David A. Delgado

612 total citations
10 papers, 435 citations indexed

About

David A. Delgado is a scholar working on Oncology, Immunology and Pathology and Forensic Medicine. According to data from OpenAlex, David A. Delgado has authored 10 papers receiving a total of 435 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Oncology, 6 papers in Immunology and 5 papers in Pathology and Forensic Medicine. Recurrent topics in David A. Delgado's work include Immune Cell Function and Interaction (5 papers), Lymphoma Diagnosis and Treatment (5 papers) and CAR-T cell therapy research (3 papers). David A. Delgado is often cited by papers focused on Immune Cell Function and Interaction (5 papers), Lymphoma Diagnosis and Treatment (5 papers) and CAR-T cell therapy research (3 papers). David A. Delgado collaborates with scholars based in United States and South Korea. David A. Delgado's co-authors include Adrian V. Lee, Joan M. Carboni, Brian C. Grabiner, Michael T. Lewis, Tai W. Wong, Xin Lin, Xiaojiang Cui, Beate C. Litzenburger, Hyun Jung Kim and Ricardo M. Attar and has published in prestigious journals such as Blood, The Journal of Immunology and Molecular and Cellular Biology.

In The Last Decade

David A. Delgado

10 papers receiving 426 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David A. Delgado United States 7 245 193 112 109 79 10 435
Naila Chughtai Canada 9 326 1.3× 343 1.8× 106 0.9× 106 1.0× 37 0.5× 9 559
Boris Freydin United States 10 241 1.0× 274 1.4× 117 1.0× 32 0.3× 38 0.5× 17 470
Leighton C. Stein United States 10 207 0.8× 132 0.7× 111 1.0× 65 0.6× 27 0.3× 18 397
Valentina Manfé Denmark 11 267 1.1× 72 0.4× 169 1.5× 121 1.1× 49 0.6× 15 461
Tharu M. Fernando United States 9 252 1.0× 213 1.1× 59 0.5× 59 0.5× 71 0.9× 19 449
Shannon L. Gibson United States 7 426 1.7× 238 1.2× 194 1.7× 26 0.2× 39 0.5× 8 548
Emanuela Roccato Italy 8 180 0.7× 134 0.7× 49 0.4× 31 0.3× 38 0.5× 8 363
Azadeh Arabi Iran 11 672 2.7× 193 1.0× 123 1.1× 46 0.4× 35 0.4× 14 795
Tang Bu-jian China 8 205 0.8× 125 0.6× 120 1.1× 52 0.5× 33 0.4× 15 385
Zhefu Ma United States 12 551 2.2× 251 1.3× 145 1.3× 26 0.2× 22 0.3× 12 634

Countries citing papers authored by David A. Delgado

Since Specialization
Citations

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

Fields of papers citing papers by David A. Delgado

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David A. Delgado. 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 David A. Delgado. The network helps show where David A. Delgado may publish in the future.

Co-authorship network of co-authors of David A. Delgado

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

All Works

10 of 10 papers shown
1.
Voo, Kui Shin, Myriam Foglietta, Elena Percivalle, et al.. (2014). Selective targeting of Toll-like receptors and OX40 inhibit regulatory T-cell function in follicular lymphoma. International Journal of Cancer. 135(12). 2834–2846. 25 indexed citations
2.
Rawal, Seema, Fuliang Chu, Min Zhang, et al.. (2013). Cross Talk between Follicular Th Cells and Tumor Cells in Human Follicular Lymphoma Promotes Immune Evasion in the Tumor Microenvironment. The Journal of Immunology. 190(12). 6681–6693. 70 indexed citations
3.
Rawal, Seema, Nathan Fowler, Min Zhang, et al.. (2012). Activation of T and NK Cells Following Lenalidomide Therapy in Patients with Follicular Lymphoma.. Blood. 120(21). 2766–2766. 5 indexed citations
4.
Weng, Jinsheng, Seema Rawal, Fuliang Chu, et al.. (2012). TCL1: a shared tumor-associated antigen for immunotherapy against B-cell lymphomas. Blood. 120(8). 1613–1623. 22 indexed citations
5.
Rawal, Seema, Hyun Jun Park, Fuliang Chu, et al.. (2011). Role of IL-4 in Inducing Immunosuppressive Tumor Microenvironment in Follicular Lymphoma. Blood. 118(21). 771–771. 6 indexed citations
6.
Kannan, Shibichakravarthy, Fuliang Chu, Seema Rawal, et al.. (2011). Cross-Talk Between Tumor B Cells, Follicular Dendritic Cells, and Follicular Helper T Cells: Implications for Follicular Lymphoma Pathogenesis and Therapy,. Blood. 118(21). 3696–3696. 1 indexed citations
7.
Dearth, Robert K., David A. Delgado, Jill K. Hiney, et al.. (2010). Parity-Induced Decrease in Systemic Growth Hormone Alters Mammary Gland Signaling: A Potential Role in Pregnancy Protection from Breast Cancer. Cancer Prevention Research. 3(3). 312–321. 15 indexed citations
8.
Hampton, Oliver, Petra den Hollander, Christopher A. Miller, et al.. (2008). A sequence-level map of chromosomal breakpoints in the MCF-7 breast cancer cell line yields insights into the evolution of a cancer genome. Genome Research. 19(2). 167–177. 94 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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