David Tung

627 citations
22 papers · 507 · h-index 13

Impact in

Papers in

    • Immune Response and Inflammation 4
    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms 2
    • Cell Adhesion Molecules Research 4

David Tung

22 papers receiving 493 citations

Peers

David Tung
Comparison fields: 5 of 96
  • Immunology and Allergy 46
  • Rheumatology 86
  • Pharmaceutical Science 35
  • Immunology 102
  • Physiology 67
Replace Qingxuan Wang with:
Qingxuan Wang China
Holger Schrumpf Germany
Shoichiro Yano Japan
Ch.C. Zouboulis Germany
Karin Vicente Greco United Kingdom
Andrea Tandara Germany
Joanna Czuwara Poland
Rafaela Vaz Sousa Pereira Brazil
Ken Shiraishi Japan
Joo‐Heung Lee South Korea
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Citations per field
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Qingxuan Wang · 1×
Citations per year

Countries citing papers authored by David Tung

Since Specialization
Citations

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

Fields of papers citing papers by David Tung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside David Tung, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with David Tung Line = papers co-authored together David Tung links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200681
2 201276
3 199846
4 200943
5 199637
6 200733
7 201126
8
Euthanasia method for mice in rapid time-course pulmonary pharmacokinetic studies.
200923
9
Streptococcal cell wall-induced arthritis: requirements for IL-4, IL-10, IFN-gamma, and monocyte chemoattractant protein-1.
199822
10 199818
11 202317
12 201117
13 199712
14 201212
15 198911
16 201010
17 20119
18 20145
19 20124
20 20132

About David Tung

David Tung is a scholar working on Immunology, Immunology and Allergy, Pulmonary and Respiratory Medicine, Oncology and Rheumatology, having authored 22 papers that have together received 507 indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (4 papers), Immune Response and Inflammation (4 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers), Angiogenesis and VEGF in Cancer (2 papers), Rheumatoid Arthritis Research and Therapies (2 papers), Asthma and respiratory diseases (2 papers), Streptococcal Infections and Treatments (1 paper) and Osteoarthritis Treatment and Mechanisms (1 paper). The work is most often cited by research in Immunology and Allergy (46 citations), Rheumatology (86 citations), Pharmaceutical Science (35 citations), Immunology (102 citations) and Physiology (67 citations). David Tung has collaborated with scholars based in United States, Switzerland and China. Frequent co-authors include Saurabh Saha, Britton Boras, Denis J. Schrier, Micky D. Tortorella, Anne‐Marie Malfait, Michael M. Morgen, Craig M. Flory, Peter A. Ward, Ralph C. Schimmer and Mausumee Guha. Their work appears in journals such as Pharmacology, Journal of Leukocyte Biology, Canadian Journal of Emergency Medicine, Pediatric Nephrology and Nanoscale Research Letters.

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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