J L Wang
Impact in
- Immunology top 2%
- Galectins and Cancer Biology
- Toxin Mechanisms and Immunotoxins
- Macrophage Migration Inhibitory Factor
- Molecular Biology top 10%
- Signaling Pathways in Disease
- Glycosylation and Glycoproteins Research
- Protein Tyrosine Phosphatases
Papers in
-
- Glycosylation and Glycoproteins Research 6
- Retinoids in leukemia and cellular processes 2
-
- Galectins and Cancer Biology 3
- Co-authors
- Suzanne F. Dagher (1 shared paper)Ronald J. Patterson (1 shared paper)Neera Agrwal (3 shared papers)Ioannis K. Moutsatsos (2 shared papers)Michael Schindler (1 shared paper)Mark Wade (1 shared paper)Patricia G. Voss (2 shared papers)Yen‐Ming Hsu (2 shared papers)
- Journals
- Journal of Biological Chemistry (4 papers)Proceedings of the National Academy of Sciences (3 papers)The Journal of Cell Biology (2 papers)Biochemical and Biophysical Research Communications (1 paper)Gene (1 paper)
- Partner nations
- United StatesGermanyFrance
In The Last Decade
J L Wang
14 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 71
- Immunology 897
- Molecular Biology 796
- Oncology 132
- Immunology and Allergy 26
- Cell Biology 56
Countries citing papers authored by J L Wang
This map shows the geographic impact of J L Wang'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 J L Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J L Wang more than expected).
Fields of papers citing papers by J L Wang
This network shows the impact of papers produced by J L Wang. 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 J L Wang. The network helps show where J L Wang may publish in the future.
Co-authors
The 18 scholars most cited alongside J L Wang, 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 | 1995 | 345 | |
| 2 | 1987 | 211 | |
| 3 | 1988 | 148 | |
| 4 | 1989 | 107 | |
| 5 | 1998 | 96 | |
| 6 | 1990 | 70 | |
| 7 | 1986 | 61 | |
| 8 | 1995 | 51 | |
| 9 | 1987 | 36 | |
| 10 | 1990 | 27 | |
| 11 | 1984 | 17 | |
| 12 | 1987 | 17 | |
| 13 | 1988 | 10 | |
| 14 | 1989 | 5 |
About J L Wang
J L Wang is a scholar working on Molecular Biology, Immunology, Plant Science, Cellular and Molecular Neuroscience and Oncology, having authored 14 papers that have together received 1.2k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (6 papers), Galectins and Cancer Biology (3 papers), Legume Nitrogen Fixing Symbiosis (3 papers), Enzyme Structure and Function (2 papers), Plant nutrient uptake and metabolism (2 papers), Retinoids in leukemia and cellular processes (2 papers), Cancer Cells and Metastasis (2 papers) and Cancer, Hypoxia, and Metabolism (2 papers). The work is most often cited by research in Immunology (897 citations), Molecular Biology (796 citations), Oncology (132 citations), Immunology and Allergy (26 citations) and Cell Biology (56 citations). J L Wang has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Suzanne F. Dagher, Ronald J. Patterson, Neera Agrwal, Ioannis K. Moutsatsos, Michael Schindler, Mark Wade, Patricia G. Voss, Yen‐Ming Hsu, Mark M. Kadrofske and Elizabeth Cowles. Their work appears in journals such as Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, The Journal of Cell Biology, Biochemical and Biophysical Research Communications and Gene.
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.