John Q. Su

5.4k citations
56 papers · 4.1k indexed · 2 hit papers · h-index 27

John Q. Su

55 papers receiving 3.9k citations

Hit Papers

Treatment of Allergic Asthma with Monoclonal Anti-IgE Ant...5201997202620062016100200300400500

Peers

John Q. Su
Comparison fields: 5 of 128
  • Immunology and Allergy 1.0k
  • Physiology 1.5k
  • Statistics and Probability 333
  • Pulmonary and Respiratory Medicine 1.0k
  • Immunology 540
Replace Tim Holland‐Letz with:
Tim Holland‐Letz Germany
Barbara A. Conley United States
Hegang Chen United States
Michael L. Cher United States
Ivelina Gueorguieva United States
Reiki Nishimura Japan
Mario Roselli Italy
Yasuo Toyozumi Japan
Cristina Magi‐Galluzzi United States
Arnoud J. Templeton Switzerland
John Q. Su relative to Tim Holland‐Letz Germany Tim Holland‐Letz's profile →
Citations per field
00.5×5.0×
Tim Holland‐Letz · 1×
Citations per year

Countries citing papers authored by John Q. Su

Since Specialization
Citations

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

Fields of papers citing papers by John Q. Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John Q. Su. 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 John Q. Su. The network helps show where John Q. Su may publish in the future.

Co-authorship network

The 25 scholars most cited alongside John Q. Su, 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 John Q. Su Line = papers co-authored together John Q. Su links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20237
2 20124
3 2011102
4 2010128
5 1999121
6 199835
7
The Effect of an Anti-IgE Monoclonal Antibody on the Early- and Late-Phase Responses to Allergen Inhalation in Asthmatic Subjectsbreakdown →
1997521
8 1997295
9 1997244
10 199525
11 19958
12 199495
13 199478
14 199415
15 199454
16 199410
17 199217
18 199223
19 199226
20 199191

About John Q. Su

John Q. Su is a scholar working on Immunology and Allergy, Statistics and Probability, Genetics, Cancer Research and Reproductive Medicine, having authored 56 papers that have together received 4.1k indexed citations. Recurring topics across this work include Lung Cancer Research Studies (8 papers), Lung Cancer Treatments and Mutations (7 papers), Allergic Rhinitis and Sensitization (6 papers), Chronic Lymphocytic Leukemia Research (5 papers), Lipoproteins and Cardiovascular Health (5 papers), Statistical Methods and Bayesian Inference (5 papers), Neuroendocrine Tumor Research Advances (5 papers) and Asthma and respiratory diseases (5 papers). The work is most often cited by research in Immunology and Allergy (1.0k citations), Physiology (1.5k citations), Statistics and Probability (333 citations), Pulmonary and Respiratory Medicine (1.0k citations) and Immunology (540 citations). John Q. Su has collaborated with scholars based in United States, Canada and Netherlands. Frequent co-authors include Robert B. Fick, James D. Reimann, Jun S. Liu, Brenda F. Baker, L. J. Wei, Hofer Wong, Marc Watrous, Robert K. Bush, W. James Metzger and Henry Milgrom. Their work appears in journals such as Cancer, International Journal of Radiation Oncology*Biology*Physics, Journal of the American Statistical Association, Journal of Clinical Oncology and Statistics in Medicine.

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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