Krista Smith
Impact in
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- Bioinformatics and Genomic Networks
- Genomics and Phylogenetic Studies
- Biomedical Text Mining and Ontologies
- RNA modifications and cancer
- Glycosylation and Glycoproteins Research
- Gene expression and cancer classification
Papers in
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- Glycosylation and Glycoproteins Research 1
- Congenital heart defects research 1
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- Counseling Practices and Supervision 1
- Co-authors
- Raja Mazumder (3 shared papers)Vahan Simonyan (3 shared papers)Tsung-Jung Wu (2 shared papers)Amirhossein Shamsaddini (1 shared paper)Daniel Crichton (1 shared paper)Yang Pan (1 shared paper)David C. Tam (1 shared paper)Fangping Cai (1 shared paper)
- Journals
- Genes (1 paper)mSphere (1 paper)Database (1 paper)University of North Texas Digital Library (University of North Texas) (1 paper)
- Partner nations
- United States
In The Last Decade
Krista Smith
5 papers receiving 76 citations
Peers
Comparison fields: 5 of 38
- General Decision Sciences 2
- Molecular Biology 50
- Cancer Research 10
- Immunology and Allergy 3
- Information Systems and Management 4
Countries citing papers authored by Krista Smith
This map shows the geographic impact of Krista Smith'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 Krista Smith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Krista Smith more than expected).
Fields of papers citing papers by Krista Smith
This network shows the impact of papers produced by Krista Smith. 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 Krista Smith. The network helps show where Krista Smith may publish in the future.
Co-authors
The 20 scholars most cited alongside Krista Smith, 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 | 2014 | 59 | |
| 2 | 2014 | 14 | |
| 3 | 2014 | 4 | |
| 4 | 2020 | 2 | |
| 5 | Experiences with Classism: A Look at Social Class in a Rural High School. | 2015 | 1 |
About Krista Smith
Krista Smith is a scholar working on Molecular Biology, Social Psychology, Cardiology and Cardiovascular Medicine, Virology and Sociology and Political Science, having authored 5 papers that have together received 80 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (1 paper), Experimental Behavioral Economics Studies (1 paper), Cancer Genomics and Diagnostics (1 paper), Peptidase Inhibition and Analysis (1 paper), Counseling Practices and Supervision (1 paper), Cardiovascular Function and Risk Factors (1 paper), Congenital heart defects research (1 paper) and Teacher Education and Leadership Studies (1 paper). The work is most often cited by research in General Decision Sciences (2 citations), Molecular Biology (50 citations), Cancer Research (10 citations), Immunology and Allergy (3 citations) and Information Systems and Management (4 citations). Krista Smith has collaborated with scholars based in United States. Frequent co-authors include Raja Mazumder, Vahan Simonyan, Tsung-Jung Wu, Amirhossein Shamsaddini, Daniel Crichton, Yang Pan, David C. Tam, Fangping Cai, Thomas N. Denny and Mars Stone. Their work appears in journals such as Genes, mSphere, Database and University of North Texas Digital Library (University of North Texas).
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.