Jun-Hsiang Lin
Impact in
- Sensory Systems top 2%
- Ion Channels and Receptors
- Immunology top 10%
- Immune Response and Inflammation
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms
- interferon and immune responses
Papers in
-
- Natural product bioactivities and synthesis 1
-
- Toxin Mechanisms and Immunotoxins 1
- Co-authors
- Philip N. Tsichlis (5 shared papers)Nicholas Grammatikakis (1 shared paper)Brent Cochran (1 shared paper)Srinivasa M. Srinivasula (2 shared papers)Teresa Fernandes‐Alnemri (2 shared papers)Jean‐Luc Poyet (2 shared papers)Bernard Babior (1 shared paper)Carolyn R. Hoyal (1 shared paper)
- Journals
- Journal of Biological Chemistry (4 papers)Molecular Cancer Therapeutics (1 paper)Journal of Pharmacology and Experimental Therapeutics (1 paper)SLAS DISCOVERY (1 paper)Veterinary Immunology and Immunopathology (1 paper)
- Partner nations
- United StatesGermanyBulgaria
In The Last Decade
Jun-Hsiang Lin
11 papers receiving 893 citations
Peers
Comparison fields: 5 of 87
- Sensory Systems 147
- Immunology 294
- Cancer Research 193
- Molecular Biology 500
- Pharmacology 61
Countries citing papers authored by Jun-Hsiang Lin
This map shows the geographic impact of Jun-Hsiang Lin'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 Jun-Hsiang Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun-Hsiang Lin more than expected).
Fields of papers citing papers by Jun-Hsiang Lin
This network shows the impact of papers produced by Jun-Hsiang Lin. 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 Jun-Hsiang Lin. The network helps show where Jun-Hsiang Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun-Hsiang Lin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 225 | |
| 2 | 2003 | 170 | |
| 3 | 2003 | 153 | |
| 4 | 2000 | 148 | |
| 5 | 1999 | 98 | |
| 6 | 2004 | 46 | |
| 7 | 2004 | 37 | |
| 8 | 2021 | 19 | |
| 9 | 1993 | 13 | |
| 10 | 2002 | 4 | |
| 11 | 2008 | 2 | |
| 12 | 2020 | 1 |
About Jun-Hsiang Lin
Jun-Hsiang Lin is a scholar working on Molecular Biology, Immunology, Pharmacology, Cell Biology and Cancer Research, having authored 12 papers that have together received 916 indexed citations. Recurring topics across this work include NF-κB Signaling Pathways (2 papers), Urticaria and Related Conditions (1 paper), Allergic Rhinitis and Sensitization (1 paper), Computational Drug Discovery Methods (1 paper), Dermatology and Skin Diseases (1 paper), Natural product bioactivities and synthesis (1 paper), Endoplasmic Reticulum Stress and Disease (1 paper) and Toxin Mechanisms and Immunotoxins (1 paper). The work is most often cited by research in Sensory Systems (147 citations), Immunology (294 citations), Cancer Research (193 citations), Molecular Biology (500 citations) and Pharmacology (61 citations). Jun-Hsiang Lin has collaborated with scholars based in United States, Germany and Bulgaria. Frequent co-authors include Philip N. Tsichlis, Nicholas Grammatikakis, Brent Cochran, Srinivasa M. Srinivasula, Teresa Fernandes‐Alnemri, Jean‐Luc Poyet, Bernard Babior, Carolyn R. Hoyal, Brandon Young and Sergio Catz. Their work appears in journals such as Journal of Biological Chemistry, Molecular Cancer Therapeutics, Journal of Pharmacology and Experimental Therapeutics, SLAS DISCOVERY and Veterinary Immunology and Immunopathology.
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.