Genomics and Rare Diseases (12 papers)Cancer Genomics and Diagnostics (5 papers)Biomedical Text Mining and Ontologies (4 papers)
- Partner nations
- United StatesUnited KingdomSweden
In The Last Decade
Melissa Landrum
16 papers receiving 5.1k citations
Hit Papers
Peers
Comparison fields: 5 of 139
- Molecular Biology 3.0k
- Genetics 2.6k
- Cancer Research 983
- Pathology and Forensic Medicine 422
- Cardiology and Cardiovascular Medicine 335
Countries citing papers authored by Melissa Landrum
This map shows the geographic impact of Melissa Landrum'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 Melissa Landrum with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Melissa Landrum more than expected).
Fields of papers citing papers by Melissa Landrum
This network shows the impact of papers produced by Melissa Landrum. 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 Melissa Landrum. The network helps show where Melissa Landrum may publish in the future.
Co-authorship network of co-authors of Melissa Landrum
This figure shows the co-authorship network connecting the top 25 collaborators of Melissa Landrum. A scholar is included among the top collaborators of Melissa Landrum based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Melissa Landrum. Melissa Landrum is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 22 | |
| 3 | 13 | |
| 4 | 16 | |
| 5 | 25 | |
| 6 | 120 | |
| 7 | 24 | |
| 8 | 42 | |
| 9 | 16 | |
| 10 | 83 | |
| 11 | Entrez Sequences Quick Start | 1 |
| 12 | ClinVar: public archive of interpretations of clinically relevant variantsbreakdown → | 1717 |
| 13 | ClinGen — The Clinical Genome Resourcebreakdown → | 776 |
| 14 | ClinVar: public archive of relationships among sequence variation and human phenotypebreakdown → | 1956 |
| 15 | 189 | |
| 16 | Recombinant adeno-associated virus (AAV-CFTR) vectors do not integrate in a site-specific fashion in an immortalized epithelial cell line. | 152 |
About Melissa Landrum
Melissa Landrum is a scholar working on Genetics, Cancer Research and Aquatic Science, having authored 16 papers that have together received 5.2k indexed citations. Recurring topics across this work include Genomics and Rare Diseases (12 papers), Cancer Genomics and Diagnostics (5 papers) and Biomedical Text Mining and Ontologies (4 papers). The work is most often cited by research in Genetics (2.6k citations), Cancer Research (983 citations) and Molecular Biology (3.0k citations). Melissa Landrum has collaborated with scholars based in United States, United Kingdom and Sweden. Frequent co-authors include Donna Maglott, Jennifer M. Lee, Wonhee Jang, George Riley, Wendy S. Rubinstein, Deanna M. Church, Jennifer Hart, Shanmuga Chitipiralla, Douglas Hoffman and Chao Chen. Their work appears in journals such as New England Journal of Medicine, Nucleic Acids Research and Nature 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.