Ray R. Zhang

904 citations
17 papers · 706 indexed · 1 hit paper · h-index 11
Topics
Glioma Diagnosis and Treatment (6 papers)Nanoplatforms for cancer theranostics (4 papers)Medical Imaging Techniques and Applications (3 papers)

In The Last Decade

Ray R. Zhang

17 papers receiving 697 citations

Hit Papers

Beyond the margins: real-time detection of cancer using t...20172026202020232017100200300

Peers

Ray R. Zhang
Comparison fields: 5 of 85
  • Biomedical Engineering 352
  • Pulmonary and Respiratory Medicine 190
  • Molecular Biology 160
  • Radiology, Nuclear Medicine and Imaging 135
  • Materials Chemistry 135
Replace Joseph J. Grudzinski with:
Joseph J. Grudzinski United States
Everett J. Moding United States
Camille Verry France
Fiona Hegi‐Johnson Australia
Brian Madajewski United States
Mihaela Ghita United Kingdom
Sarah Tucker Marrison United States
Katherine Tkaczuk United States
Nadia Falzone United Kingdom
Franck Lacœuille France
Ray R. Zhang relative to Joseph J. Grudzinski United States Joseph J. Grudzinski's profile →
Citations per field
00.5×2.7×
Joseph J. Grudzinski · 1×
Citations per year

Countries citing papers authored by Ray R. Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Ray R. Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ray R. Zhang. 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 Ray R. Zhang. The network helps show where Ray R. Zhang may publish in the future.

Co-authorship network of co-authors of Ray R. Zhang

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

All Works

17 of 17 papers shown
#WorkIndexed citations
1 3
2 2
3 10
4 35
5 11
6
Beyond the margins: real-time detection of cancer using targeted fluorophoresbreakdown →
383
7 1
8 12
9 3
10 31
11 16
12 1
13 57
14 27
15 28
16 7
17 79

About Ray R. Zhang

Ray R. Zhang is a scholar working on Genetics, Radiation and Biophysics, having authored 17 papers that have together received 706 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (6 papers), Nanoplatforms for cancer theranostics (4 papers) and Medical Imaging Techniques and Applications (3 papers). The work is most often cited by research in Radiation (115 citations), Genetics (90 citations) and Biomedical Engineering (352 citations). Ray R. Zhang has collaborated with scholars based in United States, Sweden and Taiwan. Frequent co-authors include John S. Kuo, Jamey P. Weichert, Anatoly N. Pinchuk, Jason M. Warram, Eben L. Rosenthal, Joseph J. Grudzinski, Kevin W. Eliceiri, Geoffrey Zhang, Vladimir Feygelman and Paul A. Clark. Their work appears in journals such as Neurosurgery, Acta Neuropathologica and Nature Reviews 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.

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