Jacob Ricca

1.6k citations
12 papers · 969 · h-index 8

Impact in

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

Papers in

    • CAR-T cell therapy research 5
    • Cancer Immunotherapy and Biomarkers 3
    • Virus-based gene therapy research 6

Jacob Ricca

12 papers receiving 948 citations

Peers

Jacob Ricca
Comparison fields: 5 of 51
  • Oncology 522
  • Immunology 364
  • Genetics 343
  • Reproductive Medicine 58
  • Cancer Research 87
Replace Deanna M. Grote with:
Deanna M. Grote United States
Drew C. Deniger United States
Jane C. Steele United Kingdom
Alar Aints Sweden
Linda Pan United States
Lars Jansen Germany
Annette Arnold Germany
Joanne Fanelli Panus United States
Mee-Sook Roh South Korea
Emma D’Andrea Italy
Jacob Ricca relative to Deanna M. Grote United States Deanna M. Grote's profile →
Citations per field
00.5×4.8×
Deanna M. Grote · 1×
Citations per year

Countries citing papers authored by Jacob Ricca

Since Specialization
Citations

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

Fields of papers citing papers by Jacob Ricca

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2017344
2 2018126
3 2018117
4 2017117
5 2017114
6 201791
7 201827
8 201324
9 20184
10 20163
11 20181
12 20171

About Jacob Ricca

Jacob Ricca is a scholar working on Oncology, Genetics, Immunology, Molecular Biology and Animal Science and Zoology, having authored 12 papers that have together received 969 indexed citations. Recurring topics across this work include Virus-based gene therapy research (6 papers), CAR-T cell therapy research (5 papers), Cancer Immunotherapy and Biomarkers (3 papers), S100 Proteins and Annexins (2 papers), Immunotherapy and Immune Responses (2 papers), Animal Virus Infections Studies (2 papers), Cancer Mechanisms and Therapy (1 paper) and NF-κB Signaling Pathways (1 paper). The work is most often cited by research in Oncology (522 citations), Immunology (364 citations), Genetics (343 citations), Reproductive Medicine (58 citations) and Cancer Research (87 citations). Jacob Ricca has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Taha Merghoub, Dmitriy Zamarin, Jedd D. Wolchok, Tyler Walther, Anton Oseledchyk, Alejandro Jiménez-Sánchez, Martin L. Miller, Yanyun Li, Kay J. Park and Oliver Zivanovic. Their work appears in journals such as Molecular Therapy, The Journal of Immunology, Oncotarget, Science Immunology and Journal of Clinical Investigation.

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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