David J. Yang

4.7k total citations
145 papers, 3.7k citations indexed

About

David J. Yang is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, David J. Yang has authored 145 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Radiology, Nuclear Medicine and Imaging, 38 papers in Molecular Biology and 23 papers in Pulmonary and Respiratory Medicine. Recurrent topics in David J. Yang's work include Radiopharmaceutical Chemistry and Applications (44 papers), Medical Imaging Techniques and Applications (36 papers) and Cancer, Hypoxia, and Metabolism (19 papers). David J. Yang is often cited by papers focused on Radiopharmaceutical Chemistry and Applications (44 papers), Medical Imaging Techniques and Applications (36 papers) and Cancer, Hypoxia, and Metabolism (19 papers). David J. Yang collaborates with scholars based in United States, Japan and China. David J. Yang's co-authors include Donald A. Podoloff, Gary O. Rankin, Patrick I. Brown, Dongfang Yu, Vonda J. Teets, Tomio Inoue, Hạixia Chen, Shijie Liu, Franklin C. Wong and Ali Azhdarinia and has published in prestigious journals such as Journal of the American Chemical Society, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

David J. Yang

138 papers receiving 3.6k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
David J. Yang 1.4k 760 687 597 592 145 3.7k
Peter Schmezer 735 0.5× 839 1.1× 2.7k 4.0× 509 0.9× 2.3k 3.9× 138 5.8k
Xiaojing Zhang 410 0.3× 425 0.6× 1.7k 2.4× 306 0.5× 604 1.0× 184 3.9k
Chris van Bree 463 0.3× 1.2k 1.6× 2.3k 3.3× 622 1.0× 793 1.3× 47 4.4k
Jian Zhang 364 0.3× 353 0.5× 1.3k 1.9× 440 0.7× 260 0.4× 246 4.0k
Natarajan Venkatesan 345 0.3× 866 1.1× 1.7k 2.4× 246 0.4× 281 0.5× 87 3.4k
Hideyuki Tominaga 416 0.3× 594 0.8× 1.6k 2.3× 281 0.5× 491 0.8× 45 3.1k
Jin Ren 359 0.3× 333 0.4× 1.6k 2.3× 238 0.4× 894 1.5× 138 3.5k
Qiuping Liu 605 0.4× 283 0.4× 1.4k 2.1× 308 0.5× 597 1.0× 107 3.4k
Ye Yang 286 0.2× 742 1.0× 3.1k 4.6× 334 0.6× 1.1k 1.9× 231 4.9k
Youngjoo Byun 1.5k 1.1× 580 0.8× 1.1k 1.6× 1.1k 1.8× 122 0.2× 137 3.5k

Countries citing papers authored by David J. Yang

Since Specialization
Citations

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

Fields of papers citing papers by David J. Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David J. Yang

