Olulanu H. Aina

1.5k total citations
19 papers, 1.2k citations indexed

About

Olulanu H. Aina is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Oncology. According to data from OpenAlex, Olulanu H. Aina has authored 19 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 9 papers in Radiology, Nuclear Medicine and Imaging and 6 papers in Oncology. Recurrent topics in Olulanu H. Aina's work include Monoclonal and Polyclonal Antibodies Research (6 papers), Chemical Synthesis and Analysis (5 papers) and Cell Adhesion Molecules Research (5 papers). Olulanu H. Aina is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (6 papers), Chemical Synthesis and Analysis (5 papers) and Cell Adhesion Molecules Research (5 papers). Olulanu H. Aina collaborates with scholars based in United States, Switzerland and Germany. Olulanu H. Aina's co-authors include Kit S. Lam, Thomas Sroka, Jan Mařı́k, Ruiwu Liu, Chong-xian Pan, Julie L. Sutcliffe, Robert D. Cardiff, Michael Stadler, Hubertus Kohler and Tim Roloff and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and PLoS ONE.

In The Last Decade

Olulanu H. Aina

19 papers receiving 1.1k citations

Peers

Olulanu H. Aina

RNMI

ONCOL

Chisato M. Yamazaki Japan

Ángel M. Cuesta Spain

Nigel Courtenay-Luck United Kingdom

Vazgen Khankaldyyan United States

Khalid A. Mohamedali United States

Alexander Zheleznyak United States

Jun Nakayama Japan

Zhengming Xiong United States

Jay Harper United States

Jessica L. Crisp United States

Chisato M. Yamazaki Japan

Olulanu H. Aina

452 ×0.6

399 ×1.1

RNMI

528 ×1.5

ONCOL

93 ×0.7

112 ×0.8

Citations per year, relative to Olulanu H. Aina Olulanu H. Aina (= 1×) peers Chisato M. Yamazaki

Countries citing papers authored by Olulanu H. Aina

Since Specialization

Citations

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

Fields of papers citing papers by Olulanu H. Aina

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Olulanu H. Aina. 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 Olulanu H. Aina. The network helps show where Olulanu H. Aina may publish in the future.

Co-authorship network of co-authors of Olulanu H. Aina

This figure shows the co-authorship network connecting the top 25 collaborators of Olulanu H. Aina. A scholar is included among the top collaborators of Olulanu H. Aina based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Olulanu H. Aina. Olulanu H. Aina is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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19 of 19 papers shown

Schwab, Julian, Qian Chen, Anna Luisa Kühn, et al.. (2022). Intratumoral in vivo staging of breast cancer by multi-tracer PET and advanced analysis. npj Breast Cancer. 8(1). 41–41. 2 indexed citations

Chiu, Danica, Richard Tavaré, Lauric Haber, et al.. (2020). A PSMA-Targeting CD3 Bispecific Antibody Induces Antitumor Responses that Are Enhanced by 4-1BB Costimulation. Cancer Immunology Research. 8(5). 596–608. 33 indexed citations

Chen, Henry, et al.. (2020). Mammalian Retinal Cell Quantification. Toxicologic Pathology. 49(3). 505–520. 1 indexed citations

Turner, Oliver C., Famke Aeffner, Dinesh S. Bangari, et al.. (2019). Society of Toxicologic Pathology Digital Pathology and Image Analysis Special Interest Group Article*: Opinion on the Application of Artificial Intelligence and Machine Learning to Digital Toxicologic Pathology. Toxicologic Pathology. 48(2). 277–294. 38 indexed citations

Bui, Tung, Babette Schade, Robert D. Cardiff, et al.. (2017). β-Catenin haploinsufficiency promotes mammary tumorigenesis in an ErbB2-positive basal breast cancer model. Proceedings of the National Academy of Sciences. 114(5). E707–E716. 22 indexed citations

