William D. Powlis

1.0k total citations
23 papers, 769 citations indexed

About

William D. Powlis is a scholar working on Radiology, Nuclear Medicine and Imaging, Radiation and Pulmonary and Respiratory Medicine. According to data from OpenAlex, William D. Powlis has authored 23 papers receiving a total of 769 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Radiology, Nuclear Medicine and Imaging, 9 papers in Radiation and 6 papers in Pulmonary and Respiratory Medicine. Recurrent topics in William D. Powlis's work include Advanced Radiotherapy Techniques (9 papers), Medical Imaging Techniques and Applications (5 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). William D. Powlis is often cited by papers focused on Advanced Radiotherapy Techniques (9 papers), Medical Imaging Techniques and Applications (5 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). William D. Powlis collaborates with scholars based in United States and Israel. William D. Powlis's co-authors include Yair Censor, Martin D. Altschuler, Alan S. Weinstein, Walter J. Curran, Alfred R. Smith, Morton M. Kligerman, Diana F. Nelson, Charles Scott, Jennifer Fischbach and Louis S. Constine and has published in prestigious journals such as Cancer, Radiology and International Journal of Radiation Oncology*Biology*Physics.

In The Last Decade

William D. Powlis

23 papers receiving 732 citations

Peers

William D. Powlis
Comparison fields: 5 of 86
  • Pulmonary and Respiratory Medicine 356
  • Radiation 323
  • Radiology, Nuclear Medicine and Imaging 316
  • Genetics 269
  • Epidemiology 104
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Citations per field, relative to William D. Powlis
William D. Powlis · 1×
Citations per year, relative to William D. Powlis
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Countries citing papers authored by William D. Powlis

Since Specialization
Citations

This map shows the geographic impact of William D. Powlis'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 D. Powlis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William D. Powlis more than expected).

Fields of papers citing papers by William D. Powlis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William D. Powlis. 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 D. Powlis. The network helps show where William D. Powlis may publish in the future.

Co-authorship network of co-authors of William D. Powlis

This figure shows the co-authorship network connecting the top 25 collaborators of William D. Powlis. A scholar is included among the top collaborators of William D. Powlis 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 D. Powlis. William D. Powlis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 12
2
4-Hydroperoxycyclophosphamide purged autologous bone marrow transplantation of relapsed, responding non-Hodgkin's lymphoma with granulocyte colony stimulating factor support results in reliable hematopoietic recovery.
1
3 3
4 47
5 139
6 56
7 1
8 27
9 78
10 45
11 85
12 5
13 5
14 51
15 6
16 99
17 1
18 77
19
Metabolic brain imaging correlated with clinical features of brain tumors
4
20 7

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.

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