Jeffrey Vacirca

1.0k citations
32 papers · 756 · h-index 9

Impact in

    • Protease and Inhibitor Mechanisms
  • Oncology top 10%
    • Peptidase Inhibition and Analysis
    • Pancreatic and Hepatic Oncology Research
    • Cancer Immunotherapy and Biomarkers
    • CAR-T cell therapy research

Papers in

Jeffrey Vacirca

29 papers receiving 737 citations

Peers

Jeffrey Vacirca
Comparison fields: 5 of 76
  • Cancer Research 215
  • Oncology 281
  • Pathology and Forensic Medicine 111
  • Immunology and Allergy 38
  • Genetics 42
Replace Yun-Fei Xia with:
Yun-Fei Xia China
Kun-Tu Yeh Taiwan
Verena Materna Germany
Eva Groß Germany
Philipp Manegold United States
Carrie A. Franzen United States
Saadia Faouzi United States
Wenwen Chien United States
Shazli N. Malik United States
Jinah Park South Korea
Jeffrey Vacirca relative to Yun-Fei Xia China Yun-Fei Xia's profile →
Citations per field
00.5×1.5×
Yun-Fei Xia · 1×
Citations per year

Countries citing papers authored by Jeffrey Vacirca

Since Specialization
Citations

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

Fields of papers citing papers by Jeffrey Vacirca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003436
2 201575
3 201374
4 201842
5 201621
6 201617
7 201011
8 201810
9 20189
10 20187
11 20176
12 20135
13 20145
14 20105
15 20055
16 20194
17 20093
18 20173
19 20103
20
The 340b drug discount program: oncology's optical illusion.
20133

About Jeffrey Vacirca

Jeffrey Vacirca is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Genetics, Surgery and Cancer Research, having authored 32 papers that have together received 756 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (10 papers), Prostate Cancer Treatment and Research (6 papers), Nausea and vomiting management (5 papers), Lymphoma Diagnosis and Treatment (5 papers), Chronic Lymphocytic Leukemia Research (5 papers), Cancer Genomics and Diagnostics (4 papers), Cancer Treatment and Pharmacology (3 papers) and CAR-T cell therapy research (3 papers). The work is most often cited by research in Cancer Research (215 citations), Oncology (281 citations), Pathology and Forensic Medicine (111 citations), Immunology and Allergy (38 citations) and Genetics (42 citations). Jeffrey Vacirca has collaborated with scholars based in United States, United Kingdom and Poland. Frequent co-authors include Stanley Zucker, Imad A. Tabbara, Péter Ács, Peter J. Rosen, Peter P. Lee, Tanios Bekaii‐Saab, Philip J. Stephens, Xiucai Hu, Samuel J. Klempner and Kai Wang. Their work appears in journals such as Journal of Clinical Oncology, Blood, Future Oncology, Cancer Research and Annals of Hematology.

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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