Christopher M. Starr
Impact in
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- Cellular transport and secretion
- Proteoglycans and glycosaminoglycans research
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- Lysosomal Storage Disorders Research
Papers in
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- Glycosylation and Glycoproteins Research 6
- Signaling Pathways in Disease 1
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- Carbohydrate Chemistry and Synthesis 5
- Co-authors
- John Klock (5 shared papers)R. Irene Masada (3 shared papers)Chuck Hague (2 shared papers)András Guttman (2 shared papers)Richard L. Proia (1 shared paper)Konrad Sandhoff (1 shared paper)Kinuko Suzuki (1 shared paper)Michelle Mack (1 shared paper)
- Journals
- Electrophoresis (3 papers)Nature Genetics (1 paper)Advances in experimental medicine and biology (1 paper)BioEssays (1 paper)Archives of Biochemistry and Biophysics (1 paper)
- Partner nations
- United StatesGermany
In The Last Decade
Christopher M. Starr
13 papers receiving 409 citations
Peers
Comparison fields: 5 of 80
- Cell Biology 86
- Physiology 112
- Molecular Biology 268
- Organic Chemistry 97
- Biotechnology 19
Countries citing papers authored by Christopher M. Starr
This map shows the geographic impact of Christopher M. Starr'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 Christopher M. Starr with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher M. Starr more than expected).
Fields of papers citing papers by Christopher M. Starr
This network shows the impact of papers produced by Christopher M. Starr. 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 Christopher M. Starr. The network helps show where Christopher M. Starr may publish in the future.
Co-authors
The 25 scholars most cited alongside Christopher M. Starr, 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 | 1996 | 168 | |
| 2 | 1996 | 122 | |
| 3 | 1994 | 24 | |
| 4 | 1985 | 23 | |
| 5 | 1990 | 21 | |
| 6 | 1989 | 20 | |
| 7 | 1995 | 19 | |
| 8 | 1998 | 8 | |
| 9 | 1994 | 7 | |
| 10 | 2000 | 5 | |
| 11 | 2003 | 4 | |
| 12 | 1995 | 3 | |
| 13 | 1999 | 2 |
About Christopher M. Starr
Christopher M. Starr is a scholar working on Molecular Biology, Organic Chemistry, Physiology, Cell Biology and Cardiology and Cardiovascular Medicine, having authored 13 papers that have together received 426 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (6 papers), Carbohydrate Chemistry and Synthesis (5 papers), Lysosomal Storage Disorders Research (4 papers), Proteoglycans and glycosaminoglycans research (2 papers), Microfluidic and Capillary Electrophoresis Applications (2 papers), Trypanosoma species research and implications (2 papers), Diet, Metabolism, and Disease (1 paper) and Signaling Pathways in Disease (1 paper). The work is most often cited by research in Cell Biology (86 citations), Physiology (112 citations), Molecular Biology (268 citations), Organic Chemistry (97 citations) and Biotechnology (19 citations). Christopher M. Starr has collaborated with scholars based in United States and Germany. Frequent co-authors include John Klock, R. Irene Masada, Chuck Hague, András Guttman, Richard L. Proia, Konrad Sandhoff, Kinuko Suzuki, Michelle Mack, Kazunori Sango and Michael P. McDonald. Their work appears in journals such as Electrophoresis, Nature Genetics, Advances in experimental medicine and biology, BioEssays and Archives of Biochemistry and Biophysics.
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.