Aisha Jibril

439 total citations
11 papers, 108 citations indexed

About

Aisha Jibril is a scholar working on Immunology, Hematology and Molecular Biology. According to data from OpenAlex, Aisha Jibril has authored 11 papers receiving a total of 108 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Immunology, 6 papers in Hematology and 3 papers in Molecular Biology. Recurrent topics in Aisha Jibril's work include Immune cells in cancer (4 papers), interferon and immune responses (3 papers) and Multiple Myeloma Research and Treatments (3 papers). Aisha Jibril is often cited by papers focused on Immune cells in cancer (4 papers), interferon and immune responses (3 papers) and Multiple Myeloma Research and Treatments (3 papers). Aisha Jibril collaborates with scholars based in United Kingdom, United States and Ghana. Aisha Jibril's co-authors include Jamie A Moore, Charlotte Hellmich, Kristian M. Bowles, Stuart A. Rushworth, Jayna J. Mistry, Naiara Beraza, Iain C. Macaulay, Federica Di Palma, Edyta E. Wojtowicz and Benjamin B. Johnson and has published in prestigious journals such as Nature Communications, Blood and Cancer Research.

In The Last Decade

Aisha Jibril

10 papers receiving 108 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aisha Jibril United Kingdom 5 50 38 36 33 16 11 108
Jenny Li United States 4 45 0.9× 32 0.8× 55 1.5× 20 0.6× 10 0.6× 7 108
Juliana Vélez United States 5 72 1.4× 16 0.4× 30 0.8× 46 1.4× 38 2.4× 8 119
Lewis Allen United Kingdom 3 46 0.9× 31 0.8× 62 1.7× 32 1.0× 6 0.4× 3 98
Nikolaus Jahn Germany 6 59 1.2× 34 0.9× 55 1.5× 14 0.4× 33 2.1× 9 126
Inge van der Werf Netherlands 7 124 2.5× 18 0.5× 46 1.3× 37 1.1× 20 1.3× 17 168
Niels Asger Jakobsen United Kingdom 6 41 0.8× 22 0.6× 21 0.6× 28 0.8× 6 0.4× 9 97
Yoonseok Kam United States 3 79 1.6× 50 1.3× 9 0.3× 56 1.7× 17 1.1× 5 148
Ekaterina Postovalova United States 6 27 0.5× 27 0.7× 9 0.3× 27 0.8× 33 2.1× 25 98
Sofia Rosenzweig United States 4 48 1.0× 70 1.8× 9 0.3× 14 0.4× 16 1.0× 5 122
Tomoya Isobe Japan 6 55 1.1× 7 0.2× 15 0.4× 29 0.9× 18 1.1× 10 90

Countries citing papers authored by Aisha Jibril

Since Specialization
Citations

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

Fields of papers citing papers by Aisha Jibril

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aisha Jibril

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

All Works

11 of 11 papers shown
1.
Jibril, Aisha, Charlotte Hellmich, Edyta E. Wojtowicz, et al.. (2023). Plasma cell derived mtDAMPs activate macrophage STING pathway which promotes myeloma progression.. Blood. 141(25). 3065–3077. 9 indexed citations
3.
Hellmich, Charlotte, Edyta E. Wojtowicz, Jamie A Moore, et al.. (2022). p16INK4A-dependent senescence in the bone marrow niche drives age-related metabolic changes of hematopoietic progenitors. Blood Advances. 7(2). 256–268. 10 indexed citations
4.
Mistry, Jayna J., Charlotte Hellmich, Jamie A Moore, et al.. (2021). Venetoclax and Daratumumab combination treatment demonstrates pre-clinical efficacy in mouse models of Acute Myeloid Leukemia. Biomarker Research. 9(1). 35–35. 6 indexed citations
5.
Mistry, Jayna J., Charlotte Hellmich, Jamie A Moore, et al.. (2021). Free fatty-acid transport via CD36 drives β-oxidation-mediated hematopoietic stem cell response to infection. Nature Communications. 12(1). 7130–7130. 68 indexed citations
6.
Hellmich, Charlotte, Jayna J. Mistry, Jamie A Moore, et al.. (2021). Abstract 1048: Targeting BCL-2 and CD38 in models of acute myeloid leukemia reduces tumour burden. Cancer Research. 81(13_Supplement). 1048–1048. 1 indexed citations
7.
Jibril, Aisha, et al.. (2021). Multiple Myeloma Derived Mitochondrial Damps Induce Inflammation in the Bone Marrow Adipose Tissue Which Promotes Tumour Development. Blood. 138(Supplement 1). 2654–2654. 1 indexed citations
8.
Jibril, Aisha, et al.. (2020). Parents’ perceptions of core outcomes in neonatal research in two Nigerian neonatal units. BMJ Paediatrics Open. 4(1). e000669–e000669. 2 indexed citations
10.
Mistry, Jayna J., Jamie A Moore, Charlotte Hellmich, et al.. (2020). Enhanced Free Fatty Acid Uptake Via CD36 Promotes a Metabolic Switch to B-Oxidation within Hematopoietic Stem Cells in Response to Acute Infection. Blood. 136(Supplement 1). 39–40. 1 indexed citations
11.
Jiagge, Evelyn, Aisha Jibril, Melissa B. Davis, et al.. (2018). Androgen Receptor and ALDH1 Expression Among Internationally Diverse Patient Populations. Journal of Global Oncology. 4(4). 1–8. 9 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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