Melissa Landrum

29.0k total citations · 3 hit papers
16 papers, 5.2k citations indexed

About

Melissa Landrum is a scholar working on Genetics, Molecular Biology and Cancer Research. According to data from OpenAlex, Melissa Landrum has authored 16 papers receiving a total of 5.2k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Genetics, 6 papers in Molecular Biology and 5 papers in Cancer Research. Recurrent topics in Melissa Landrum's work include Genomics and Rare Diseases (12 papers), Cancer Genomics and Diagnostics (5 papers) and Biomedical Text Mining and Ontologies (4 papers). Melissa Landrum is often cited by papers focused on Genomics and Rare Diseases (12 papers), Cancer Genomics and Diagnostics (5 papers) and Biomedical Text Mining and Ontologies (4 papers). Melissa Landrum collaborates with scholars based in United States, United Kingdom and Sweden. Melissa Landrum's 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 and has published in prestigious journals such as New England Journal of Medicine, Nucleic Acids Research and Nature Genetics.

In The Last Decade

Melissa Landrum

16 papers receiving 5.1k citations

Hit Papers

ClinVar: public archive of relationships among sequence v... 2013 2026 2017 2021 2013 2015 2015 500 1000 1.5k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. ClinVar: public archive of relationships among sequence variation and human phenotype
    2013 2.0k citations Melissa Landrum, Jennifer M. Lee et al. Nucleic Acids Research profile →
  2. ClinVar: public archive of interpretations of clinically relevant variants
    2015 1.7k citations Melissa Landrum, Jennifer M. Lee et al. Nucleic Acids Research profile →
  3. ClinGen — The Clinical Genome Resource
    2015 776 citations Heidi L. Rehm, Jonathan S. Berg et al. New England Journal of Medicine profile →

Peers

Melissa Landrum
Jennifer M. Lee United States
Edward V. Ball United Kingdom
Andrew D. Phillips United Kingdom
Peter D. Stenson United Kingdom
Matthew Mort United Kingdom
Daniel M. Jordan United States
Bernhard Schermer Germany
Andrew J. Mungall Canada
Denise Horn Germany
Carla Rosenberg Brazil
Jennifer M. Lee United States
Melissa Landrum
Citations per year, relative to Melissa Landrum Melissa Landrum (= 1×) peers Jennifer M. Lee

Countries citing papers authored by Melissa Landrum

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

16 of 16 papers shown
1.
Sayers, Eric W, Evan Bolton, Christopher E. Kelly, et al.. (2025). Database resources of the National Center for Biotechnology Information in 2026. Nucleic Acids Research. 54(D1). D20–D27. 1 indexed citations
2.
Landrum, Melissa, Shanmuga Chitipiralla, Kuljeet Kaur, et al.. (2024). ClinVar: updates to support classifications of both germline and somatic variants. Nucleic Acids Research. 53(D1). D1313–D1321. 22 indexed citations
3.
Allot, Alexis, Chih-Hsuan Wei, Lon Phan, et al.. (2023). Tracking genetic variants in the biomedical literature using LitVar 2.0. Nature Genetics. 55(6). 901–903. 13 indexed citations
4.
Azzariti, Danielle R., Erin Rooney Riggs, Annie Niehaus, et al.. (2018). Points to consider for sharing variant-level information from clinical genetic testing with ClinVar. Molecular Case Studies. 4(1). a002345–a002345. 16 indexed citations
5.
Patel, Ronak Y., Andrew R. Jackson, Chris Bizon, et al.. (2018). ClinGen Allele Registry links information about genetic variants. Human Mutation. 39(11). 1690–1701. 25 indexed citations
6.
Landrum, Melissa & B Kattman. (2018). ClinVar at five years: Delivering on the promise. Human Mutation. 39(11). 1623–1630. 120 indexed citations
7.
Savatt, Juliann M., Danielle R. Azzariti, W. Andrew Faucett, et al.. (2018). ClinGen's GenomeConnect registry enables patient‐centered data sharing. Human Mutation. 39(11). 1668–1676. 24 indexed citations
8.
Ritter, Deborah, Sameek Roychowdhury, Angshumoy Roy, et al.. (2016). Somatic cancer variant curation and harmonization through consensus minimum variant level data. Genome Medicine. 8(1). 117–117. 42 indexed citations
9.
Vihinen, Mauno, John M. Hancock, Donna Maglott, et al.. (2016). Human Variome Project Quality Assessment Criteria for Variation Databases. Human Mutation. 37(6). 549–558. 16 indexed citations
10.
Harrison, Steven M., Erin Rooney Riggs, Donna Maglott, et al.. (2016). Using ClinVar as a Resource to Support Variant Interpretation. Current Protocols in Human Genetics. 89(1). 8.16.1–8.16.23. 83 indexed citations
11.
Cooper, Peter, Melissa Landrum, Ilene Karsch‐Mizrachi, & Jane M. Weisemann. (2016). Entrez Sequences Quick Start. 1 indexed citations
12.
Landrum, Melissa, Jennifer M. Lee, Mark J. Benson, et al.. (2015). ClinVar: public archive of interpretations of clinically relevant variants. Nucleic Acids Research. 44(D1). D862–D868. 1717 indexed citations breakdown →
13.
Rehm, Heidi L., Jonathan S. Berg, Lisa Brooks, et al.. (2015). ClinGen — The Clinical Genome Resource. New England Journal of Medicine. 372(23). 2235–2242. 776 indexed citations breakdown →
14.
Landrum, Melissa, Jennifer M. Lee, George Riley, et al.. (2013). ClinVar: public archive of relationships among sequence variation and human phenotype. Nucleic Acids Research. 42(D1). D980–D985. 1956 indexed citations breakdown →
15.
Livingston, Brian T., Christopher E. Killian, Fred H. Wilt, et al.. (2006). A genome-wide analysis of biomineralization-related proteins in the sea urchin Strongylocentrotus purpuratus. Developmental Biology. 300(1). 335–348. 189 indexed citations
16.
Kearns, W.G., Sandra Afione, Marie E. Egan, et al.. (1996). Recombinant adeno-associated virus (AAV-CFTR) vectors do not integrate in a site-specific fashion in an immortalized epithelial cell line.. PubMed. 3(9). 748–55. 152 indexed citations

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.

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