Abiodun A. Ogunjimi
Impact in
- Cancer Research top 2%
- MicroRNA in disease regulation
- Cell Biology top 2%
- Hippo pathway signaling and YAP/TAZ
Papers in
-
- TGF-β signaling in diseases 4
- Ubiquitin and proteasome pathways 4
- RNA Research and Splicing 2
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- Cellular Mechanics and Interactions 3
- Microtubule and mitosis dynamics 2
- Co-authors
- Jeffrey L. Wrana (10 shared papers)Liang Zhang (2 shared papers)Mark Basik (1 shared paper)Valbona Luga (1 shared paper)Alicia Viloria‐Petit (1 shared paper)Marguerite Buchanan (1 shared paper)Abdel Hosein (1 shared paper)Elaine Chiu (1 shared paper)
- Journals
- Nature Communications (2 papers)Cell (2 papers)Biotechnology and Applied Biochemistry (1 paper)Science (1 paper)Cell Reports (1 paper)
- Partner nations
- CanadaUnited StatesNigeria
In The Last Decade
Abiodun A. Ogunjimi
17 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 99
- Cancer Research 740
- Cell Biology 543
- Molecular Biology 2.2k
- Immunology and Allergy 141
- Oncology 504
Countries citing papers authored by Abiodun A. Ogunjimi
This map shows the geographic impact of Abiodun A. Ogunjimi'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 Abiodun A. Ogunjimi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abiodun A. Ogunjimi more than expected).
Fields of papers citing papers by Abiodun A. Ogunjimi
This network shows the impact of papers produced by Abiodun A. Ogunjimi. 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 Abiodun A. Ogunjimi. The network helps show where Abiodun A. Ogunjimi may publish in the future.
Co-authors
The 25 scholars most cited alongside Abiodun A. Ogunjimi, 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 | Exosomes Mediate Stromal Mobilization of Autocrine Wnt-PCP Signaling in Breast Cancer Cell Migration Hit paper breakdown → | 2012 | 1089 |
| 2 | 2003 | 445 | |
| 3 | 2013 | 239 | |
| 4 | 2005 | 221 | |
| 5 | 2007 | 217 | |
| 6 | 2006 | 64 | |
| 7 | 2009 | 56 | |
| 8 | 2015 | 55 | |
| 9 | 2011 | 45 | |
| 10 | 1999 | 41 | |
| 11 | 1994 | 39 | |
| 12 | 1999 | 28 | |
| 13 | 2019 | 22 | |
| 14 | 2020 | 21 | |
| 15 | 2002 | 6 | |
| 16 | 2000 | 5 | |
| 17 | 1999 | 2 |
About Abiodun A. Ogunjimi
Abiodun A. Ogunjimi is a scholar working on Molecular Biology, Cell Biology, Oncology, Genetics and Biotechnology, having authored 17 papers that have together received 2.6k indexed citations. Recurring topics across this work include TGF-β signaling in diseases (4 papers), Ubiquitin and proteasome pathways (4 papers), Cellular Mechanics and Interactions (3 papers), Salmonella and Campylobacter epidemiology (2 papers), RNA Research and Splicing (2 papers), Escherichia coli research studies (2 papers), Microtubule and mitosis dynamics (2 papers) and Cancer-related Molecular Pathways (2 papers). The work is most often cited by research in Cancer Research (740 citations), Cell Biology (543 citations), Molecular Biology (2.2k citations), Immunology and Allergy (141 citations) and Oncology (504 citations). Abiodun A. Ogunjimi has collaborated with scholars based in Canada, United States and Nigeria. Frequent co-authors include Jeffrey L. Wrana, Liang Zhang, Mark Basik, Valbona Luga, Alicia Viloria‐Petit, Marguerite Buchanan, Abdel Hosein, Elaine Chiu, Hongrui Wang and Barish Ozdamar. Their work appears in journals such as Nature Communications, Cell, Biotechnology and Applied Biochemistry, Science and Cell Reports.
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.