Naima Banouni

546 total citations
12 papers, 236 citations indexed

About

Naima Banouni is a scholar working on Immunology, Surgery and Molecular Biology. According to data from OpenAlex, Naima Banouni has authored 12 papers receiving a total of 236 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Immunology, 4 papers in Surgery and 2 papers in Molecular Biology. Recurrent topics in Naima Banouni's work include T-cell and B-cell Immunology (4 papers), Transplantation: Methods and Outcomes (3 papers) and Mast cells and histamine (2 papers). Naima Banouni is often cited by papers focused on T-cell and B-cell Immunology (4 papers), Transplantation: Methods and Outcomes (3 papers) and Mast cells and histamine (2 papers). Naima Banouni collaborates with scholars based in United States, China and Iran. Naima Banouni's co-authors include Reza Abdi, Mayuko Uehara, Vivek Kasinath, Martina M. McGrath, Liwei Jiang, Zhabiz Solhjou, Paolo Fiorina, Takaharu Ichimura, Jonathan S. Bromberg and Baharak Bahmani and has published in prestigious journals such as Journal of Clinical Investigation, Nature Communications and ACS Nano.

In The Last Decade

Naima Banouni

11 papers receiving 236 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Naima Banouni United States 8 93 60 55 48 33 12 236
Hannah Choe United States 10 93 1.0× 40 0.7× 90 1.6× 55 1.1× 44 1.3× 58 315
Sunmi Yang United States 7 120 1.3× 143 2.4× 102 1.9× 44 0.9× 37 1.1× 8 381
Merle M. Krebber Netherlands 10 27 0.3× 81 1.4× 63 1.1× 25 0.5× 31 0.9× 17 279
Faye Robertson United Kingdom 6 49 0.5× 52 0.9× 65 1.2× 96 2.0× 12 0.4× 7 259
Benedetta Rambaldi Italy 9 101 1.1× 32 0.5× 51 0.9× 71 1.5× 7 0.2× 27 282
Shintaro Maeda Japan 7 72 0.8× 35 0.6× 25 0.5× 58 1.2× 33 1.0× 27 202
Ichiro Kawano Japan 7 18 0.2× 46 0.8× 37 0.7× 67 1.4× 4 0.1× 28 240
Carlotta Camilli United Kingdom 7 41 0.4× 60 1.0× 115 2.1× 111 2.3× 2 0.1× 9 272
Phillip H. Horne United States 11 124 1.3× 219 3.6× 37 0.7× 23 0.5× 42 1.3× 16 411
Kyle B. Woodward United States 7 86 0.9× 209 3.5× 59 1.1× 42 0.9× 23 0.7× 14 334

Countries citing papers authored by Naima Banouni

Since Specialization
Citations

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

Fields of papers citing papers by Naima Banouni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Naima Banouni. 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 Naima Banouni. The network helps show where Naima Banouni may publish in the future.

Co-authorship network of co-authors of Naima Banouni

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

All Works

12 of 12 papers shown
1.
Dai, Li, Mayuko Uehara, Xiaofei Li, et al.. (2022). Characterization of CD41+ cells in the lymph node. Frontiers in Immunology. 13. 801945–801945.
2.
Jiang, Liwei, Mayuko Uehara, Cecília B. Cavazzoni, et al.. (2022). Characterization of Leptin Receptor+ Stromal Cells in Lymph Node. Frontiers in Immunology. 12. 730438–730438. 7 indexed citations
3.
Zhao, Jing, Liwei Jiang, Mayuko Uehara, et al.. (2021). ACTH treatment promotes murine cardiac allograft acceptance. JCI Insight. 6(13). 4 indexed citations
4.
Li, Xiaofei, Jing Zhao, Vivek Kasinath, et al.. (2020). Lymph node fibroblastic reticular cells deposit fibrosis-associated collagen following organ transplantation. Journal of Clinical Investigation. 130(8). 4182–4194. 31 indexed citations
5.
Uehara, Mayuko, Naima Banouni, Vivek Kasinath, et al.. (2020). Cellular Mechanisms of Rejection of Optic and Sciatic Nerve Transplants: An Observational Study. Transplantation Direct. 6(8). e589–e589. 1 indexed citations
6.
Uehara, Mayuko, Xiaofei Li, Amir Sheikhi, et al.. (2019). Anti-IL-6 eluting immunomodulatory biomaterials prolong skin allograft survival. Scientific Reports. 9(1). 6535–6535. 42 indexed citations
7.
Uehara, Mayuko, Baharak Bahmani, Liwei Jiang, et al.. (2019). Nanodelivery of Mycophenolate Mofetil to the Organ Improves Transplant Vasculopathy. ACS Nano. 13(11). 12393–12407. 25 indexed citations
8.
Li, Xiaofei, Mayuko Uehara, Naima Banouni, et al.. (2019). Immune heterogeneity of head and tail pancreatic lymph nodes in non-obese diabetic mice. Scientific Reports. 9(1). 9778–9778. 4 indexed citations
9.
Maarouf, Omar H., Mayuko Uehara, Vivek Kasinath, et al.. (2018). Repetitive ischemic injuries to the kidneys result in lymph node fibrosis and impaired healing. JCI Insight. 3(13). 33 indexed citations
10.
Bahmani, Baharak, Mayuko Uehara, Farideh Ordikhani, et al.. (2018). Ectopic high endothelial venules in pancreatic ductal adenocarcinoma: A unique site for targeted delivery. EBioMedicine. 38. 79–88. 24 indexed citations
11.
Uehara, Mayuko, Zhabiz Solhjou, Naima Banouni, et al.. (2018). Ischemia augments alloimmune injury through IL-6-driven CD4+ alloreactivity. Scientific Reports. 8(1). 2461–2461. 39 indexed citations
12.
Uehara, Mayuko, Martina M. McGrath, Shunsuke Ohori, et al.. (2017). Regulation of T cell alloimmunity by PI3Kγ and PI3Kδ. Nature Communications. 8(1). 951–951. 26 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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