Kenneth R. Schroer
- Oncology top 5%
- Epidemiology top 5%
- Immunology top 10%
- Molecular Biology
- Radiology, Nuclear Medicine and Imaging top 10%
- Co-authors
- Douglas S. ReintgenDavid E. BrilesJoseph M. DavieC. Wayne CruseFrank GlassGary H. LymanMoon H. NahmPhilip J. Baker
- Topics
- Glycosylation and Glycoproteins Research (10 papers)Monoclonal and Polyclonal Antibodies Research (9 papers)Cutaneous Melanoma Detection and Management (8 papers)
- Cited by
- OncologyMicrobiologyImmunology
- Partner nations
- United StatesMalaysiaSweden
In The Last Decade
Kenneth R. Schroer
23 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 84
- Oncology 736
- Epidemiology 574
- Immunology 399
- Molecular Biology 324
- Radiology, Nuclear Medicine and Imaging 212
Countries citing papers authored by Kenneth R. Schroer
This map shows the geographic impact of Kenneth R. Schroer'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 Kenneth R. Schroer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kenneth R. Schroer more than expected).
Fields of papers citing papers by Kenneth R. Schroer
This network shows the impact of papers produced by Kenneth R. Schroer. 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 Kenneth R. Schroer. The network helps show where Kenneth R. Schroer may publish in the future.
Co-authorship network of co-authors of Kenneth R. Schroer
This figure shows the co-authorship network connecting the top 25 collaborators of Kenneth R. Schroer. A scholar is included among the top collaborators of Kenneth R. Schroer 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 Kenneth R. Schroer. Kenneth R. Schroer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 49 | |
| 3 | 10 | |
| 4 | The Orderly Progression of Melanoma Nodal Metastasesbreakdown → | 602 |
| 5 | 97 | |
| 6 | 4 | |
| 7 | 14 | |
| 8 | 18 | |
| 9 | 9 | |
| 10 | 17 | |
| 11 | 4 | |
| 12 | 20 | |
| 13 | 23 | |
| 14 | 29 | |
| 15 | 5 | |
| 16 | 405 | |
| 17 | 149 | |
| 18 | 20 | |
| 19 | 17 | |
| 20 | 43 |
About Kenneth R. Schroer
Kenneth R. Schroer is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology and Hematology, having authored 23 papers that have together received 1.6k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (10 papers), Monoclonal and Polyclonal Antibodies Research (9 papers) and Cutaneous Melanoma Detection and Management (8 papers). The work is most often cited by research in Oncology (736 citations), Microbiology (141 citations) and Immunology (399 citations). Kenneth R. Schroer has collaborated with scholars based in United States, Malaysia and Sweden. Frequent co-authors include Douglas S. Reintgen, David E. Briles, Joseph M. Davie, C. Wayne Cruse, Frank Glass, Gary H. Lyman, Moon H. Nahm, Philip J. Baker, Raúl G. Barletta and John F. Kearney. Their work appears in journals such as Nature, Journal of Biological Chemistry and The Journal of Experimental Medicine.
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.