David Dang

649 citations
9 papers · 492 indexed · h-index 6
Topics
Cancer-related molecular mechanisms research (2 papers)Advanced Biosensing Techniques and Applications (1 paper)RNA modifications and cancer (1 paper)
Partner nations
United States

In The Last Decade

David Dang

9 papers receiving 475 citations

Peers

David Dang
Comparison fields: 5 of 88
  • Pulmonary and Respiratory Medicine 158
  • Molecular Biology 136
  • Clinical Psychology 96
  • Experimental and Cognitive Psychology 64
  • Physiology 61
Replace Kristen Leraas with:
Kristen Leraas United States
Jennifer L. Crawford United States
Sheng Feng China
Liping Fu China
Merel M. Pannebakker United Kingdom
Ljiljana Kočoska-Maraš Sweden
Line Olsen Denmark
Sarah Cooper United States
Enoch Ng Canada
Ruby Y. Takushi United States
David Dang relative to Kristen Leraas United States Kristen Leraas's profile →
Citations per field
00.5×9.9×
Kristen Leraas · 1×
Citations per year

Countries citing papers authored by David Dang

Since Specialization
Citations

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

Fields of papers citing papers by David Dang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Dang

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

All Works

9 of 9 papers shown
#WorkIndexed citations
1
Quantum biosensing on a multiplexed functionalized diamond microarray
1
2 1
3 2
4 167
5 20
6 15
7 74
8 190
9 22

About David Dang

David Dang is a scholar working on Applied Psychology, Experimental and Cognitive Psychology and Cancer Research, having authored 9 papers that have together received 492 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (2 papers), Advanced Biosensing Techniques and Applications (1 paper) and RNA modifications and cancer (1 paper). The work is most often cited by research in General Decision Sciences (33 citations), Applied Psychology (39 citations) and Experimental and Cognitive Psychology (64 citations). David Dang has collaborated with scholars based in United States. Frequent co-authors include Matthew Teater, Ronald G. Crystal, Ben‐Gary Harvey, Dan T. A. Eisenberg, Meera E. Modi, J. Koji Lum, James MacKillop, Stephen A. Lisman, David Sloan Wilson and Yael Strulovici‐Barel. Their work appears in journals such as Gastroenterology, Cellular and Molecular Life Sciences and Molecular Cancer.

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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