Benjamin J. Daniel

2.0k total citations
32 papers, 1.1k citations indexed

About

Benjamin J. Daniel is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Benjamin J. Daniel has authored 32 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Immunology, 8 papers in Molecular Biology and 8 papers in Oncology. Recurrent topics in Benjamin J. Daniel's work include T-cell and B-cell Immunology (9 papers), Immune Cell Function and Interaction (8 papers) and Immunotherapy and Immune Responses (6 papers). Benjamin J. Daniel is often cited by papers focused on T-cell and B-cell Immunology (9 papers), Immune Cell Function and Interaction (8 papers) and Immunotherapy and Immune Responses (6 papers). Benjamin J. Daniel collaborates with scholars based in United States, United Kingdom and Switzerland. Benjamin J. Daniel's co-authors include Tyler J. Curiel, Tahiro Shin, Linda F. Thompson, Dachuan Jin, Aijie Liu, Bin Zhang, Jie Fan, Long Wang, Aníbal Diogenes and Vanessa Chrepa and has published in prestigious journals such as Bioinformatics, The Journal of Immunology and PLoS ONE.

In The Last Decade

Benjamin J. Daniel

30 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Benjamin J. Daniel United States 15 353 329 249 217 133 32 1.1k
Ana Carolina Monteiro Brazil 17 175 0.5× 317 1.0× 219 0.9× 46 0.2× 201 1.5× 37 871
Grant Otto United States 22 289 0.8× 615 1.9× 51 0.2× 53 0.2× 43 0.3× 81 1.8k
Janis J. Weis United States 6 322 0.9× 512 1.6× 360 1.4× 17 0.1× 60 0.5× 6 1.4k
Carrie L. Seachord United States 21 389 1.1× 492 1.5× 119 0.5× 26 0.1× 164 1.2× 25 1.5k
Roberto Maldonado United States 15 1.0k 2.8× 545 1.7× 199 0.8× 28 0.1× 25 0.2× 28 2.1k
Slim Sassi United States 11 110 0.3× 403 1.2× 62 0.2× 20 0.1× 39 0.3× 14 672
Dawn Cooper Canada 17 311 0.9× 440 1.3× 58 0.2× 11 0.1× 140 1.1× 35 1.0k
Fuping Zhang China 15 849 2.4× 290 0.9× 173 0.7× 16 0.1× 117 0.9× 32 1.3k
Adriana R. Mantegazza United States 11 1.0k 2.9× 446 1.4× 69 0.3× 46 0.2× 24 0.2× 19 1.4k
Thanh Kha Phan Australia 23 505 1.4× 1.2k 3.8× 78 0.3× 18 0.1× 40 0.3× 36 1.7k

Countries citing papers authored by Benjamin J. Daniel

Since Specialization
Citations

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

Fields of papers citing papers by Benjamin J. Daniel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Benjamin J. Daniel. 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 Benjamin J. Daniel. The network helps show where Benjamin J. Daniel may publish in the future.

