Mark D. Savellano

574 citations
14 papers · 492 · h-index 11

Impact in

Papers in

Mark D. Savellano

14 papers receiving 478 citations

Peers

Mark D. Savellano
Comparison fields: 5 of 70
  • Pulmonary and Respiratory Medicine 333
  • Biomedical Engineering 339
  • Biotechnology 59
  • Radiology, Nuclear Medicine and Imaging 91
  • Cancer Research 51
Replace Ray R. Zhang with:
Ray R. Zhang United States
Е. В. Филоненко Russia
Daniel R. Draney United States
Toshiko Harada United States
Hidetoshi Honda Japan
Bangwen Xie United Kingdom
Nicholas J. Oberhelman United States
Stephen M. Waldow United States
Yu Nakamura Japan
W S Chan United Kingdom
Mark D. Savellano relative to Ray R. Zhang United States Ray R. Zhang's profile →
Citations per field
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Ray R. Zhang · 1×
Citations per year

Countries citing papers authored by Mark D. Savellano

Since Specialization
Citations

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

Fields of papers citing papers by Mark D. Savellano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mark D. Savellano, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mark D. Savellano Line = papers co-authored together Mark D. Savellano links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 200385
2 200581
3 200570
4 201263
5 200451
6 200842
7 200429
8
Targeting Cells That Overexpress the Epidermal Growth Factor Receptor with Polyethylene Glycolated BPD Verteporfin Photosensitizer Immunoconjugates
200321
9 200713
10 200212
11 199411
12 20129
13 19933
14 20102

About Mark D. Savellano

Mark D. Savellano is a scholar working on Pulmonary and Respiratory Medicine, Biomedical Engineering, Radiology, Nuclear Medicine and Imaging, Immunology and Electrical and Electronic Engineering, having authored 14 papers that have together received 492 indexed citations. Recurring topics across this work include Photodynamic Therapy Research Studies (9 papers), Nanoplatforms for cancer theranostics (6 papers), Immunotherapy and Immune Responses (3 papers), Cancer, Hypoxia, and Metabolism (2 papers), MRI in cancer diagnosis (2 papers), Semiconductor materials and devices (2 papers), Advanced MRI Techniques and Applications (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (333 citations), Biomedical Engineering (339 citations), Biotechnology (59 citations), Radiology, Nuclear Medicine and Imaging (91 citations) and Cancer Research (51 citations). Mark D. Savellano has collaborated with scholars based in United States, United Kingdom and Norway. Frequent co-authors include Tayyaba Hasan, Brian W. Pogue, P. Jack Hoopes, Ellen S. Vitetta, Keith D. Paulsen, Bin Chen, Summer L. Gibbs, Ralph Weissleder, Weiping Yu and Adnan O. Abu‐Yousif. Their work appears in journals such as Photochemistry and Photobiology, Technology in Cancer Research & Treatment, Cancer Research, Clinical Cancer Research and Magnetic Resonance in 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.

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