Adam M. Smiles
- Nephrology top 0.2%
- Endocrinology, Diabetes and Metabolism top 1%
- Molecular Biology top 10%
- Genetics top 5%
- Surgery top 5%
- Co-authors
- Andrzej S. KrólewskiJames H. WarramJan SkupieńMonika A. NiewczasTomohito GohdaWilliam H. WalkerAlessandro DoriaJoseph V. Bonventre
- Topics
- Chronic Kidney Disease and Diabetes (18 papers)Genetic Associations and Epidemiology (6 papers)Renal Diseases and Glomerulopathies (6 papers)
- Journals
- Nature GeneticsPLoS ONEDiabetes Care
- Partner nations
- United StatesPolandJapan
In The Last Decade
Adam M. Smiles
33 papers receiving 3.2k citations
Hit Papers
Peers
Comparison fields: 5 of 101
- Nephrology 1.5k
- Endocrinology, Diabetes and Metabolism 840
- Molecular Biology 718
- Genetics 653
- Surgery 547
Countries citing papers authored by Adam M. Smiles
This map shows the geographic impact of Adam M. Smiles'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 Adam M. Smiles with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adam M. Smiles more than expected).
Fields of papers citing papers by Adam M. Smiles
This network shows the impact of papers produced by Adam M. Smiles. 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 Adam M. Smiles. The network helps show where Adam M. Smiles may publish in the future.
Co-authorship network of co-authors of Adam M. Smiles
This figure shows the co-authorship network connecting the top 25 collaborators of Adam M. Smiles. A scholar is included among the top collaborators of Adam M. Smiles based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Adam M. Smiles. Adam M. Smiles is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 75 | |
| 3 | 81 | |
| 4 | 38 | |
| 5 | 44 | |
| 6 | 36 | |
| 7 | 176 | |
| 8 | Blood Kidney Injury Molecule-1 Is a Biomarker of Acute and Chronic Kidney Injury and Predicts Progression to ESRD in Type I Diabetesbreakdown → | 327 |
| 9 | 34 | |
| 10 | 17 | |
| 11 | 54 | |
| 12 | 102 | |
| 13 | Circulating TNF Receptors 1 and 2 Predict ESRD in Type 2 Diabetesbreakdown → | 367 |
| 14 | 24 | |
| 15 | 144 | |
| 16 | 38 | |
| 17 | 380 | |
| 18 | 94 | |
| 19 | 72 | |
| 20 | 11 |
About Adam M. Smiles
Adam M. Smiles is a scholar working on Nephrology, Clinical Biochemistry and Endocrinology, Diabetes and Metabolism, having authored 33 papers that have together received 3.2k indexed citations. Recurring topics across this work include Chronic Kidney Disease and Diabetes (18 papers), Genetic Associations and Epidemiology (6 papers) and Renal Diseases and Glomerulopathies (6 papers). The work is most often cited by research in Nephrology (1.5k citations), Endocrinology, Diabetes and Metabolism (840 citations) and Clinical Biochemistry (270 citations). Adam M. Smiles has collaborated with scholars based in United States, Poland and Japan. Frequent co-authors include Andrzej S. Królewski, James H. Warram, Jan Skupień, Monika A. Niewczas, Tomohito Gohda, William H. Walker, Alessandro Doria, Joseph V. Bonventre, Tanya N. Mayadas and Florencia Rosetti. Their work appears in journals such as Nature Genetics, PLoS ONE and Diabetes Care.
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.