John H. Tu

544 citations
7 papers · 215 · h-index 5

Impact in

  • Biophysics top 5%
    • Spectroscopy Techniques in Biomedical and Chemical Research
    • Advanced Fluorescence Microscopy Techniques
  • Dermatology top 10%
    • Skin Protection and Aging
    • Cutaneous lymphoproliferative disorders research

Papers in

John H. Tu

7 papers receiving 203 citations

Peers

John H. Tu
Comparison fields: 5 of 61
  • Biophysics 62
  • Dermatology 68
  • Microbiology 5
  • Epidemiology 67
  • Radiology, Nuclear Medicine and Imaging 43
Replace Joseph A. Muccini with:
Joseph A. Muccini United States
Anthony G. Bohorfoush United States
Margot Fontaine Belgium
Jolanda van den Boogert Netherlands
James Kim United States
Stephanie Fraser United States
Jasmine Lim Malaysia
Hsing-Wen Wang United States
Patricia Campbell United States
Bernard C. Szirth United States
John H. Tu relative to Joseph A. Muccini United States Joseph A. Muccini's profile →
Citations per field
00.5×4.5×
Joseph A. Muccini · 1×
Citations per year

Countries citing papers authored by John H. Tu

Since Specialization
Citations

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

Fields of papers citing papers by John H. Tu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

7 of 7 papers shown
#Work
1 2001144
2 201529
3 199326
4
A HUMAN URINE-DERIVED INTERLEUKIN 1 INHIBITOR
19885
5
Primary cutaneous Nocardia brasiliensis infection isolated in an immunosuppressed patient: a case report.
20125
6 20244
7 20082

About John H. Tu

John H. Tu is a scholar working on Epidemiology, Dermatology, Pulmonary and Respiratory Medicine, Small Animals and Neurology, having authored 7 papers that have together received 215 indexed citations. Recurring topics across this work include Nonmelanoma Skin Cancer Studies (3 papers), Neuroblastoma Research and Treatments (1 paper), Actinomycetales infections and treatment (1 paper), Calcium signaling and nucleotide metabolism (1 paper), Neurofibromatosis and Schwannoma Cases (1 paper), Acute Lymphoblastic Leukemia research (1 paper), Photodynamic Therapy Research Studies (1 paper) and Skin Protection and Aging (1 paper). The work is most often cited by research in Biophysics (62 citations), Dermatology (68 citations), Microbiology (5 citations), Epidemiology (67 citations) and Radiology, Nuclear Medicine and Imaging (43 citations). John H. Tu has collaborated with scholars based in United States, Denmark and Germany. Frequent co-authors include Nikiforos Kollias, Gregg M. Menaker, Anthony J. Durkin, Lorenzo Brancaleon, Catherine B. Small, Matthias Augustin, Kim Knudsen, Thomas Larsson, David L. Rosenstreich and C. William Hanke. Their work appears in journals such as Science Advances, Gerontology, Journal of the American Academy of Dermatology, Photochemistry and Photobiology and New England Journal of 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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