Caitlyn T. Solem
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- Antibiotic Use and Resistance 10
- Clinical Biochemistry top 5%
- Bacterial Identification and Susceptibility Testing 8
- Infectious Diseases top 10%
- Antimicrobial Resistance in Staphylococcus 15
- Hematology top 10%
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- Economic and Financial Impacts of Cancer 9
- Health Systems, Economic Evaluations, Quality of Life 9
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- Chronic Obstructive Pulmonary Disease (COPD) Research 7
- Lung Cancer Treatments and Mutations 5
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- Pancreatic and Hepatic Oncology Research 5
- Co-authors
- Jennifer StephensCynthia MacahiligChristian EckmannClaudie CharbonneauMarc BottemanSajjad HaiderShelby CormanNathalie Baillon-Plot
- Journals
- Journal of Clinical Oncology (3 papers)SHILAP Revista de lepidopterología (1 paper)Blood (1 paper)
- Partner nations
- United StatesUnited KingdomFrance
In The Last Decade
Caitlyn T. Solem
67 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 107
- Applied Microbiology and Biotechnology 117
- Clinical Biochemistry 100
- Infectious Diseases 239
- Hematology 118
- Public Health, Environmental and Occupational Health 233
Countries citing papers authored by Caitlyn T. Solem
This map shows the geographic impact of Caitlyn T. Solem'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 Caitlyn T. Solem with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Caitlyn T. Solem more than expected).
Fields of papers citing papers by Caitlyn T. Solem
This network shows the impact of papers produced by Caitlyn T. Solem. 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 Caitlyn T. Solem. The network helps show where Caitlyn T. Solem may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Caitlyn T. Solem, 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 | 2023 | 3 | |
| 2 | 2022 | 7 | |
| 3 | 2020 | 39 | |
| 4 | 2020 | 2 | |
| 5 | 2020 | 1 | |
| 6 | 2019 | 15 | |
| 7 | 2019 | 11 | |
| 8 | 2017 | 22 | |
| 9 | 2016 | 2 | |
| 10 | 2016 | 7 | |
| 11 | 2016 | 8 | |
| 12 | 2015 | 4 | |
| 13 | 2015 | 1 | |
| 14 | 2015 | 18 | |
| 15 | 2014 | 2 | |
| 16 | 2014 | 4 | |
| 17 | 2013 | 9 | |
| 18 | 2013 | 2 | |
| 19 | 2012 | 4 | |
| 20 | 2012 | 51 |
About Caitlyn T. Solem
Caitlyn T. Solem is a scholar working on Applied Microbiology and Biotechnology, Clinical Biochemistry and Infectious Diseases, having authored 70 papers that have together received 1.1k indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (15 papers), Antibiotic Use and Resistance (10 papers), Economic and Financial Impacts of Cancer (9 papers), Health Systems, Economic Evaluations, Quality of Life (9 papers), Bacterial Identification and Susceptibility Testing (8 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (7 papers), Pancreatic and Hepatic Oncology Research (5 papers) and Lung Cancer Treatments and Mutations (5 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (117 citations), Clinical Biochemistry (100 citations) and Infectious Diseases (239 citations). Caitlyn T. Solem has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Jennifer Stephens, Cynthia Macahilig, Christian Eckmann, Claudie Charbonneau, Marc Botteman, Sajjad Haider, Shelby Corman, Nathalie Baillon-Plot, Matthew Dryden and Vijay R. Nadipelli. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.
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.