Gray D. Shaw
Impact in
- Immunology and Allergy top 0.2%
- Cell Adhesion Molecules Research
- Transplantation top 1%
Papers in
-
- Cell Adhesion Molecules Research 18
- Immunology 14
- Immune Response and Inflammation 6
- Co-authors
- Robert Kamen (3 shared papers)Raymond T. Camphausen (4 shared papers)Nicholas L. Tilney (10 shared papers)William S. Somers (2 shared papers)Jin Hai Tang (1 shared paper)Kari Christine Nadeau (5 shared papers)Dianne Sako (5 shared papers)Dale A. Cumming (2 shared papers)
- Journals
- Cell (5 papers)Transplantation (5 papers)American Journal of Transplantation (3 papers)Blood (3 papers)Annals of Surgery (2 papers)
- Partner nations
- United StatesHungaryGermany
In The Last Decade
Gray D. Shaw
51 papers receiving 7.9k citations
Gray D. Shaw's Hit Papers
Peers
Comparison fields: 5 of 127
- Immunology and Allergy 1.5k
- Transplantation 290
- Immunology 2.2k
- Hematology 678
- Molecular Biology 4.1k
Countries citing papers authored by Gray D. Shaw
This map shows the geographic impact of Gray D. Shaw'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 Gray D. Shaw with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gray D. Shaw more than expected).
Fields of papers citing papers by Gray D. Shaw
This network shows the impact of papers produced by Gray D. Shaw. 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 Gray D. Shaw. The network helps show where Gray D. Shaw may publish in the future.
Co-authors
The 25 scholars most cited alongside Gray D. Shaw, 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 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A conserved AU sequence from the 3′ untranslated region of GM-CSF mRNA mediates selective mRNA degradation Hit paper breakdown → | 1986 | 3809 |
| 2 | 2000 | 658 | |
| 3 | 1993 | 652 | |
| 4 | 1997 | 454 | |
| 5 | 1995 | 400 | |
| 6 | 1998 | 352 | |
| 7 | 1989 | 311 | |
| 8 | 1983 | 143 | |
| 9 | 1995 | 139 | |
| 10 | 1998 | 104 | |
| 11 | 1997 | 95 | |
| 12 | 2001 | 84 | |
| 13 | 1994 | 82 | |
| 14 | 2005 | 80 | |
| 15 | 1982 | 79 | |
| 16 | 2006 | 68 | |
| 17 | 2006 | 66 | |
| 18 | 2002 | 57 | |
| 19 | 2006 | 50 | |
| 20 | 1997 | 43 |
About Gray D. Shaw
Gray D. Shaw is a scholar working on Immunology and Allergy, Immunology, Hematology, Transplantation and Molecular Biology, having authored 51 papers that have together received 8.3k indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (18 papers), Organ Transplantation Techniques and Outcomes (7 papers), Protease and Inhibitor Mechanisms (6 papers), RNA Interference and Gene Delivery (6 papers), Immune Response and Inflammation (6 papers), Glycosylation and Glycoproteins Research (5 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and RNA Research and Splicing (5 papers). The work is most often cited by research in Immunology and Allergy (1.5k citations), Transplantation (290 citations), Immunology (2.2k citations), Hematology (678 citations) and Molecular Biology (4.1k citations). Gray D. Shaw has collaborated with scholars based in United States, Hungary and Germany. Frequent co-authors include Robert Kamen, Raymond T. Camphausen, Nicholas L. Tilney, William S. Somers, Jin Hai Tang, Kari Christine Nadeau, Dianne Sako, Dale A. Cumming, Karen M. Barone and M Takada. Their work appears in journals such as Cell, Transplantation, American Journal of Transplantation, Blood and Annals of Surgery.
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.