Carol J. Wikstrand
- Molecular Biology top 2%
- Oncology top 0.5%
- Genetics top 0.2%
- Radiology, Nuclear Medicine and Imaging top 0.5%
- Immunology top 1%
- Co-authors
- Darell D. BignerHenry S. FriedmanRoger E. McLendonAllan H. FriedmanSandra H. BignerSurinder K. BatraMichael R. ZalutskyChien‐Tsun Kuan
- Topics
- Monoclonal and Polyclonal Antibodies Research (39 papers)Radiopharmaceutical Chemistry and Applications (28 papers)Glycosylation and Glycoproteins Research (26 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Clinical Oncology
- Partner nations
- United StatesSwedenSwitzerland
In The Last Decade
Carol J. Wikstrand
105 papers receiving 7.3k citations
Hit Papers
Peers
Comparison fields: 5 of 118
- Molecular Biology 3.3k
- Oncology 2.7k
- Genetics 2.0k
- Radiology, Nuclear Medicine and Imaging 1.9k
- Immunology 1.6k
Countries citing papers authored by Carol J. Wikstrand
This map shows the geographic impact of Carol J. Wikstrand'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 Carol J. Wikstrand with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carol J. Wikstrand more than expected).
Fields of papers citing papers by Carol J. Wikstrand
This network shows the impact of papers produced by Carol J. Wikstrand. 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 Carol J. Wikstrand. The network helps show where Carol J. Wikstrand may publish in the future.
Co-authorship network of co-authors of Carol J. Wikstrand
This figure shows the co-authorship network connecting the top 25 collaborators of Carol J. Wikstrand. A scholar is included among the top collaborators of Carol J. Wikstrand 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 Carol J. Wikstrand. Carol J. Wikstrand is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 58 | |
| 2 | 5 | |
| 3 | 26 | |
| 4 | 37 | |
| 5 | 18 | |
| 6 | 247 | |
| 7 | 42 | |
| 8 | 7 | |
| 9 | 96 | |
| 10 | 92 | |
| 11 | 14 | |
| 12 | 47 | |
| 13 | 24 | |
| 14 | 13 | |
| 15 | 48 | |
| 16 | 36 | |
| 17 | 19 | |
| 18 | 26 | |
| 19 | 74 | |
| 20 | 8 |
About Carol J. Wikstrand
Carol J. Wikstrand is a scholar working on Radiology, Nuclear Medicine and Imaging, Immunology and Allergy and Immunology, having authored 105 papers that have together received 7.5k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (39 papers), Radiopharmaceutical Chemistry and Applications (28 papers) and Glycosylation and Glycoproteins Research (26 papers). The work is most often cited by research in Genetics (2.0k citations), Oncology (2.7k citations) and Immunology and Allergy (532 citations). Carol J. Wikstrand has collaborated with scholars based in United States, Sweden and Switzerland. Frequent co-authors include Darell D. Bigner, Henry S. Friedman, Roger E. McLendon, Allan H. Friedman, Sandra H. Bigner, Surinder K. Batra, Michael R. Zalutsky, Chien‐Tsun Kuan, Charles N. Pegram and Gary E. Archer. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Oncology.
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.