Daniel Wang

9.9k total citations · 2 hit papers
58 papers, 2.2k citations indexed

About

Daniel Wang is a scholar working on Oncology, Immunology and Molecular Biology. According to data from OpenAlex, Daniel Wang has authored 58 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Oncology, 20 papers in Immunology and 11 papers in Molecular Biology. Recurrent topics in Daniel Wang's work include Cancer Immunotherapy and Biomarkers (21 papers), Immunotherapy and Immune Responses (11 papers) and CAR-T cell therapy research (10 papers). Daniel Wang is often cited by papers focused on Cancer Immunotherapy and Biomarkers (21 papers), Immunotherapy and Immune Responses (11 papers) and CAR-T cell therapy research (10 papers). Daniel Wang collaborates with scholars based in United States, Australia and Canada. Daniel Wang's co-authors include Douglas B. Johnson, Yukiko Kiniwa, Kui Shin Voo, Tihui Fu, Guangyong Peng, Zhong Guo, Helen Y. Wang, Rongfu Wang, Yanchun Li and Weiyi Peng and has published in prestigious journals such as Science, Blood and The Journal of Immunology.

In The Last Decade

Daniel Wang

53 papers receiving 2.2k citations

Hit Papers

Toll-Like Receptor 8-Mediated Reversal of CD4 + Regulator... 2005 2026 2012 2019 2005 2014 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Wang United States 21 811 800 564 461 197 58 2.2k
Tadakazu Kondo Japan 31 734 0.9× 1.1k 1.3× 1.0k 1.8× 433 0.9× 133 0.7× 196 3.3k
Ollivier Hyrien United States 23 325 0.4× 266 0.3× 428 0.8× 351 0.8× 159 0.8× 79 1.7k
Janice M. Mehnert United States 25 363 0.4× 1.5k 1.9× 1.0k 1.8× 941 2.0× 438 2.2× 89 2.7k
Sabina Berezowska Switzerland 27 622 0.8× 538 0.7× 926 1.6× 427 0.9× 590 3.0× 114 2.4k
Fan Xia China 24 233 0.3× 540 0.7× 614 1.1× 266 0.6× 281 1.4× 115 1.9k
Kun Jiang United States 29 698 0.9× 771 1.0× 1.0k 1.8× 199 0.4× 222 1.1× 83 2.4k
Yong Cai China 24 296 0.4× 910 1.1× 944 1.7× 221 0.5× 203 1.0× 103 2.3k
Xiaojin Wu China 21 687 0.8× 480 0.6× 841 1.5× 153 0.3× 108 0.5× 124 2.0k
Gregory Riedlinger United States 22 453 0.6× 749 0.9× 728 1.3× 154 0.3× 321 1.6× 54 1.9k

