Reyisa Bughda

445 total citations
9 papers, 313 citations indexed

About

Reyisa Bughda is a scholar working on Oncology, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Reyisa Bughda has authored 9 papers receiving a total of 313 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Oncology, 4 papers in Molecular Biology and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Reyisa Bughda's work include CAR-T cell therapy research (6 papers), Virus-based gene therapy research (3 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). Reyisa Bughda is often cited by papers focused on CAR-T cell therapy research (6 papers), Virus-based gene therapy research (3 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). Reyisa Bughda collaborates with scholars based in United Kingdom. Reyisa Bughda's co-authors include Paraskevi Dimou, Astero Klampatsa, Shimobi Onuoha, Martin Pulé, Simon Thomas, Vania Baldan, Paul Maciocia, Brian Philip, Dominic Patel and Manuel Rodriguez‐Justo and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and Cancer Research.

In The Last Decade

Reyisa Bughda

9 papers receiving 308 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Reyisa Bughda United Kingdom	6	243	114	87	76	40	9	313
Vania Baldan United Kingdom	6	294 1.2×	109 1.0×	144 1.7×	83 1.1×	40 1.0×	9	360
Ruimin Hong China	9	283 1.2×	127 1.1×	75 0.9×	60 0.8×	43 1.1×	29	355
Jiazhen Cui China	11	312 1.3×	139 1.2×	118 1.4×	79 1.0×	74 1.9×	39	423
Galit Horn Israel	10	127 0.5×	186 1.6×	116 1.3×	52 0.7×	17 0.4×	18	291
Paul Castillo United States	9	331 1.4×	130 1.1×	154 1.8×	130 1.7×	27 0.7×	34	462
Mark Enstrom United States	7	183 0.8×	184 1.6×	99 1.1×	47 0.6×	47 1.2×	15	335
Viktoria Blumenberg Germany	10	304 1.3×	61 0.5×	51 0.6×	57 0.8×	34 0.8×	32	361
Aleksei Titov Russia	7	214 0.9×	122 1.1×	147 1.7×	61 0.8×	13 0.3×	13	368
Julia Piasecki United States	7	260 1.1×	232 2.0×	142 1.6×	41 0.5×	64 1.6×	22	403
Trisha R. Berger United States	9	373 1.5×	147 1.3×	175 2.0×	133 1.8×	16 0.4×	20	469

Countries citing papers authored by Reyisa Bughda

Since Specialization

Citations

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

Fields of papers citing papers by Reyisa Bughda

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Reyisa Bughda

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

All Works

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9 of 9 papers shown

Hotblack, Alastair, Reyisa Bughda, Anna Bulek, et al.. (2024). Designer Small-Molecule Control System Based on Minocycline-Induced Disruption of Protein–Protein Interaction. ACS Chemical Biology. 19(2). 308–324. 4 indexed citations

Dimou, Paraskevi, et al.. (2022). Overcoming tumor antigen heterogeneity in CAR-T cell therapy for malignant mesothelioma (MM). Journal of Cancer Metastasis and Treatment. 8(5). 28–28. 3 indexed citations

Bughda, Reyisa, et al.. (2021). Fibroblast Activation Protein (FAP)-Targeted CAR-T Cells: Launching an Attack on Tumor Stroma. SHILAP Revista de lepidopterología. Volume 10. 313–323. 115 indexed citations

Mekkaoui, Leila, Emma Bentley, Mathieu Ferrari, et al.. (2021). Optimised Method for the Production and Titration of Lentiviral Vectors Pseudotyped with the SARS-CoV-2 Spike. BIO-PROTOCOL. 11(16). e4194–e4194. 3 indexed citations

Ferrari, Mathieu, Leila Mekkaoui, Reyisa Bughda, et al.. (2021). Characterization of a Novel ACE2-Based Therapeutic with Enhanced Rather than Reduced Activity against SARS-CoV-2 Variants. Journal of Virology. 95(19). e0068521–e0068521. 25 indexed citations

Nannini, Francesco, Reyisa Bughda, James Sillibourne, et al.. (2020). Combining phage display with SMRTbell next-generation sequencing for the rapid discovery of functional scFv fragments. mAbs. 13(1). 1864084–1864084. 16 indexed citations

Ferrari, Mathieu, Vania Baldan, Reyisa Bughda, et al.. (2020). Abstract 2183: Targeting TRBC1 and 2 for the treatment of T cell lymphomas. Cancer Research. 80(16_Supplement). 2183–2183. 5 indexed citations

Onuoha, Shimobi, Mathieu Ferrari, Anna Bulek, et al.. (2018). Structure Guided Engineering of Highly Specific Chimeric Antigen Receptors for the Treatment of T Cell Lymphomas. Blood. 132(Supplement 1). 1661–1661. 8 indexed citations

Lee, Lydia, Benjamin Draper, Brian Philip, et al.. (2017). An APRIL-based chimeric antigen receptor for dual targeting of BCMA and TACI in multiple myeloma. Blood. 131(7). 746–758. 134 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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