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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- Signaling Pathways in Disease 1
- Fibroblast Growth Factor Research 1
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- T-cell and B-cell Immunology 2
- Immune Cell Function and Interaction 2
- Invertebrate Immune Response Mechanisms 1
- Co-authors
- R. Blake Pepinsky (3 shared papers)Sha Mi (3 shared papers)Zhaohui Shao (3 shared papers)Melissa Levesque (3 shared papers)Xinhua Lee (3 shared papers)John McCoy (3 shared papers)Norm Allaire (3 shared papers)Martin Scott (3 shared papers)
- Journals
- Nature Neuroscience (2 papers)The Journal of Immunology (1 paper)Neuron (1 paper)Journal of Immunological Methods (1 paper)Genomics (1 paper)
- Partner nations
- United StatesFrance
In The Last Decade
Greg Thill
7 papers receiving 1.7k citations
Greg Thill's Hit Papers
Peers
Comparison fields: 5 of 84
- Developmental Neuroscience 801
- Cellular and Molecular Neuroscience 896
- Neurology 222
- Pathology and Forensic Medicine 294
- Immunology 247
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 | LINGO-1 is a component of the Nogo-66 receptor/p75 signaling complex Hit paper breakdown → | 2004 | 660 |
| 2 | 2005 | 494 | |
| 3 | 2005 | 311 | |
| 4 | 2004 | 135 | |
| 5 | 2003 | 116 | |
| 6 | 2004 | 28 | |
| 7 | 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 Molecular Biology, Immunology, Cellular and Molecular Neuroscience, Developmental Neuroscience and Radiology, Nuclear Medicine and Imaging, having authored 7 papers that have together received 1.7k indexed citations. Recurring topics across this work include Nerve injury and regeneration (2 papers), T-cell and B-cell Immunology (2 papers), Axon Guidance and Neuronal Signaling (2 papers), Immune Cell Function and Interaction (2 papers), Neurogenesis and neuroplasticity mechanisms (2 papers), Invertebrate Immune Response Mechanisms (1 paper), Signaling Pathways in Disease (1 paper) and Fibroblast Growth Factor Research (1 paper). The work is most often cited by research in Developmental Neuroscience (801 citations), Cellular and Molecular Neuroscience (896 citations), Neurology (222 citations), Pathology and Forensic Medicine (294 citations) and Immunology (247 citations). Greg Thill has collaborated with scholars based in United States and France. Frequent co-authors include R. Blake Pepinsky, Sha Mi, Zhaohui Shao, Melissa Levesque, Xinhua Lee, John McCoy, Norm Allaire, Martin Scott, Dinah W.Y. Sah and Vincent Jung. Their work appears in journals such as Nature Neuroscience, The Journal of Immunology, Neuron, Journal of Immunological Methods and Genomics.
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.