Kimberly A. Marshall
- Molecular Biology top 0.5%
- Cancer Research top 0.5%
- Pulmonary and Respiratory Medicine top 2%
- Immunology top 2%
- Genetics top 2%
- Co-authors
- Irene F. KimKatherine PhillippyPierre LedouxTanya BarrettMichelle HolkoHyeseung LeeCarlos EvangelistaNaigong Zhang
- Topics
- Genetic diversity and population structure (5 papers)Genomics and Phylogenetic Studies (4 papers)Gene expression and cancer classification (3 papers)
- Partner nations
- United States
In The Last Decade
Kimberly A. Marshall
12 papers receiving 9.1k citations
Hit Papers
Peers
Comparison fields: 5 of 161
- Molecular Biology 6.5k
- Cancer Research 2.0k
- Pulmonary and Respiratory Medicine 1.3k
- Immunology 996
- Genetics 994
Countries citing papers authored by Kimberly A. Marshall
This map shows the geographic impact of Kimberly A. Marshall'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 Kimberly A. Marshall with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kimberly A. Marshall more than expected).
Fields of papers citing papers by Kimberly A. Marshall
This network shows the impact of papers produced by Kimberly A. Marshall. 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 Kimberly A. Marshall. The network helps show where Kimberly A. Marshall may publish in the future.
Co-authorship network of co-authors of Kimberly A. Marshall
This figure shows the co-authorship network connecting the top 25 collaborators of Kimberly A. Marshall. A scholar is included among the top collaborators of Kimberly A. Marshall 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 Kimberly A. Marshall. Kimberly A. Marshall is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | NCBI GEO: archive for gene expression and epigenomics data sets: 23-year updatebreakdown → | 137 |
| 2 | NCBI GEO: archive for functional genomics data sets—updatebreakdown → | 7062 |
| 3 | NCBI GEO: archive for functional genomics data sets--10 years onbreakdown → | 863 |
| 4 | NCBI GEO: archive for high-throughput functional genomic databreakdown → | 786 |
| 5 | 72 | |
| 6 | 58 | |
| 7 | 20 | |
| 8 | 20 | |
| 9 | 26 | |
| 10 | 17 | |
| 11 | 60 | |
| 12 | 125 |
About Kimberly A. Marshall
Kimberly A. Marshall is a scholar working on Genetics, Nature and Landscape Conservation and Ecology, Evolution, Behavior and Systematics, having authored 12 papers that have together received 9.2k indexed citations. Recurring topics across this work include Genetic diversity and population structure (5 papers), Genomics and Phylogenetic Studies (4 papers) and Gene expression and cancer classification (3 papers). The work is most often cited by research in Cancer Research (2.0k citations), Molecular Biology (6.5k citations) and Immunology (996 citations). Kimberly A. Marshall has collaborated with scholars based in United States. Frequent co-authors include Irene F. Kim, Katherine Phillippy, Pierre Ledoux, Tanya Barrett, Michelle Holko, Hyeseung Lee, Carlos Evangelista, Naigong Zhang, Sean Davis and S. E. Wilhite. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and 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.