J. Ng
Impact in
- Immunology top 5%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
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- Neurobiology and Insect Physiology Research
- Axon Guidance and Neuronal Signaling
Papers in
- Immunology 51
- T-cell and B-cell Immunology 47
- Immune Cell Function and Interaction 41
- Immunotherapy and Immune Responses 23
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- Developmental Biology and Gene Regulation 5
- Co-authors
- Liqun Luo (3 shared papers)Doreen A. Cantrell (2 shared papers)Georg Dietzl (2 shared papers)Yan Sun (2 shared papers)Julia Tzu (2 shared papers)Barry J. Dickson (2 shared papers)Matthew Harms (2 shared papers)Carolyn Katovich Hurley (42 shared papers)
- Journals
- Development (3 papers)Protein Science (2 papers)Nature (2 papers)Developmental Biology (1 paper)HLA (1 paper)
- Partner nations
- United StatesUnited KingdomSpain
In The Last Decade
J. Ng
71 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 98
- Immunology 747
- Cellular and Molecular Neuroscience 549
- Cell Biology 476
- Transplantation 61
- Aging 43
Countries citing papers authored by J. Ng
This map shows the geographic impact of J. Ng'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. Ng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Ng more than expected).
Fields of papers citing papers by J. Ng
This network shows the impact of papers produced by J. Ng. 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. Ng. The network helps show where J. Ng may publish in the future.
Co-authors
The 25 scholars most cited alongside J. Ng, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 303 | |
| 2 | 2002 | 292 | |
| 3 | 2004 | 164 | |
| 4 | 1996 | 158 | |
| 5 | 1997 | 136 | |
| 6 | 2003 | 86 | |
| 7 | 1996 | 73 | |
| 8 | 2008 | 65 | |
| 9 | 2014 | 56 | |
| 10 | 2000 | 47 | |
| 11 | 2006 | 43 | |
| 12 | 2011 | 39 | |
| 13 | 2008 | 38 | |
| 14 | 1996 | 37 | |
| 15 | 2009 | 34 | |
| 16 | 2016 | 28 | |
| 17 | 2011 | 24 | |
| 18 | 2009 | 24 | |
| 19 | 2017 | 23 | |
| 20 | Rumen involvement in sheep tannic acid metabolism. | 1995 | 22 |
About J. Ng
J. Ng is a scholar working on Immunology, Molecular Biology, Hematology, Cellular and Molecular Neuroscience and Cell Biology, having authored 72 papers that have together received 2.1k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (47 papers), Immune Cell Function and Interaction (41 papers), Immunotherapy and Immune Responses (23 papers), Hematopoietic Stem Cell Transplantation (8 papers), Neurobiology and Insect Physiology Research (6 papers), Developmental Biology and Gene Regulation (5 papers), Axon Guidance and Neuronal Signaling (5 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). The work is most often cited by research in Immunology (747 citations), Cellular and Molecular Neuroscience (549 citations), Cell Biology (476 citations), Transplantation (61 citations) and Aging (43 citations). J. Ng has collaborated with scholars based in United States, United Kingdom and Spain. Frequent co-authors include Liqun Luo, Doreen A. Cantrell, Georg Dietzl, Yan Sun, Julia Tzu, Barry J. Dickson, Matthew Harms, Carolyn Katovich Hurley, Carol Beadling and Satoko Hakeda‐Suzuki. Their work appears in journals such as Development, Protein Science, Nature, Developmental Biology and HLA.
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.