R.W. Gracy

61 papers receiving 1.7k citations

Peers

R.W. Gracy
Comparison fields: 5 of 125
  • Physiology 582
  • Biochemistry 120
  • Clinical Biochemistry 111
  • Cell Biology 261
  • Molecular Biology 983
Replace Wieland Gevers with:
Wieland Gevers South Africa
ROGER A. CLEGG United Kingdom
Hideji Fujiwara United States
Milton M. Weiser United States
David B. Rhoads United States
Alain Legrand France
Gerhard Pfleiderer Germany
Hiromasa Tojo Japan
John A. Badwey United States
C. Villar‐Palasi United States
R.W. Gracy relative to Wieland Gevers South Africa Wieland Gevers's profile →
Citations per field
00.5×1.5×1.9×
Wieland Gevers · 1×
Citations per year

Countries citing papers authored by R.W. Gracy

Since Specialization
Citations

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

Fields of papers citing papers by R.W. Gracy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R.W. Gracy. 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 R.W. Gracy. The network helps show where R.W. Gracy may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999151
2 1988148
3
Increased carbonyl content of proteins in synovial fluid from patients with rheumatoid arthritis.
1989113
4 198183
5 196880
6 197078
7 196877
8 197175
9 196872
10 196970
11 197456
12 198453
13 197749
14 197646
15 197243
16 197742
17 197035
18 197333
19 197230
20 199527

About R.W. Gracy

R.W. Gracy is a scholar working on Physiology, Molecular Biology, Surgery, Endocrinology, Diabetes and Metabolism and Cell Biology, having authored 61 papers that have together received 1.8k indexed citations. Recurring topics across this work include Erythrocyte Function and Pathophysiology (26 papers), Pancreatic function and diabetes (24 papers), Diet, Metabolism, and Disease (10 papers), Enzyme Structure and Function (9 papers), Protein Structure and Dynamics (6 papers), Metabolism, Diabetes, and Cancer (6 papers), Neonatal Health and Biochemistry (4 papers) and Cancer, Hypoxia, and Metabolism (4 papers). The work is most often cited by research in Physiology (582 citations), Biochemistry (120 citations), Clinical Biochemistry (111 citations), Cell Biology (261 citations) and Molecular Biology (983 citations). R.W. Gracy has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Ernst A. Noltmann, John M. Talent, Pau M. Yuan, K. Ümit Yüksel, B.L. Horecker, Andras G. Lacko, Mingyu Chapman, Craig C. Conrad, Yongli Kong and J. Thomas August. Their work appears in journals such as Journal of Biological Chemistry, Archives of Biochemistry and Biophysics, Biochemical and Biophysical Research Communications, Analytical Biochemistry and Mechanisms of Ageing and Development.

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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