Co-authorship network of co-authors of Benjamin J. Daniel

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

All Works

20 of 20 papers shown
1.
2.
Sintsova, Anna, Hans‐Joachim Ruscheweyh, Christopher M. Field, et al.. (2024). mBARq: a versatile and user-friendly framework for the analysis of DNA barcodes from transposon insertion libraries, knockout mutants, and isogenic strain populations. Bioinformatics. 40(2). 6 indexed citations
3.
Thibodeaux, Suzanne R., Srilakshmi Pandeswara, Vincent Hurez, et al.. (2021). IFNα Augments Clinical Efficacy of Regulatory T-cell Depletion with Denileukin Diftitox in Ovarian Cancer. Clinical Cancer Research. 27(13). 3661–3673. 12 indexed citations
4.
Stukenberg, Daniel, et al.. (2021). The Marburg Collection: A Golden Gate DNA Assembly Framework for Synthetic Biology Applications in Vibrio natriegens. ACS Synthetic Biology. 10(8). 1904–1919. 41 indexed citations
5.
Pfeilmeier, Sebastian, Gabriella C. Petti, Miriam Bortfeld‐Miller, et al.. (2021). The plant NADPH oxidase RBOHD is required for microbiota homeostasis in leaves. Nature Microbiology. 6(7). 852–864. 98 indexed citations
6.
Harris, Faith M., Benjamin J. Daniel, Mark Eckersdorff, et al.. (2021). Flow Cytometric Characterization of Murine B Cell Development. Journal of Visualized Experiments. 3 indexed citations
7.
Nkhoma, Standwell C., Simon G. Trevino, Shalini Nair, et al.. (2019). Co-transmission of Related Malaria Parasite Lineages Shapes Within-Host Parasite Diversity. Cell Host & Microbe. 27(1). 93–103.e4. 65 indexed citations
8.
Liang, Hanyu, et al.. (2018). A low dose lipid infusion is sufficient to induce insulin resistance and a pro-inflammatory response in human subjects. PLoS ONE. 13(4). e0195810–e0195810. 24 indexed citations
9.
Trevino, Simon G., Standwell C. Nkhoma, Shalini Nair, et al.. (2017). High-Resolution Single-Cell Sequencing of Malaria Parasites. Genome Biology and Evolution. 9(12). 3373–3383. 30 indexed citations
10.
Gao, Hui, Qiaoxiang Dong, Yuanhong Chen, et al.. (2016). Murine mammary stem/progenitor cell isolation: Different method matters?. SpringerPlus. 5(1). 140–140. 4 indexed citations
11.
Nair, Shalini, Standwell C. Nkhoma, David Serre, et al.. (2014). Single-cell genomics for dissection of complex malaria infections. Genome Research. 24(6). 1028–1038. 66 indexed citations
12.
Brumlik, Michael J., Srilakshmi Pandeswara, Sara Ludwig, et al.. (2013). TgMAPK1 is a Toxoplasma gondii MAP kinase that hijacks host MKK3 signals to regulate virulence and interferon-γ-mediated nitric oxide production. Experimental Parasitology. 134(3). 389–399. 13 indexed citations
13.
Hurez, Vincent, Benjamin J. Daniel, Lishi Sun, et al.. (2012). Mitigating Age-Related Immune Dysfunction Heightens the Efficacy of Tumor Immunotherapy in Aged Mice. Cancer Research. 72(8). 2089–2099. 82 indexed citations
14.
Jin, Dachuan, Jie Fan, Long Wang, et al.. (2010). CD73 on Tumor Cells Impairs Antitumor T-Cell Responses: A Novel Mechanism of Tumor-Induced Immune Suppression. Cancer Research. 70(6). 2245–2255. 343 indexed citations
15.
Lin, Pei‐Yi, Lishi Sun, Margaret E. Wierman, et al.. (2010). Sex-related differences in regulatory T cell function are estrogen and B7-H1 dependent (143.53). The Journal of Immunology. 184(Supplement_1). 143.53–143.53. 1 indexed citations
16.
Daniel, Benjamin J., Srilakshmi Pandeswara, Michael J. Brumlik, et al.. (2010). A simple method to detect Toxoplasma gondii-specific cytotoxic T cells in vivo. Journal of Immunological Methods. 355(1-2). 86–90. 2 indexed citations
17.
Barnett, Brian, Jens Rüter, Ilona Kryczek, et al.. (2008). Regulatory T cells. Advances in experimental medicine and biology. 622. 255–260. 3 indexed citations
18.
Brumlik, Michael J., Benjamin J. Daniel, Reinhard Waehler, et al.. (2007). Trends in immunoconjugate and ligand-receptor based targeting development for cancer therapy. Expert Opinion on Drug Delivery. 5(1). 87–103. 23 indexed citations
19.
Wei, Shuang, Benjamin J. Daniel, Michael J. Brumlik, et al.. (2007). Drugs Designed To Inhibit Human p38 Mitogen-Activated Protein Kinase Activation TreatToxoplasma gondiiandEncephalitozoon cuniculiInfection. Antimicrobial Agents and Chemotherapy. 51(12). 4324–4328. 23 indexed citations
20.
Rüter, Jens, Brian Barnett, Ilona Kryczek, et al.. (2006). Manipulating T regulatory cells in cancer immunotherapy. Expert Review of Dermatology. 1(4). 589–597. 3 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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