Greg Thill
Impact in
- Developmental Neuroscience top 0.5%
- Neurogenesis and neuroplasticity mechanisms
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- Nerve injury and regeneration
- Axon Guidance and Neuronal Signaling
Papers in
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- Neurogenesis and neuroplasticity mechanisms 2
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- T-cell and B-cell Immunology 2
- Immune Cell Function and Interaction 2
- Invertebrate Immune Response Mechanisms 1
- Co-authors
- John M. McCoy (3 shared papers)Sha Mi (3 shared papers)Zhaohui Shao (3 shared papers)Melissa Levesque (3 shared papers)Xinhua Lee (3 shared papers)R. Blake Pepinsky (3 shared papers)Norm Allaire (3 shared papers)Martin Scott (3 shared papers)
- Journals
- Nature Neuroscience (2 papers)Journal of Immunological Methods (1 paper)Genomics (1 paper)Neuron (1 paper)The Journal of Immunology (1 paper)
- Partner nations
- United StatesFrance
In The Last Decade
Greg Thill
8 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 82
- Developmental Neuroscience 835
- Cellular and Molecular Neuroscience 916
- Neurology 221
- Pathology and Forensic Medicine 286
- Immunology 230
Countries citing papers authored by Greg Thill
This map shows the geographic impact of Greg Thill'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 Greg Thill with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Greg Thill more than expected).
Fields of papers citing papers by Greg Thill
This network shows the impact of papers produced by Greg Thill. 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 Greg Thill. The network helps show where Greg Thill may publish in the future.
Co-authors
The 25 scholars most cited alongside Greg Thill, 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 | 2004 | 706 | |
| 2 | 2005 | 529 | |
| 3 | 2005 | 336 | |
| 4 | 2004 | 142 | |
| 5 | 2003 | 135 | |
| 6 | 2004 | 30 | |
| 7 | 2012 | 8 | |
| 8 | Blocking of BAFF signaling pathway by BCMA-Fc attenuates autoimmune manifestations in BAFF transgenic mice and reveals its important role in maintaining peripheral B cell homeostasis. | 2000 | 1 |
About Greg Thill
Greg Thill is a scholar working on Developmental Neuroscience, Immunology, Cellular and Molecular Neuroscience, Microbiology and Genetics, having authored 8 papers that have together received 1.9k indexed citations. Recurring topics across this work include Virus-based gene therapy research (2 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers), T-cell and B-cell Immunology (2 papers), Nerve injury and regeneration (2 papers), Axon Guidance and Neuronal Signaling (2 papers), Neurogenesis and neuroplasticity mechanisms (2 papers), Immune Cell Function and Interaction (2 papers) and Invertebrate Immune Response Mechanisms (1 paper). The work is most often cited by research in Developmental Neuroscience (835 citations), Cellular and Molecular Neuroscience (916 citations), Neurology (221 citations), Pathology and Forensic Medicine (286 citations) and Immunology (230 citations). Greg Thill has collaborated with scholars based in United States and France. Frequent co-authors include John M. McCoy, Sha Mi, Zhaohui Shao, Melissa Levesque, Xinhua Lee, R. Blake Pepinsky, Norm Allaire, Martin Scott, Vincent A. Jung and Dinah W.Y. Sah. Their work appears in journals such as Nature Neuroscience, Journal of Immunological Methods, Genomics, Neuron and The Journal of Immunology.
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.