Daniel S. Bejan

625 total citations · 1 hit paper
17 papers, 448 citations indexed

About

Daniel S. Bejan is a scholar working on Oncology, Molecular Biology and Electrical and Electronic Engineering. According to data from OpenAlex, Daniel S. Bejan has authored 17 papers receiving a total of 448 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Oncology, 9 papers in Molecular Biology and 5 papers in Electrical and Electronic Engineering. Recurrent topics in Daniel S. Bejan's work include PARP inhibition in cancer therapy (9 papers), Integrated Circuits and Semiconductor Failure Analysis (4 papers) and Nanoparticle-Based Drug Delivery (3 papers). Daniel S. Bejan is often cited by papers focused on PARP inhibition in cancer therapy (9 papers), Integrated Circuits and Semiconductor Failure Analysis (4 papers) and Nanoparticle-Based Drug Delivery (3 papers). Daniel S. Bejan collaborates with scholars based in United States, Canada and Thailand. Daniel S. Bejan's co-authors include Moataz Reda, Wassana Yantasee, Worapol Ngamcherdtrakul, Joe W. Gray, Natnaree Siriwon, Ruijie Wang, Molly A. Nelson, Shenda Gu, Gordon B. Mills and Ngoc Ha Hoang and has published in prestigious journals such as Advanced Materials, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Daniel S. Bejan

16 papers receiving 447 citations

Hit Papers

Development of a nanoparticle-based immunotherapy targeti... 2022 2026 2023 2024 2022 40 80 120

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel S. Bejan United States 9 217 174 150 104 97 17 448
Giulia Pellizzari United Kingdom 8 253 1.2× 160 0.9× 111 0.7× 143 1.4× 105 1.1× 12 570
Isabella Monia Montagner Italy 12 186 0.9× 183 1.1× 66 0.4× 121 1.2× 86 0.9× 23 484
Charlene Santos United States 11 175 0.8× 137 0.8× 110 0.7× 33 0.3× 124 1.3× 20 416
Erica N. Bozeman United States 13 209 1.0× 176 1.0× 161 1.1× 211 2.0× 121 1.2× 20 524
Shengxin Huang China 11 115 0.5× 92 0.5× 165 1.1× 116 1.1× 75 0.8× 17 439
Shuzhen Tan China 6 250 1.2× 239 1.4× 138 0.9× 182 1.8× 46 0.5× 9 586
Hang Yu United States 11 223 1.0× 113 0.6× 124 0.8× 78 0.8× 111 1.1× 26 432
Guizhu Yang China 11 214 1.0× 161 0.9× 117 0.8× 77 0.7× 42 0.4× 13 408
Mi-Ran Choi United States 11 239 1.1× 134 0.8× 137 0.9× 89 0.9× 103 1.1× 16 528
Jingyao Tu China 13 182 0.8× 177 1.0× 108 0.7× 142 1.4× 37 0.4× 27 466

Countries citing papers authored by Daniel S. Bejan

Since Specialization
Citations

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

Fields of papers citing papers by Daniel S. Bejan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel S. Bejan

