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, Shijie Liu, Hạixia Chen, 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

Peers

David J. Yang
Comparison fields: 5 of 141
  • Radiology, Nuclear Medicine and Imaging 1.4k
  • Oncology 760
  • Molecular Biology 687
  • Pulmonary and Respiratory Medicine 597
  • Cancer Research 592
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Peter Schmezer Germany View profile →
Citations per field, relative to David J. Yang
David J. Yang · 1×
Citations per year, relative to David J. Yang
David J. Yang · 1×

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
# Work Indexed citations
1 1
2 5
3 4
4 6
5 9
6 6
7 42
8 33
9 7
10 37
11 72
12 2
13 40
14 43
15
Disruption of the murine MRP (multidrug resistance protein) gene leads to increased sensitivity to etoposide (VP-16) and increased levels of glutathione.
207
16 12
17 4
18 4
19 53
20
In vitro effects of N-(3,5-Dichlorophenyl)succinimide on organic ion uptake by rat renal cortex
2

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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