Mark Salvati

2.8k citations
50 papers · 1.1k · h-index 15

Impact in

Papers in

Mark Salvati

47 papers receiving 1.0k citations

Peers

Mark Salvati
Comparison fields: 5 of 73
  • Endocrinology, Diabetes and Metabolism 362
  • Pulmonary and Respiratory Medicine 433
  • Genetics 364
  • Organic Chemistry 195
  • Oncology 160
Replace Tadas S. Vasaitis with:
Tadas S. Vasaitis United States
Venkatesh Handratta United States
Lalji K. Gediya United States
Masuo Yamaoka Japan
Yongmi An United States
Nada Lallous Canada
Jenny Roy Canada
C. David Jones United States
S. Elaine Barrie United Kingdom
Craig Marhefka United States
Mark Salvati relative to Tadas S. Vasaitis United States Tadas S. Vasaitis's profile →
Citations per field
00.5×1.5×
Tadas S. Vasaitis · 1×
Citations per year

Countries citing papers authored by Mark Salvati

Since Specialization
Citations

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

Fields of papers citing papers by Mark Salvati

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mark Salvati, 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 Salvati Line = papers co-authored together Mark Salvati links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001388
2 1992104
3 201093
4 200452
5 200647
6 200941
7 200437
8 201029
9 200427
10 201821
11 200821
12 200521
13 202020
14 200720
15 200720
16 201814
17 201412
18 202111
19 202111
20 201211

About Mark Salvati

Mark Salvati is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Molecular Biology and Endocrinology, Diabetes and Metabolism, having authored 50 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (16 papers), CAR-T cell therapy research (14 papers), Prostate Cancer Treatment and Research (10 papers), Hormonal and reproductive studies (7 papers), Radiopharmaceutical Chemistry and Applications (7 papers), Estrogen and related hormone effects (6 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and Lung Cancer Treatments and Mutations (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (362 citations), Pulmonary and Respiratory Medicine (433 citations), Genetics (364 citations), Organic Chemistry (195 citations) and Oncology (160 citations). Mark Salvati has collaborated with scholars based in United States, Australia and Germany. Frequent co-authors include Ricardo M. Attar, Roberto Weinmann, Stanley R. Krystek, John S. Sack, Yongmi An, Kevin Kish, Michael Nguyen, Robert W. Armstrong, Chihuei Wang and Susan E. Kiefer. Their work appears in journals such as Journal of Clinical Oncology, Bioorganic & Medicinal Chemistry Letters, Blood, Cancer Research and Annals of 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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