Afoma C. Umeano

439 total citations
10 papers, 313 citations indexed

About

Afoma C. Umeano is a scholar working on Molecular Biology, Immunology and Biomaterials. According to data from OpenAlex, Afoma C. Umeano has authored 10 papers receiving a total of 313 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Immunology and 3 papers in Biomaterials. Recurrent topics in Afoma C. Umeano's work include Immunotherapy and Immune Responses (4 papers), Nanoparticle-Based Drug Delivery (3 papers) and RNA Interference and Gene Delivery (2 papers). Afoma C. Umeano is often cited by papers focused on Immunotherapy and Immune Responses (4 papers), Nanoparticle-Based Drug Delivery (3 papers) and RNA Interference and Gene Delivery (2 papers). Afoma C. Umeano collaborates with scholars based in United States, Pakistan and Kazakhstan. Afoma C. Umeano's co-authors include Ru Wen, Ammad Ahmad Farooqı, Jian Xu, Yi Kou, Pingping Chen, Stephan C. Schürer, Avi Ma’ayan, John Erol Evangelista, Daniel J. Cooper and Mehdi Fazel‐Najafabadi and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and European Journal of Medicinal Chemistry.

In The Last Decade

Afoma C. Umeano

10 papers receiving 309 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Afoma C. Umeano United States 6 189 84 59 47 37 10 313
Idris O. Raji United States 11 331 1.8× 37 0.4× 47 0.8× 25 0.5× 18 0.5× 17 482
Rakesh Trivedi United States 6 195 1.0× 81 1.0× 52 0.9× 46 1.0× 8 0.2× 6 383
Åsmund Flobak Norway 10 221 1.2× 35 0.4× 79 1.3× 41 0.9× 76 2.1× 24 376
Adonis Hazoumé France 6 439 2.3× 81 1.0× 36 0.6× 40 0.9× 20 0.5× 7 564
Zarema Albakova Russia 9 313 1.7× 83 1.0× 38 0.6× 34 0.7× 9 0.2× 11 399
Ali Munaim Yousif Italy 16 199 1.1× 39 0.5× 20 0.3× 37 0.8× 11 0.3× 19 391
Sarah C. Zimmermann United States 13 278 1.5× 32 0.4× 29 0.5× 162 3.4× 13 0.4× 24 491
Minglei Yang China 13 205 1.1× 44 0.5× 24 0.4× 50 1.1× 4 0.1× 18 353
Qinhuai Lai China 11 226 1.2× 47 0.6× 20 0.3× 42 0.9× 18 0.5× 18 455

Countries citing papers authored by Afoma C. Umeano

Since Specialization
Citations

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

Fields of papers citing papers by Afoma C. Umeano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Afoma C. Umeano. 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 Afoma C. Umeano. The network helps show where Afoma C. Umeano may publish in the future.

Co-authorship network of co-authors of Afoma C. Umeano

This figure shows the co-authorship network connecting the top 25 collaborators of Afoma C. Umeano. A scholar is included among the top collaborators of Afoma C. Umeano 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 Afoma C. Umeano. Afoma C. Umeano is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Itonaga, Hidehiro, Adnan K. Mookhtiar, Sarah Greenblatt, et al.. (2024). Tyrosine phosphorylation of CARM1 promotes its enzymatic activity and alters its target specificity. Nature Communications. 15(1). 3415–3415. 2 indexed citations
2.
Gibbons, Garrett S., Afoma C. Umeano, Chenzhong Liao, et al.. (2020). Identification of DOT1L inhibitors by structure-based virtual screening adapted from a nucleoside-focused library. European Journal of Medicinal Chemistry. 189. 112023–112023. 18 indexed citations
3.
Wen, Ru & Afoma C. Umeano. (2019). Role of targeting nanoparticles for cancer immunotherapy and imaging. 3(2). 79–79. 1 indexed citations
4.
Stathias, Vasileios, Amar Koleti, D. Vidović, et al.. (2019). LINCS Data Portal 2.0: next generation access point for perturbation-response signatures. Nucleic Acids Research. 48(D1). D431–D439. 100 indexed citations
5.
Wen, Ru, Afoma C. Umeano, Yi Kou, Jian Xu, & Ammad Ahmad Farooqı. (2019). Nanoparticle Systems for Cancer Vaccine. Nanomedicine. 14(5). 627–648. 110 indexed citations
6.
Wen, Ru, et al.. (2018). Role of microRNA‐410 in molecular oncology: A double edged sword. Journal of Cellular Biochemistry. 119(11). 8737–8742. 30 indexed citations
7.
Wen, Ru, Afoma C. Umeano, Pingping Chen, & Ammad Ahmad Farooqı. (2018). Polymer-Based Drug Delivery Systems for Cancer. Critical Reviews in Therapeutic Drug Carrier Systems. 35(6). 521–553. 34 indexed citations
8.
Wen, Ru & Afoma C. Umeano. (2017). Role of targeting nanoparticles for cancer immunotherapy and imaging. 1(3). 2 indexed citations
9.
Wang, Haichen, Hana N. Dawson, Beilei Lei, et al.. (2017). Female gonadal hormone effects on microglial activation and functional outcomes in a mouse model of moderate traumatic brain injury. World Journal of Critical Care Medicine. 6(2). 107–107. 5 indexed citations
10.
Wen, Ru, et al.. (2016). Mitochondrion: A Promising Target for Nanoparticle-Based Vaccine Delivery Systems. Vaccines. 4(2). 18–18. 11 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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