Claes‐Roland Martling
- Nephrology top 0.2%
- Acute Kidney Injury Research 20
- Chronic Kidney Disease and Diabetes 11
- Dialysis and Renal Disease Management 9
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- Intensive Care Unit Cognitive Disorders 9
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- Neuropeptides and Animal Physiology 18
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- Neuroscience of respiration and sleep 10
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- Sepsis Diagnosis and Treatment 15
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- Respiratory and Cough-Related Research 7
Claes‐Roland Martling
63 papers receiving 4.5k citations
Hit Papers
Peers
Comparison fields: 5 of 122
- Nephrology 1.4k
- Critical Care and Intensive Care Medicine 933
- Cellular and Molecular Neuroscience 1.4k
- Anesthesiology and Pain Medicine 372
- Endocrine and Autonomic Systems 421
Countries citing papers authored by Claes‐Roland Martling
This map shows the geographic impact of Claes‐Roland Martling'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 Claes‐Roland Martling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Claes‐Roland Martling more than expected).
Fields of papers citing papers by Claes‐Roland Martling
This network shows the impact of papers produced by Claes‐Roland Martling. 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 Claes‐Roland Martling. The network helps show where Claes‐Roland Martling may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Claes‐Roland Martling, 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 | 2018 | 11 | |
| 2 | Calprotectin as an early biomarker of bacterial infections in critically ill patients : an exploratory cohort assessment. | 2017 | 1 |
| 3 | 2016 | 6 | |
| 4 | 2015 | 59 | |
| 5 | 2013 | 30 | |
| 6 | 2012 | 6 | |
| 7 | 2012 | 116 | |
| 8 | 2011 | 30 | |
| 9 | The Outcome of Neutrophil Gelatinase-Associated Lipocalin-Positive Subclinical Acute Kidney Injurybreakdown → | 2011 | 500 |
| 10 | 2007 | 149 | |
| 11 | 2006 | 82 | |
| 12 | 2005 | 48 | |
| 13 | 2004 | 234 | |
| 14 | 1997 | 5 | |
| 15 | 1992 | 1 | |
| 16 | 1989 | 60 | |
| 17 | 1989 | 70 | |
| 18 | 1989 | 61 | |
| 19 | 1988 | 360 | |
| 20 | 1984 | 219 |
About Claes‐Roland Martling
Claes‐Roland Martling is a scholar working on Nephrology, Critical Care and Intensive Care Medicine and Endocrine and Autonomic Systems, having authored 63 papers that have together received 4.7k indexed citations. Recurring topics across this work include Acute Kidney Injury Research (20 papers), Neuropeptides and Animal Physiology (18 papers), Sepsis Diagnosis and Treatment (15 papers), Chronic Kidney Disease and Diabetes (11 papers), Neuroscience of respiration and sleep (10 papers), Dialysis and Renal Disease Management (9 papers), Intensive Care Unit Cognitive Disorders (9 papers) and Respiratory and Cough-Related Research (7 papers). The work is most often cited by research in Nephrology (1.4k citations), Critical Care and Intensive Care Medicine (933 citations) and Cellular and Molecular Neuroscience (1.4k citations). Claes‐Roland Martling has collaborated with scholars based in Sweden, Australia and Austria. Frequent co-authors include Jan M. Lundberg, Alois Saria, Max Bell, Johan Mårtensson, Peter Sackey, Peter J. Radell, Elvar Theodorsson, Anders Ekbom, T. H�kfelt and Per Venge. Their work appears in journals such as Journal of the American College of Cardiology, Neuroscience and Critical Care Medicine.
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.