Tobiloba E. Oni
Impact in
- Oncology top 0.5%
- Pancreatic and Hepatic Oncology Research
- Cancer Cells and Metastasis
- Cancer Immunotherapy and Biomarkers
- Cancer Research top 5%
Papers in
- Oncology 8
- Pancreatic and Hepatic Oncology Research 7
- Cancer Cells and Metastasis 1
-
- Cancer, Lipids, and Metabolism 1
- Co-authors
- Youngkyu Park (3 shared papers)David Arthur Tuveson (3 shared papers)Jonathan B. Preall (1 shared paper)Giulia Biffi (1 shared paper)Benjamin P. Spielman (1 shared paper)Hao Yuan (1 shared paper)Ela Elyada (1 shared paper)Vincenzo Corbo (2 shared papers)
- Journals
- Clinical Cancer Research (2 papers)The Journal of Experimental Medicine (2 papers)Proceedings of the National Academy of Sciences (2 papers)Cancer Discovery (1 paper)Science (1 paper)
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
Tobiloba E. Oni
10 papers receiving 5.5k citations
Tobiloba E. Oni's Hit Papers
Peers
Comparison fields: 5 of 89
- Oncology 3.6k
- Cancer Research 431
- Molecular Biology 1.4k
- Immunology 379
- Cell Biology 221
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 | Distinct populations of inflammatory fibroblasts and myofibroblasts in pancreatic cancer Hit paper breakdown → | 2017 | 2039 |
| 2 | Organoid Models of Human and Mouse Ductal Pancreatic Cancer Hit paper breakdown → | 2014 | 1772 |
| 3 | IL1-Induced JAK/STAT Signaling Is Antagonized by TGFβ to Shape CAF Heterogeneity in Pancreatic Ductal Adenocarcinoma Hit paper breakdown → | 2018 | 1098 |
| 4 | 2021 | 240 | |
| 5 | 2019 | 234 | |
| 6 | 2020 | 94 | |
| 7 | 2019 | 52 | |
| 8 | 2021 | 20 | |
| 9 | 2025 | 15 | |
| 10 | 2025 | 1 |
About Tobiloba E. Oni
Tobiloba E. Oni is a scholar working on Oncology, Cancer Research, Molecular Biology, Nuclear Energy and Engineering and Waste Management and Disposal, having authored 10 papers that have together received 5.6k indexed citations. Recurring topics across this work include Pancreatic and Hepatic Oncology Research (7 papers), Hedgehog Signaling Pathway Studies (1 paper), Cancer, Lipids, and Metabolism (1 paper), Protein Kinase Regulation and GTPase Signaling (1 paper), Glycosylation and Glycoproteins Research (1 paper) and Cancer Cells and Metastasis (1 paper). The work is most often cited by research in Oncology (3.6k citations), Cancer Research (431 citations), Molecular Biology (1.4k citations), Immunology (379 citations) and Cell Biology (221 citations). Tobiloba E. Oni has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Youngkyu Park, David Arthur Tuveson, Jonathan B. Preall, Giulia Biffi, Benjamin P. Spielman, Hao Yuan, Ela Elyada, Vincenzo Corbo, Mariano Ponz‐Sarvisé and Daniel Öhlund. Their work appears in journals such as Clinical Cancer Research, The Journal of Experimental Medicine, Proceedings of the National Academy of Sciences, Cancer Discovery and Science.
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.