Schmitz, Jennifer, Julian Schwab, Johannes Schwenck, et al.. (2016). Decoding Intratumoral Heterogeneity of Breast Cancer by Multiparametric In Vivo Imaging: A Translational Study. Cancer Research. 76(18). 5512–5522. 27 indexed citations

Koren, Shany, Linsey B. Reavie, Joana Couto, et al.. (2015). PIK3CAH1047R induces multipotency and multi-lineage mammary tumours. Nature. 525(7567). 114–118. 232 indexed citations

Fite, Brett Z., Andrew Wong, Yu Liu, et al.. (2015). Magnetic Resonance Imaging Assessment of Effective Ablated Volume following High Intensity Focused Ultrasound. PLoS ONE. 10(3). e0120037–e0120037. 17 indexed citations

Adams, Cassandra, Jennifer S. Yu, Jian‐Hua Mao, et al.. (2015). The Trp53 delta proline (Trp53ΔP) mouse exhibits increased genome instability and susceptibility to radiation-induced, but not spontaneous, tumor development. Molecular Carcinogenesis. 55(9). 1387–1396. 6 indexed citations

10.

Mounir, Zineb, Fallon Lin, Joshua M. Korn, et al.. (2014). TMPRSS2:ERG blocks neuroendocrine and luminal cell differentiation to maintain prostate cancer proliferation. Oncogene. 34(29). 3815–3825. 46 indexed citations

11.

Haricharan, Svasti, Sarah Hein, Jie Dong, et al.. (2013). Contribution of an alveolar cell of origin to the high-grade malignant phenotype of pregnancy-associated breast cancer. Oncogene. 33(50). 5729–5739. 16 indexed citations

12.

Aina, Olulanu H., Yoshiko Maeda, Matthew Harrison, et al.. (2011). Canine malignant melanoma alpha-3 integrin binding peptides. Veterinary Immunology and Immunopathology. 143(1-2). 11–19. 14 indexed citations

13.

Zhang, Hongyong, Olulanu H. Aina, Kit S. Lam, et al.. (2010). Identification of a bladder cancer-specific ligand using a combinatorial chemistry approach. Urologic Oncology Seminars and Original Investigations. 30(5). 635–645. 45 indexed citations

14.

Carpenter, Richard D., Olulanu H. Aina, Edmond Y. Lau, et al.. (2008). Selectively Targeting T- and B-Cell Lymphomas: A Benzothiazole Antagonist of α₄β₁ Integrin. Journal of Medicinal Chemistry. 52(1). 14–19. 28 indexed citations

15.

Luo, Juntao, Hongyong Zhang, Wenwu Xiao, et al.. (2008). Rainbow Beads: A Color Coding Method to Facilitate High-Throughput Screening and Optimization of One-Bead One-Compound Combinatorial Libraries. Journal of Combinatorial Chemistry. 10(4). 599–604. 24 indexed citations

16.

Aina, Olulanu H., Ruiwu Liu, Julie L. Sutcliffe, et al.. (2007). From Combinatorial Chemistry to Cancer-Targeting Peptides. Molecular Pharmaceutics. 4(5). 631–651. 226 indexed citations

17.

Aina, Olulanu H., Jan Mařı́k, Ruiwu Liu, Derick Lau, & Kit S. Lam. (2005). Identification of novel targeting peptides for human ovarian cancer cells using “one-bead one-compound” combinatorial libraries. Molecular Cancer Therapeutics. 4(5). 806–813. 70 indexed citations

18.

Aina, Olulanu H., Jan Mařı́k, Regina Gandour‐Edwards, & Kit S. Lam. (2005). Near-Infrared Optical Imaging of Ovarian Cancer Xenografts with Novel α3-Integrin Binding Peptide “OA02”. Molecular Imaging. 4(4). 439–47. 47 indexed citations

19.

Aina, Olulanu H., et al.. (2002). Therapeutic cancer targeting peptides. Biopolymers. 66(3). 184–199. 260 indexed citations

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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