David H. Quach

428 total citations
14 papers, 329 citations indexed

About

David H. Quach is a scholar working on Oncology, Immunology and Pathology and Forensic Medicine. According to data from OpenAlex, David H. Quach has authored 14 papers receiving a total of 329 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Oncology, 7 papers in Immunology and 4 papers in Pathology and Forensic Medicine. Recurrent topics in David H. Quach's work include CAR-T cell therapy research (9 papers), Immune Cell Function and Interaction (7 papers) and Nerve injury and regeneration (4 papers). David H. Quach is often cited by papers focused on CAR-T cell therapy research (9 papers), Immune Cell Function and Interaction (7 papers) and Nerve injury and regeneration (4 papers). David H. Quach collaborates with scholars based in United States and Philippines. David H. Quach's co-authors include Cliona M. Rooney, Warren G. Tourtellotte, Peter E. Campos, DeAnna L. Adkins, Mark D. Borromeo, Malcolm K. Brenner, Helen E. Heslop, Royce Ma, Mary K. McKenna and John Hicks and has published in prestigious journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

David H. Quach

13 papers receiving 325 citations

Peers

David H. Quach
Comparison fields: 5 of 56
  • Oncology 173
  • Molecular Biology 94
  • Genetics 85
  • Immunology 74
  • Cellular and Molecular Neuroscience 63
Replace Yufeng Lu with:
Yufeng Lu China
Meiyan Wang United States
Jicheng Lou China
Chang N. Kim United States
Alicia N. Vagnozzi United States
Laura Rodríguez France
Su Yeon Choi South Korea
Evelyn M. Wesseling Netherlands
Graciela Conceição Pignatari Brazil
Dinghua Xie China
Yufeng Lu China View profile →
Citations per field, relative to David H. Quach
David H. Quach · 1×
Citations per year, relative to David H. Quach
David H. Quach · 1×

Countries citing papers authored by David H. Quach

Since Specialization
Citations

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

Fields of papers citing papers by David H. Quach

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David H. Quach

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

All Works

14 of 14 papers shown
# Work Indexed citations
1 1
2 5
3 8
4 17
5 16
6 6
7 111
8 5
9 19
10 27
11 5
12 0
13 40
14 69

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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