This figure shows the co-authorship network connecting the top 25 collaborators of David J. Yang. A scholar is included among the top collaborators of David J. Yang 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 J. Yang. David J. Yang 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.
Mourtada, Firas, et al.. (2024). Optimization Processes of Clinical Chelation-Based Radiopharmaceuticals for Pathway-Directed Targeted Radionuclide Therapy in Oncology. Pharmaceutics. 16(11). 1458–1458. 1 indexed citations
2.
Yang, David J., et al.. (2023). Practical phase retrieval using double deep image priors. Electronic Imaging. 35(14). 153–1. 5 indexed citations
3.
Lee, Yen‐Chun, et al.. (2021). Chelation-Tamoxifen Conjugates for Imaging of Estrogen Receptors. Cancer Biotherapy and Radiopharmaceuticals. 37(1). 30–40. 1 indexed citations
4.
Simon, Sérgio D., Zhiming Jin, Zhihong Xu, et al.. (2018). Efficient Synthesis of Glutamate Peptide-Estradiol Conjugate for Imaging Estrogen Receptor-Positive Diseases. BioMed Research International. 2018. 1–14. 4 indexed citations
5.
Smith, Daniel L., Fanlin Kong, David J. Yang, et al.. (2014). Patched Targeting Peptides for Imaging and Treatment of Hedgehog Positive Breast Tumors. BioMed Research International. 2014. 1–9. 6 indexed citations
6.
Kong, Fanlin, et al.. (2011). Targeted Nuclear Imaging of Breast Cancer: Status of Radiotracer Development and Clinical Applications. Cancer Biotherapy and Radiopharmaceuticals. 27(2). 105–112. 9 indexed citations
7.
Wu, Ji Yuan, et al.. (2009). Molecular imaging of Bcr-Abl phosphokinase in a xenograft model. Molecular Cancer Therapeutics. 8(3). 703–710. 6 indexed citations
8.
Azhdarinia, Ali, David J. Yang, Dongfang Yu, et al.. (2005). Regional Radiochemotherapy Using In Situ Hydrogel. Pharmaceutical Research. 22(5). 776–783. 27 indexed citations
9.
Yang, David J., Masashi Yukihiro, Dongfang Yu, et al.. (2004). Assessment of Therapeutic Tumor Response Using <SUP>99m</SUP>Tc-Ethylenedicysteine-Glucosamine. Cancer Biotherapy and Radiopharmaceuticals. 19(4). 443–456. 7 indexed citations
10.
Yang, David J., Masashi Yukihiro, Dongfang Yu, et al.. (2004). Assessment of Therapeutic Tumor Response Using 99mTc-Ethylenedicysteine-Glucosamine. Cancer Biotherapy and Radiopharmaceuticals. 19(4). 443–456. 33 indexed citations
11.
Yang, David J., Naomi R. Schechter, Dongfang Yu, et al.. (2002). Assessment of Antiangiogenic Effect Using 99m Tc-EC-Endostatin. Cancer Biotherapy and Radiopharmaceuticals. 17(2). 233–246. 37 indexed citations
12.
Yang, David J., Ali Azhdarinia, Peng Wu, et al.. (2001). In Vivo and In Vitro Measurement of Apoptosis in Breast Cancer Cells Using 99m Tc-EC-Annexin V. Cancer Biotherapy and Radiopharmaceuticals. 16(1). 73–83. 72 indexed citations
13.
Higuchi, Tetsuya, et al.. (1999). Biodistribution and scintigraphy of [111In]DTPA-adriamycin in mammary tumor-bearing rats. Anti-Cancer Drugs. 10(1). 89–96. 2 indexed citations
14.
Inoue, Tomio, Chun Li, David J. Yang, et al.. (1999). Evaluation of In-111 DTPA-paclitaxel scintigraphy to predict response on murine tumors to paclitaxel. Annals of Nuclear Medicine. 13(3). 169–174. 5 indexed citations
15.
Ilgan, Seyfettin, David J. Yang, Takahiro Higuchi, et al.. (1998). 99m Tc-Ethylenedicysteine-Folate: A New Tumor Imaging Agent. Synthesis, Labeling and Evaluation in Animals. Cancer Biotherapy and Radiopharmaceuticals. 13(6). 427–435. 40 indexed citations
16.
Diamandidou, Eleni, Jaffer A. Ajani, David J. Yang, et al.. (1998). Two-phase study of hepatic artery vascular occlusion with microencapsulated cisplatin in patients with liver metastases from neuroendocrine tumors.. American Journal of Roentgenology. 170(2). 339–344. 43 indexed citations
17.
Rappa, Germana, et al.. (1997). Disruption of the murine MRP (multidrug resistance protein) gene leads to increased sensitivity to etoposide (VP-16) and increased levels of glutathione.. PubMed. 57(23). 5238–42. 207 indexed citations
18.
Li, Chun, et al.. (1996). Biodistribution of cyclic carbonate of ioxilan: A radiopaque particulate macrophage imaging agent. Academic Radiology. 3(6). 500–506. 6 indexed citations
19.
Rankin, Gary O., et al.. (1991). N(3,5-dichlorophenyl)succinimide nephrotoxicity: evidence against the formation of nephrotoxic glutathione or cysteine conjugates. Toxicology. 68(3). 307–325. 14 indexed citations
20.
Yang, David J., et al.. (1986). In vitro effects of N-(3,5-Dichlorophenyl)succinimide on organic ion uptake by rat renal cortex. Fed. Proc., Fed. Am. Soc. Exp. Biol.; (United States). 2 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026