Robert A. Radnik

1.2k citations
12 papers · 1.0k · h-index 11

Impact in

  • Nephrology top 2%
    • Chronic Kidney Disease and Diabetes
    • Renal Diseases and Glomerulopathies
    • Advanced Glycation End Products research

Papers in

Robert A. Radnik

12 papers receiving 1.0k citations

Peers

Robert A. Radnik
Comparison fields: 5 of 79
  • Nephrology 371
  • Clinical Biochemistry 235
  • Immunology and Allergy 136
  • Endocrinology, Diabetes and Metabolism 152
  • Cancer Research 116
Replace Suzanne H. Ayo with:
Suzanne H. Ayo United States
Masaki Togawa Japan
Leighton R. James United States
Snezana Munk Canada
M Maiello Italy
Shenaz Khan United States
Jeong Suk Kang South Korea
D Boeri Italy
Chet E. Holterman Canada
Robert A. Radnik relative to Suzanne H. Ayo United States Suzanne H. Ayo's profile →
Citations per field
00.5×1.7×
Suzanne H. Ayo · 1×
Citations per year

Countries citing papers authored by Robert A. Radnik

Since Specialization
Citations

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

Fields of papers citing papers by Robert A. Radnik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert A. Radnik. 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 Robert A. Radnik. The network helps show where Robert A. Radnik may publish in the future.

Co-authors

The 14 scholars most cited alongside Robert A. Radnik, 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 Robert A. Radnik Line = papers co-authored together Robert A. Radnik links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 1991216
2 1991209
3
High glucose causes an increase in extracellular matrix proteins in cultured mesangial cells.
1990203
4 199490
5 198485
6 199757
7 199448
8 199640
9 198537
10 198830
11 199726
12 19881

About Robert A. Radnik

Robert A. Radnik is a scholar working on Molecular Biology, Immunology and Allergy, Cancer Research, Surgery and Nephrology, having authored 12 papers that have together received 1.0k indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (6 papers), Protease and Inhibitor Mechanisms (4 papers), Chronic Kidney Disease and Diabetes (2 papers), Connective tissue disorders research (2 papers), TGF-β signaling in diseases (2 papers), Tissue Engineering and Regenerative Medicine (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers) and Renal Diseases and Glomerulopathies (1 paper). The work is most often cited by research in Nephrology (371 citations), Clinical Biochemistry (235 citations), Immunology and Allergy (136 citations), Endocrinology, Diabetes and Metabolism (152 citations) and Cancer Research (116 citations). Robert A. Radnik has collaborated with scholars based in United States. Frequent co-authors include Jeffrey I. Kreisberg, Suzanne H. Ayo, William F. Glass, Dean A. Troyer, Dean R. Appling, Manjeri A. Venkatachalam, Jeffrey L. Barnes, Nandini Ghosh‐Choudhury, Pravina Patel and M. A. Venkatachalam. Their work appears in journals such as Kidney International, American Journal of Physiology-Renal Physiology, Journal of Clinical Investigation, Biochimica et Biophysica Acta (BBA) - Molecular Cell Research and PubMed.

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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