Tobiloba E. Oni
Impact in
- Oncology top 5%
- Cancer Cells and Metastasis
- Pancreatic and Hepatic Oncology Research
- Cancer Immunotherapy and Biomarkers
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
- Cancer, Hypoxia, and Metabolism
Papers in
- Oncology 3
- Pancreatic and Hepatic Oncology Research 2
- Cancer Cells and Metastasis 2
- Peptidase Inhibition and Analysis 1
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- Protein Kinase Regulation and GTPase Signaling 1
- Co-authors
- David A. Tuveson (3 shared papers)Youngkyu Park (3 shared papers)Giulia Biffi (1 shared paper)Hao Yuan (1 shared paper)Ela Elyada (1 shared paper)Benjamin Spielman (1 shared paper)Jonathan Preall (1 shared paper)Daniel Öhlund (2 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Clinical Cancer Research (1 paper)Cancer Discovery (1 paper)Experimental & Molecular Medicine (1 paper)
- Partner nations
- United StatesSouth SudanSpain
In The Last Decade
Tobiloba E. Oni
4 papers receiving 1.0k citations
Tobiloba E. Oni's Hit Papers
Peers
Comparison fields: 5 of 61
- Oncology 716
- Cancer Research 252
- Immunology 277
- Molecular Biology 362
- Biotechnology 45
Countries citing papers authored by Tobiloba E. Oni
This map shows the geographic impact of Tobiloba E. Oni'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 Tobiloba E. Oni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tobiloba E. Oni more than expected).
Fields of papers citing papers by Tobiloba E. Oni
This network shows the impact of papers produced by Tobiloba E. Oni. 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 Tobiloba E. Oni. The network helps show where Tobiloba E. Oni may publish in the future.
Co-authors
The 25 scholars most cited alongside Tobiloba E. Oni, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | IL1-Induced JAK/STAT Signaling Is Antagonized by TGFβ to Shape CAF Heterogeneity in Pancreatic Ductal Adenocarcinoma Hit paper breakdown → | 2018 | 939 |
| 2 | 2019 | 44 | |
| 3 | 2021 | 20 | |
| 4 | 2025 | 11 |
About Tobiloba E. Oni
Tobiloba E. Oni is a scholar working on Oncology, Molecular Biology, Cell Biology, Immunology and Cancer Research, having authored 4 papers that have together received 1.0k indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (2 papers), Cancer Cells and Metastasis (2 papers), Phagocytosis and Immune Regulation (1 paper), Protein Kinase Regulation and GTPase Signaling (1 paper), Peptidase Inhibition and Analysis (1 paper), Cellular transport and secretion (1 paper) and Cancer Genomics and Diagnostics (1 paper). The work is most often cited by research in Oncology (716 citations), Cancer Research (252 citations), Immunology (277 citations), Molecular Biology (362 citations) and Biotechnology (45 citations). Tobiloba E. Oni has collaborated with scholars based in United States, South Sudan and Spain. Frequent co-authors include David A. Tuveson, Youngkyu Park, Giulia Biffi, Hao Yuan, Ela Elyada, Benjamin Spielman, Jonathan Preall, Daniel Öhlund, Vincenzo Corbo and Mariano Ponz‐Sarvisé. Their work appears in journals such as Proceedings of the National Academy of Sciences, Clinical Cancer Research, Cancer Discovery and Experimental & Molecular Medicine.
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.