Frank J. Lowery

4.6k total citations · 1 hit paper
26 papers, 1.1k citations indexed

About

Frank J. Lowery is a scholar working on Oncology, Molecular Biology and Immunology. According to data from OpenAlex, Frank J. Lowery has authored 26 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Oncology, 10 papers in Molecular Biology and 10 papers in Immunology. Recurrent topics in Frank J. Lowery's work include CAR-T cell therapy research (12 papers), Immunotherapy and Immune Responses (9 papers) and Cancer Immunotherapy and Biomarkers (8 papers). Frank J. Lowery is often cited by papers focused on CAR-T cell therapy research (12 papers), Immunotherapy and Immune Responses (9 papers) and Cancer Immunotherapy and Biomarkers (8 papers). Frank J. Lowery collaborates with scholars based in United States, Israel and Taiwan. Frank J. Lowery's co-authors include Dihua Yu, Paul F. Robbins, Steven A. Rosenberg, Jared J. Gartner, Todd D. Prickett, Maria R. Parkhurst, Stephanie L. Goff, Biman C. Paria, Rami Yossef and Ayşegül A. Şahin and has published in prestigious journals such as Journal of Clinical Investigation, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Frank J. Lowery

23 papers receiving 1.1k citations

Hit Papers

mRNA vaccine–induced neoantigen-specific T cell immunity ... 2020 2026 2022 2024 2020 100 200 300

Peers

Frank J. Lowery
Comparison fields: 5 of 77
  • Oncology 580
  • Molecular Biology 565
  • Immunology 408
  • Pulmonary and Respiratory Medicine 197
  • Cancer Research 140
Replace Jonathan H. Schatz with:
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Jonathan H. Schatz United States View profile →
Citations per field, relative to Frank J. Lowery
Frank J. Lowery · 1×
Citations per year, relative to Frank J. Lowery
Frank J. Lowery · 1×

Countries citing papers authored by Frank J. Lowery

Since Specialization
Citations

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

Fields of papers citing papers by Frank J. Lowery

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Frank J. Lowery. 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 Frank J. Lowery. The network helps show where Frank J. Lowery may publish in the future.

Co-authorship network of co-authors of Frank J. Lowery

This figure shows the co-authorship network connecting the top 25 collaborators of Frank J. Lowery. A scholar is included among the top collaborators of Frank J. Lowery 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 Frank J. Lowery. Frank J. Lowery 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 1
2 0
3 0
4 13
5 90
6 2
7 29
8 1
9 2
10 1
11 21
12
mRNA vaccine–induced neoantigen-specific T cell immunity in patients with gastrointestinal cancer breakdown →
313
13 56
14 21
15 10
16 119
17 144
18 95
19 29
20 55

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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