Fernanda Castro

956 total citations
8 papers, 242 citations indexed

About

Fernanda Castro is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Fernanda Castro has authored 8 papers receiving a total of 242 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Immunology, 4 papers in Oncology and 2 papers in Molecular Biology. Recurrent topics in Fernanda Castro's work include Immunotherapy and Immune Responses (5 papers), T-cell and B-cell Immunology (4 papers) and Acute Lymphoblastic Leukemia research (2 papers). Fernanda Castro is often cited by papers focused on Immunotherapy and Immune Responses (5 papers), T-cell and B-cell Immunology (4 papers) and Acute Lymphoblastic Leukemia research (2 papers). Fernanda Castro collaborates with scholars based in United Kingdom, United States and Netherlands. Fernanda Castro's co-authors include Sonya James, Martin J. Glennie, Ann L. White, Alison L. Tutt, Ruth R. French, Jessica L. Teeling, Peter L. Stern, Andrzej Rutkowski, Crispin Miller and Georgi K. Marinov and has published in prestigious journals such as Blood, PLoS ONE and European Journal of Immunology.

In The Last Decade

Fernanda Castro

8 papers receiving 241 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Fernanda Castro United Kingdom	6	145	89	64	40	26	8	242
Gregory Bannish United States	10	272 1.9×	100 1.1×	67 1.0×	64 1.6×	14 0.5×	14	407
Laura George United Kingdom	5	321 2.2×	191 2.1×	62 1.0×	56 1.4×	14 0.5×	6	515
Iga Janowska Germany	8	118 0.8×	58 0.7×	38 0.6×	24 0.6×	7 0.3×	14	236
E Nößner Germany	8	291 2.0×	142 1.6×	46 0.7×	19 0.5×	12 0.5×	10	427
Elyana Matayeva United States	3	328 2.3×	91 1.0×	95 1.5×	75 1.9×	11 0.4×	7	387
Subramanian Muthukkumar United States	9	180 1.2×	137 1.5×	62 1.0×	52 1.3×	10 0.4×	9	358
Christine Federle Germany	7	372 2.6×	115 1.3×	62 1.0×	27 0.7×	12 0.5×	10	472
Alexander Karnowski Australia	10	223 1.5×	90 1.0×	31 0.5×	40 1.0×	7 0.3×	11	333
Lirong Cheng United States	9	232 1.6×	54 0.6×	56 0.9×	19 0.5×	18 0.7×	14	345

Countries citing papers authored by Fernanda Castro

Since Specialization

Citations

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

Fields of papers citing papers by Fernanda Castro

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fernanda Castro

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

All Works

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8 of 8 papers shown

Ghorashian, Sara, Anne Marijn Kramer, Sarah J. Albon, et al.. (2016). A Novel Second Generation CD19 CAR for Therapy of High Risk/Relapsed Paediatric CD19+ Acute Lymphoblastic Leukaemia and Other Haematological Malignancies: Preliminary Results from the Carpall Study. Blood. 128(22). 4026–4026. 1 indexed citations

Castro, Fernanda, Shekhar Krishnan, Georgi K. Marinov, et al.. (2012). 5T4 oncofetal antigen is expressed in high risk of relapse childhood pre-B acute lymphoblastic leukemia and is associated with a more invasive and chemotactic phenotype. Leukemia. 26(7). 1487–1498. 24 indexed citations

Castro, Fernanda, Hui‐Rong Jiang, Jan W. Drijfhout, et al.. (2011). Regulation of autologous immunity to the mouse 5T4 oncofoetal antigen: implications for immunotherapy. Cancer Immunology Immunotherapy. 61(7). 1005–1018. 7 indexed citations

Holland, Mark, Fernanda Castro, Duncan L. Smith, et al.. (2011). RAC2, AEP, and ICAM1 expression are associated with CNS disease in a mouse model of pre-B childhood acute lymphoblastic leukemia. Blood. 118(3). 638–649. 42 indexed citations

Manuel, Edwin R., et al.. (2011). Suppressing Immunosuppressive Pathways by RNA Interference Synergizes with Tumor Antigen Vaccines Causing Long-Term Regression of Established Subcutaneous Lymphomas. Blood. 118(21). 106–106. 1 indexed citations

Southgate, Thomas D., Fernanda Castro, Andrzej Rutkowski, et al.. (2010). CXCR4 Mediated Chemotaxis Is Regulated by 5T4 Oncofetal Glycoprotein in Mouse Embryonic Cells. PLoS ONE. 5(4). e9982–e9982. 40 indexed citations

White, Ann L., Alison L. Tutt, Sonya James, et al.. (2010). Ligation of CD11c during vaccination promotes germinal centre induction and robust humoral responses without adjuvant. Immunology. 131(1). 141–151. 34 indexed citations

Castro, Fernanda, Alison L. Tutt, Ann L. White, et al.. (2008). CD11c provides an effective immunotarget for the generation of both CD4 and CD8 T cell responses. European Journal of Immunology. 38(8). 2263–2273. 93 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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