David Martins
Impact in
-
- Vitamin D Research Studies
- Nephrology top 2%
- Dialysis and Renal Disease Management
Papers in
- Nephrology 10
- Chronic Kidney Disease and Diabetes 8
- Dialysis and Renal Disease Management 7
- Co-authors
- Keith C. NorrisNaureen TareenDeyu PanAshraf ZadshirMyles WolfRajnish MehrotraRavi ThadhaniBarton S. Levine
- Journals
- BMC Bioinformatics (4 papers)Scientific Reports (3 papers)Kidney International (3 papers)Information Sciences (2 papers)European Heart Journal (2 papers)
- Partner nations
- United StatesBrazilPoland
In The Last Decade
David Martins
78 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 152
- Pathology and Forensic Medicine 1.0k
- Nephrology 325
- Orthopedics and Sports Medicine 305
- Nutrition and Dietetics 480
- Family Practice 64
Countries citing papers authored by David Martins
This map shows the geographic impact of David Martins'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 David Martins with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Martins more than expected).
Fields of papers citing papers by David Martins
This network shows the impact of papers produced by David Martins. 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 David Martins. The network helps show where David Martins may publish in the future.
Co-authorship network
The 25 scholars most cited alongside David Martins, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 3 | |
| 2 | 2019 | 19 | |
| 3 | 2018 | 3 | |
| 4 | 2017 | 38 | |
| 5 | A Framework for Scalable Inference of Temporal Gene Regulatory Networks based on Clustering and Multivariate Analysis. | 2016 | 1 |
| 6 | 2013 | 50 | |
| 7 | 2013 | 16 | |
| 8 | 2010 | 16 | |
| 9 | 2009 | 176 | |
| 10 | 2009 | 13 | |
| 11 | 2008 | 16 | |
| 12 | 2008 | 73 | |
| 13 | 2007 | 2 | |
| 14 | Prevalence of Cardiovascular Risk Factors and the Serum Levels of 25-Hydroxyvitamin D in the United States Hit paper breakdown → | 2007 | 677 |
| 15 | Sodium disorders in the elderly. | 2005 | 26 |
| 16 | 2005 | 15 | |
| 17 | 2005 | 33 | |
| 18 | 2004 | 16 | |
| 19 | 2002 | 69 | |
| 20 | 2002 | 19 |
About David Martins
David Martins is a scholar working on Nephrology, Family Practice, Geriatrics and Gerontology, Pathology and Forensic Medicine and Applied Microbiology and Biotechnology, having authored 78 papers that have together received 2.8k indexed citations. Recurring topics across this work include Gene expression and cancer classification (17 papers), Gene Regulatory Network Analysis (15 papers), Bioinformatics and Genomic Networks (15 papers), Vitamin D Research Studies (8 papers), Chronic Kidney Disease and Diabetes (8 papers), Blood Pressure and Hypertension Studies (8 papers), Dialysis and Renal Disease Management (7 papers) and Algorithms and Data Compression (4 papers). The work is most often cited by research in Pathology and Forensic Medicine (1.0k citations), Nephrology (325 citations), Orthopedics and Sports Medicine (305 citations), Nutrition and Dietetics (480 citations) and Family Practice (64 citations). David Martins has collaborated with scholars based in United States, Brazil and Poland. Frequent co-authors include Keith C. Norris, Naureen Tareen, Deyu Pan, Ashraf Zadshir, Myles Wolf, Rajnish Mehrotra, Ravi Thadhani, Barton S. Levine, Arnold J. Felsenfeld and Janni J. Kinsler. Their work appears in journals such as BMC Bioinformatics, Scientific Reports, Kidney International, Information Sciences and European Heart Journal.
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.