Countries citing papers authored by Daniel Wang

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Wang. A scholar is included among the top collaborators of Daniel Wang 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 Daniel Wang. Daniel Wang 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.
Chen, Natalie, Daniel Wang, Caroline E. Porter, et al.. (2023). Abstract P3-06-04: Treatment of Metastatic Breast Cancer with Multipotent Oncolytic/Helper Adenovirus CAdVEC. Cancer Research. 83(5_Supplement). P3–6. 2 indexed citations
2.
Villabona-Rueda, A.F., Daniel Wang, & Franco R. D’Alessio. (2023). Experimental Model to Evaluate Resolution of Pneumonia. Journal of Visualized Experiments. 1 indexed citations
4.
Wang, Daniel, et al.. (2023). Effect of chimeric antigen receptor T cells against protease-activated receptor 1 for treating pancreatic cancer. BMC Medicine. 21(1). 338–338. 7 indexed citations
5.
Florez, Marcus A., Anita L. Sabichi, Daniel Wang, et al.. (2022). Persistent Ethnicity-Associated Disparity in Antitumor Effectiveness of Immune Checkpoint Inhibitors Despite Equal Access. Cancer Research Communications. 2(8). 806–813. 20 indexed citations
6.
Tchakarov, Amanda, et al.. (2022). The Use of Rituximab in Treatment of Immune Checkpoint Inhibitor Induced Glomerulonephritis. Journal of the American Society of Nephrology. 33(11S). 374–374.
7.
Jang, Hee-Jin, Hyun‐Sung Lee, Wendong Yu, et al.. (2022). Therapeutic Targeting of Macrophage Plasticity Remodels the Tumor-Immune Microenvironment. Cancer Research. 82(14). 2593–2609. 9 indexed citations
8.
Lee, Hyun‐Sung, Hee-Jin Jang, Maheshwari Ramineni, et al.. (2022). A Phase II Window of Opportunity Study of Neoadjuvant PD-L1 versus PD-L1 plus CTLA-4 Blockade for Patients with Malignant Pleural Mesothelioma. Clinical Cancer Research. 29(3). 548–559. 25 indexed citations
9.
Dearden, Helen Clare, Lewis Au, Daniel Wang, et al.. (2021). Hyperacute toxicity with combination ipilimumab and anti-PD1 immunotherapy. European Journal of Cancer. 153. 168–178. 24 indexed citations
10.
Johnson, Douglas B., Justine V. Cohen, Alexandra M. Haugh, et al.. (2019). Anti–PD-1–Induced Pneumonitis Is Associated with Persistent Imaging Abnormalities in Melanoma Patients. Cancer Immunology Research. 7(11). 1755–1759. 20 indexed citations
11.
McKinney, K. A., Daniel Wang, Jianhuai Ye, et al.. (2019). A sampler for atmospheric volatile organic compounds by copter unmanned aerial vehicles. Atmospheric measurement techniques. 12(6). 3123–3135. 53 indexed citations
12.
Saab, Karim R., Meghan J. Mooradian, Daniel Wang, et al.. (2018). Tolerance and efficacy of BRAF plus MEK inhibition in patients with melanoma who previously have received programmed cell death protein 1‐based therapy. Cancer. 125(6). 884–891. 40 indexed citations
13.
Wang, Daniel, Zeynep Eroglu, Alpaslan Özgün, et al.. (2017). Clinical Features of Acquired Resistance to Anti–PD-1 Therapy in Advanced Melanoma. Cancer Immunology Research. 5(5). 357–362. 35 indexed citations
15.
Wang, Daniel & Kaitlin M. Bratlie. (2015). Influence of Polymer Chemistry on Cytokine Secretion from Polarized Macrophages. ACS Biomaterials Science & Engineering. 1(3). 166–174. 21 indexed citations
16.
Subrath, Joan, Daniel Wang, Biqi Wu, et al.. (2009). C-5 Substituted heteroaryl 3-pyridinecarbonitriles as PKCθ inhibitors: Part I. Bioorganic & Medicinal Chemistry Letters. 19(18). 5423–5425. 16 indexed citations
17.
Ho, Melisa W-Y., Bijia Deng, Stephen C. Benoit, et al.. (2009). Comparison of Dexamethasone and Cyclosporine to selective protein Kinase C-theta inhibitor effects on blood IL-2 production and T cell activation (35.32). The Journal of Immunology. 182(Supplement_1). 35.32–35.32. 3 indexed citations
18.
Chaudhary, Divya, Diane H. Boschelli, Andrea G. Bree, et al.. (2009). Characterization of a selective Protein Kinase C theta (PKCθ) inhibitor for blocking T Cell responses (93.21). The Journal of Immunology. 182(Supplement_1). 93.21–93.21. 1 indexed citations
19.
Dimitrakakis, Constantine, Jian Zhou, Jie Wang, et al.. (2006). Co-expression of estrogen receptor-alpha and targets of estrogen receptor action in proliferating monkey mammary epithelial cells. Breast Cancer Research. 8(1). R10–R10. 10 indexed citations
20.
Peng, Guangyong, Zhong Guo, Yukiko Kiniwa, et al.. (2005). Toll-Like Receptor 8-Mediated Reversal of CD4 + Regulatory T Cell Function. Science. 309(5739). 1380–1384. 603 indexed citations breakdown →

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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