Heath A. Smith

1.2k citations
16 papers · 866 · h-index 13

Impact in

  • Immunology top 10%
    • Immunotherapy and Immune Responses
    • Immune cells in cancer
    • Immune Cell Function and Interaction
  • Oncology top 5%
    • Cancer Immunotherapy and Biomarkers
    • Cancer Cells and Metastasis
    • CAR-T cell therapy research

Papers in

    • Immunotherapy and Immune Responses 8
    • vaccines and immunoinformatics approaches 5
    • RNA Interference and Gene Delivery 2

Heath A. Smith

15 papers receiving 859 citations

Peers

Heath A. Smith
Comparison fields: 5 of 70
  • Immunology 403
  • Oncology 494
  • Cancer Research 157
  • Pathology and Forensic Medicine 109
  • Molecular Biology 357
Replace Kohjiro Mashino with:
Kohjiro Mashino Japan
Katsuharu Saito Japan
Divya Thomas United States
Linda N. Liu United States
W Zhang United States
Sofia Sousa France
Guangcun Cheng China
Elisa Melucci Italy
Hallvard Haugen Norway
Jeffrey Hung United States
Heath A. Smith relative to Kohjiro Mashino Japan Kohjiro Mashino's profile →
Citations per field
00.5×8.4×
Kohjiro Mashino · 1×
Citations per year

Countries citing papers authored by Heath A. Smith

Since Specialization
Citations

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

Fields of papers citing papers by Heath A. Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Heath A. Smith. 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 Heath A. Smith. The network helps show where Heath A. Smith may publish in the future.

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2013286
2 2014109
3 201178
4 201777
5 201069
6 201559
7 202145
8 201144
9 201631
10 201124
11 201414
12 201113
13 201012
14 20083
15 20132
16 20250

About Heath A. Smith

Heath A. Smith is a scholar working on Immunology, Molecular Biology, Oncology, Pathology and Forensic Medicine and Pulmonary and Respiratory Medicine, having authored 16 papers that have together received 866 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (8 papers), vaccines and immunoinformatics approaches (5 papers), Cancer Immunotherapy and Biomarkers (4 papers), Cancer Cells and Metastasis (3 papers), Prostate Cancer Treatment and Research (2 papers), Cancer Mechanisms and Therapy (2 papers), RNA Interference and Gene Delivery (2 papers) and CAR-T cell therapy research (2 papers). The work is most often cited by research in Immunology (403 citations), Oncology (494 citations), Cancer Research (157 citations), Pathology and Forensic Medicine (109 citations) and Molecular Biology (357 citations). Heath A. Smith has collaborated with scholars based in United States and China. Frequent co-authors include Yibin Kang, Douglas G. McNeel, Joshua M. Lang, Brian T. Rekoske, Yong Wei, Brett Maricque, Rumela Chakrabarti, Brian M. Olson, Mary Jane Staab and Jens C. Eickhoff. Their work appears in journals such as Cancer Research, Cancer Cell, The Prostate, Vaccine and Cancer Immunology Immunotherapy.

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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