Christopher Phelps

1.7k citations
60 papers · 1.3k · h-index 22

Impact in

Papers in

    • Glycosylation and Glycoproteins Research 13
    • Fibroblast Growth Factor Research 4
    • Proteoglycans and glycosaminoglycans research 16

Christopher Phelps

54 papers receiving 1.2k citations

Peers

Christopher Phelps
Comparison fields: 5 of 144
  • Cell Biology 529
  • Immunology and Allergy 55
  • Molecular Biology 662
  • Molecular Medicine 45
  • Organic Chemistry 203
Replace William F. Long with:
William F. Long United Kingdom
Robert C. Woodworth United States
Masahiko Endo Japan
Brian Halligan United States
Eunice E. Kim United States
Fergal Davis United States
François Hyafil France
Francis P. Gasparro United States
Jong‐Seo Kim South Korea
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Christopher Phelps relative to William F. Long United Kingdom William F. Long's profile →
Citations per field
00.5×4.1×
William F. Long · 1×
Citations per year

Countries citing papers authored by Christopher Phelps

Since Specialization
Citations

This map shows the geographic impact of Christopher Phelps'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 Phelps with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christopher Phelps more than expected).

Fields of papers citing papers by Christopher Phelps

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher Phelps. 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 Phelps. The network helps show where Christopher Phelps may publish in the future.

Co-authors

The 25 scholars most cited alongside Christopher Phelps, 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 Phelps Line = papers co-authored together Christopher Phelps links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1972172
2 1977139
3 1972105
4 198152
5 198150
6 197450
7 198046
8 197140
9 196638
10 197138
11 196836
12 197235
13 197234
14 197234
15 201731
16 197831
17 197130
18 197928
19 197827
20 198624

About Christopher Phelps

Christopher Phelps is a scholar working on Molecular Biology, Cell Biology, Sociology and Political Science, Economics and Econometrics and Finance, having authored 60 papers that have together received 1.3k indexed citations. Recurring topics across this work include Proteoglycans and glycosaminoglycans research (16 papers), Glycosylation and Glycoproteins Research (13 papers), Housing, Finance, and Neoliberalism (9 papers), Housing Market and Economics (9 papers), Financial Literacy, Pension, Retirement Analysis (6 papers), Carbohydrate Chemistry and Synthesis (6 papers), Fibroblast Growth Factor Research (4 papers) and Race, History, and American Society (4 papers). The work is most often cited by research in Cell Biology (529 citations), Immunology and Allergy (55 citations), Molecular Biology (662 citations), Molecular Medicine (45 citations) and Organic Chemistry (203 citations). Christopher Phelps has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include P. J. Winterburn, John K. Sheehan, Ian A. Nieduszynski, E. D. T. Atkins, Tim Hardingham, Christopher J. Handley, L Å Fransson, L Cöster, Robert Law and Rachel Ong. Their work appears in journals such as Biochemical Journal, Monthly Review, Vox Sanguinis, Nature and Population Space and Place.

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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