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

All Works

17 of 17 papers shown
1.
Bejan, Daniel S., et al.. (2025). RNF114 and RNF166 exemplify reader-writer E3 ligases that extend K11 polyubiquitin onto sites of MARUbylation. The EMBO Journal. 44(21). 5993–6018.
2.
Bejan, Daniel S., Yating Chen, Ellen L. Suder, et al.. (2025). PARP14 is an interferon-induced host factor that promotes IFN production and affects the replication of multiple viruses. mBio. 16(10). e0229925–e0229925. 2 indexed citations
3.
Bejan, Daniel S., et al.. (2025). Ubiquitin is directly linked via an ester to protein-conjugated mono-ADP-ribose. The EMBO Journal. 44(8). 2211–2231. 11 indexed citations
4.
Bejan, Daniel S., et al.. (2024). A Genetically Encoded Sensor for Real-Time Monitoring of Poly-ADP-Ribosylation Dynamics In Vitro and in Cells. ACS Sensors. 9(10). 5246–5252. 1 indexed citations
5.
Ngamcherdtrakul, Worapol, Daniel S. Bejan, William Cruz‐Muñoz, et al.. (2022). Targeted Nanoparticle for Co‐delivery of HER2 siRNA and a Taxane to Mirror the Standard Treatment of HER2+ Breast Cancer: Efficacy in Breast Tumor and Brain Metastasis. Small. 18(11). e2107550–e2107550. 42 indexed citations
6.
Langelier, Marie-France, Ilsa T. Kirby, Daniel S. Bejan, et al.. (2022). Allosteric regulation of DNA binding and target residence time drive the cytotoxicity of phthalazinone-based PARP-1 inhibitors. Cell chemical biology. 29(12). 1694–1708.e10. 7 indexed citations
7.
Reda, Moataz, Worapol Ngamcherdtrakul, Molly A. Nelson, et al.. (2022). Development of a nanoparticle-based immunotherapy targeting PD-L1 and PLK1 for lung cancer treatment. Nature Communications. 13(1). 4261–4261. 140 indexed citations breakdown →
8.
Bejan, Daniel S., Sunil K. Sundalam, Carsten Schultz, et al.. (2022). Structurally distinct PARP7 inhibitors provide new insights into the function of PARP7 in regulating nucleic acid-sensing and IFN-β signaling. Cell chemical biology. 30(1). 43–54.e8. 26 indexed citations
9.
Bejan, Daniel S. & Michael S. Cohen. (2022). Methods for profiling the target and off-target landscape of PARP inhibitors. SHILAP Revista de lepidopterología. 2. 100027–100027. 5 indexed citations
11.
Bejan, Daniel S., Sunil K. Sundalam, Haihong Jin, et al.. (2022). Structure-guided design and characterization of a clickable, covalent PARP16 inhibitor. Chemical Science. 13(46). 13898–13906. 9 indexed citations
12.
Ngamcherdtrakul, Worapol, Moataz Reda, Molly A. Nelson, et al.. (2021). In Situ Tumor Vaccination with Nanoparticle Co‐Delivering CpG and STAT3 siRNA to Effectively Induce Whole‐Body Antitumor Immune Response. Advanced Materials. 33(31). e2100628–e2100628. 61 indexed citations
13.
Palve, Vinayak, Claire E. Knezevic, Daniel S. Bejan, et al.. (2021). The non-canonical target PARP16 contributes to polypharmacology of the PARP inhibitor talazoparib and its synergy with WEE1 inhibitors. Cell chemical biology. 29(2). 202–214.e7. 25 indexed citations
14.
Reda, Moataz, Worapol Ngamcherdtrakul, Shenda Gu, et al.. (2019). PLK1 and EGFR targeted nanoparticle as a radiation sensitizer for non-small cell lung cancer. Cancer Letters. 467. 9–18. 56 indexed citations
15.
Ngamcherdtrakul, Worapol, Jingga Morry, Thanapon Sangvanich, et al.. (2019). Removal of a gadolinium based contrast agent by a novel sorbent hemoperfusion in a chronic kidney disease (CKD) rodent model. Scientific Reports. 9(1). 709–709. 6 indexed citations
16.
Bejan, Daniel S., et al.. (2019). β-Chain Hydrogen-Bonding in 4-Hydroxycoumarins. Journal of Chemical Crystallography. 50(4). 387–399. 1 indexed citations
17.
Ngamcherdtrakul, Worapol, Thanapon Sangvanich, Moataz Reda, et al.. (2018). Lyophilization and stability of antibody-conjugated mesoporous silica nanoparticle with cationic polymer and PEG for siRNA delivery. International Journal of Nanomedicine. Volume 13. 4015–4027. 55 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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