Denysha Carbonell

408 total citations
9 papers, 314 citations indexed

About

Denysha Carbonell is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Denysha Carbonell has authored 9 papers receiving a total of 314 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Immunology, 6 papers in Molecular Biology and 4 papers in Oncology. Recurrent topics in Denysha Carbonell's work include Immunotherapy and Immune Responses (7 papers), CAR-T cell therapy research (4 papers) and vaccines and immunoinformatics approaches (2 papers). Denysha Carbonell is often cited by papers focused on Immunotherapy and Immune Responses (7 papers), CAR-T cell therapy research (4 papers) and vaccines and immunoinformatics approaches (2 papers). Denysha Carbonell collaborates with scholars based in United States, France and India. Denysha Carbonell's co-authors include Robert O. Dillman, Andrew N. Cornforth, Jessica Scholes, Alan L. Hiti, Jiing‐Kuan Yee, Punam Malik, Licheng Zeng, Geetha Puthenveetil, Shulian Li and Ying Yu and has published in prestigious journals such as Blood, Cancer Research and International Journal of Cancer.

In The Last Decade

Denysha Carbonell

9 papers receiving 306 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Denysha Carbonell United States	8	167	118	111	106	55	9	314
Alexandra Miggelbrink United States	5	137 0.8×	152 1.3×	60 0.5×	136 1.3×	30 0.5×	6	320
Luca Basso‐Ricci Italy	7	145 0.9×	104 0.9×	90 0.8×	121 1.1×	53 1.0×	9	314
Jinhua Bayford United Kingdom	3	258 1.5×	69 0.6×	274 2.5×	173 1.6×	18 0.3×	4	365
Rena Levin-Klein Israel	9	275 1.6×	75 0.6×	49 0.4×	54 0.5×	11 0.2×	11	378
S Podda United States	5	248 1.5×	51 0.4×	212 1.9×	126 1.2×	11 0.2×	8	356
Hanem Sadek France	6	70 0.4×	80 0.7×	64 0.6×	28 0.3×	25 0.5×	10	167
Sebastian Hütker Germany	5	257 1.5×	53 0.4×	56 0.5×	22 0.2×	30 0.5×	6	387
Nina Poliak United States	4	194 1.2×	128 1.1×	76 0.7×	123 1.2×	6 0.1×	7	368
Rachana Nagar India	5	128 0.8×	114 1.0×	14 0.1×	104 1.0×	33 0.6×	7	285
Alvin Luk China	7	245 1.5×	50 0.4×	173 1.6×	129 1.2×	66 1.2×	18	583

Countries citing papers authored by Denysha Carbonell

Since Specialization

Citations

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

Fields of papers citing papers by Denysha Carbonell

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Denysha Carbonell

This figure shows the co-authorship network connecting the top 25 collaborators of Denysha Carbonell. A scholar is included among the top collaborators of Denysha Carbonell 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 Denysha Carbonell. Denysha Carbonell 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

Dillman, Robert O., Edward F. McClay, Thomas Amatruda, et al.. (2016). Abstract CT105: Randomized trial of dendritic vs tumor cell patient-specific vaccines: 5-year analysis. Cancer Research. 76(14_Supplement). CT105–CT105. 1 indexed citations

Dillman, Robert O., Andrew N. Cornforth, Carol DePriest, et al.. (2012). Tumor Stem Cell Antigens as Consolidative Active Specific Immunotherapy. Journal of Immunotherapy. 35(8). 641–649. 60 indexed citations

Cornforth, Andrew N., et al.. (2011). Characterization of Interferon-γ–Treated Melanoma Tumor Cells for Use in Dendritic Cell-Based Immunotherapy. Cancer Biotherapy and Radiopharmaceuticals. 26(3). 345–351. 23 indexed citations

Selvan, Senthamil R., et al.. (2010). Establishment of stable cell lines for personalized melanoma cell vaccine. Melanoma Research. 20(4). 280–292. 23 indexed citations

Cornforth, Andrew N., et al.. (2010). Resistance to the proapoptotic effects of interferon-gamma on melanoma cells used in patient-specific dendritic cell immunotherapy is associated with improved overall survival. Cancer Immunology Immunotherapy. 60(1). 123–131. 11 indexed citations

Cornforth, Andrew N., et al.. (2009). Increases in Serum TARC/CCL17 Levels Are Associated with Progression-Free Survival in Advanced Melanoma Patients in Response to Dendritic Cell-Based Immunotherapy. Journal of Clinical Immunology. 29(5). 657–664. 17 indexed citations

Selvan, Senthamil R., et al.. (2007). Monitoring response to treatment in melanoma patients: Potential of a serum glycomic marker. International Journal of Cancer. 122(6). 1374–1383. 12 indexed citations

Puthenveetil, Geetha, Jessica Scholes, Denysha Carbonell, et al.. (2004). Successful correction of the human β-thalassemia major phenotype using a lentiviral vector. Blood. 104(12). 3445–3453. 144 indexed citations

Capiaumont, J., C. Legrand, Denysha Carbonell, et al.. (1995). Methods for reducing the ammonia in hybridoma cell cultures. Journal of Biotechnology. 39(1). 49–58. 23 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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