William P. Schiemann
- Molecular Biology top 0.5%
- Oncology top 0.5%
- Cancer Research top 0.5%
- Immunology top 2%
- Pulmonary and Respiratory Medicine top 2%
- Co-authors
- Harvey F. LodishGerard C. BlobeMichael K. WendtMaozhen TianMolly A. TaylorJason R. NeilJenny G. ParvaniAllan R. Albig
- Topics
- TGF-β signaling in diseases (45 papers)Cancer Cells and Metastasis (38 papers)Cell Adhesion Molecules Research (25 papers)
- Journals
- New England Journal of MedicineProceedings of the National Academy of SciencesJournal of Biological Chemistry
- Partner nations
- United StatesBrazilDenmark
In The Last Decade
William P. Schiemann
129 papers receiving 11.0k citations
Hit Papers
Peers
Comparison fields: 5 of 145
- Molecular Biology 6.8k
- Oncology 3.5k
- Cancer Research 2.4k
- Immunology 1.3k
- Pulmonary and Respiratory Medicine 1.3k
Countries citing papers authored by William P. Schiemann
This map shows the geographic impact of William P. Schiemann'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 William P. Schiemann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William P. Schiemann more than expected).
Fields of papers citing papers by William P. Schiemann
This network shows the impact of papers produced by William P. Schiemann. 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 William P. Schiemann. The network helps show where William P. Schiemann may publish in the future.
Co-authorship network of co-authors of William P. Schiemann
This figure shows the co-authorship network connecting the top 25 collaborators of William P. Schiemann. A scholar is included among the top collaborators of William P. Schiemann 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 William P. Schiemann. William P. Schiemann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 5 | |
| 3 | 2 | |
| 4 | 18 | |
| 5 | 10 | |
| 6 | 14 | |
| 7 | 142 | |
| 8 | 55 | |
| 9 | 65 | |
| 10 | 106 | |
| 11 | 46 | |
| 12 | 4 | |
| 13 | 92 | |
| 14 | 171 | |
| 15 | 196 | |
| 16 | 69 | |
| 17 | 114 | |
| 18 | 205 | |
| 19 | 104 | |
| 20 | 58 |
About William P. Schiemann
William P. Schiemann is a scholar working on Immunology and Allergy, Cancer Research and Oncology, having authored 132 papers that have together received 11.1k indexed citations. Recurring topics across this work include TGF-β signaling in diseases (45 papers), Cancer Cells and Metastasis (38 papers) and Cell Adhesion Molecules Research (25 papers). The work is most often cited by research in Immunology and Allergy (1.0k citations), Cancer Research (2.4k citations) and Oncology (3.5k citations). William P. Schiemann has collaborated with scholars based in United States, Brazil and Denmark. Frequent co-authors include Harvey F. Lodish, Gerard C. Blobe, Michael K. Wendt, Maozhen Tian, Molly A. Taylor, Jason R. Neil, Jenny G. Parvani, Allan R. Albig, Barbara J. Schiemann and Tressa M. Allington. Their work appears in journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.