Christopher M. Starr

567 citations
15 papers · 477 · h-index 9

Impact in

    • Proteoglycans and glycosaminoglycans research
    • Cellular transport and secretion
    • Lysosomal Storage Disorders Research

Papers in

Christopher M. Starr

15 papers receiving 454 citations

Peers

Christopher M. Starr
Comparison fields: 5 of 81
  • Cell Biology 92
  • Physiology 114
  • Molecular Biology 304
  • Organic Chemistry 112
  • Spectroscopy 38
Replace Seiichiro Takahashi with:
Seiichiro Takahashi Japan
Jan P. Vos Netherlands
Maria Grazia Ciampa Italy
John D. David United States
Jasja Wolthoorn Netherlands
Angela Flagiello Italy
Izabella Niewczas United Kingdom
Seda Ballikaya Germany
Nagindra Prashad United States
Jonathan Nardozzi United States
Christopher M. Starr relative to Seiichiro Takahashi Japan Seiichiro Takahashi's profile →
Citations per field
00.5×2×3×3.8×
Seiichiro Takahashi · 1×
Citations per year

Countries citing papers authored by Christopher M. Starr

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Christopher M. Starr Line = papers co-authored together Christopher M. Starr links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 1996176
2 1996135
3 199429
4 199529
5 198523
6 198922
7 199022
8 199810
9 19949
10 20036
11 20006
12 19924
13 19953
14 19992
15 20031

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 15 papers that have together received 477 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (8 papers), Carbohydrate Chemistry and Synthesis (5 papers), Lysosomal Storage Disorders Research (4 papers), Trypanosoma species research and implications (2 papers), Proteoglycans and glycosaminoglycans research (2 papers), Microfluidic and Capillary Electrophoresis Applications (2 papers), RNA and protein synthesis mechanisms (1 paper) and Advanced Proteomics Techniques and Applications (1 paper). The work is most often cited by research in Cell Biology (92 citations), Physiology (114 citations), Molecular Biology (304 citations), Organic Chemistry (112 citations) and Spectroscopy (38 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, Kinuko Suzuki, Richard L. Proia, Michael P. McDonald, Kazunori Sango, Konrad Sandhoff and Cynthia J. Tifft. Their work appears in journals such as Electrophoresis, Advances in experimental medicine and biology, BioEssays, Nature Genetics and Journal of Chromatography A.

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.

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