Sunna Snaedal

1.2k total citations
16 papers, 862 citations indexed

About

Sunna Snaedal is a scholar working on Nephrology, Cardiology and Cardiovascular Medicine and Surgery. According to data from OpenAlex, Sunna Snaedal has authored 16 papers receiving a total of 862 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Nephrology, 5 papers in Cardiology and Cardiovascular Medicine and 4 papers in Surgery. Recurrent topics in Sunna Snaedal's work include Dialysis and Renal Disease Management (9 papers), Pregnancy and preeclampsia studies (3 papers) and Muscle and Compartmental Disorders (3 papers). Sunna Snaedal is often cited by papers focused on Dialysis and Renal Disease Management (9 papers), Pregnancy and preeclampsia studies (3 papers) and Muscle and Compartmental Disorders (3 papers). Sunna Snaedal collaborates with scholars based in Sweden, Iceland and United States. Sunna Snaedal's co-authors include Peter Stenvinkel, Abdul Rashid Qureshi, Peter Bárány, Olof Heimbürger, Bengt Lindholm, Juan Jesús Carrero, Mohamed E. Suliman, Jonas Axelsson, Michael S. Chmielewski and Roberta B. Ness and has published in prestigious journals such as PLoS ONE, Hypertension and American Journal of Kidney Diseases.

In The Last Decade

Sunna Snaedal

16 papers receiving 846 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sunna Snaedal Sweden 12 478 199 168 121 114 16 862
Irene Capelli Italy 21 466 1.0× 86 0.4× 223 1.3× 113 0.9× 32 0.3× 84 1.1k
Hassib Chehade Switzerland 15 326 0.7× 80 0.4× 81 0.5× 346 2.9× 119 1.0× 60 896
Rafael T. Krmar Sweden 18 381 0.8× 94 0.5× 205 1.2× 128 1.1× 26 0.2× 48 1.1k
Ammon Handisurya Austria 21 141 0.3× 280 1.4× 267 1.6× 115 1.0× 235 2.1× 33 1.3k
Imed Helal Tunisia 13 514 1.1× 84 0.4× 178 1.1× 181 1.5× 39 0.3× 33 1.1k
Jayaprakash Sahoo India 16 125 0.3× 117 0.6× 186 1.1× 53 0.4× 109 1.0× 102 1.0k
Toshihide Naganuma Japan 21 468 1.0× 95 0.5× 288 1.7× 71 0.6× 18 0.2× 103 1.3k
Joana E. Kist‐van Holthe Netherlands 22 336 0.7× 76 0.4× 154 0.9× 344 2.8× 20 0.2× 44 1.1k
Martin Kirschstein Germany 13 294 0.6× 73 0.4× 147 0.9× 206 1.7× 26 0.2× 28 1.0k
Jeroen Nauta Netherlands 24 587 1.2× 89 0.4× 131 0.8× 730 6.0× 300 2.6× 45 1.7k

Countries citing papers authored by Sunna Snaedal

Since Specialization
Citations

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

Fields of papers citing papers by Sunna Snaedal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sunna Snaedal. 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 Sunna Snaedal. The network helps show where Sunna Snaedal may publish in the future.

Co-authorship network of co-authors of Sunna Snaedal

This figure shows the co-authorship network connecting the top 25 collaborators of Sunna Snaedal. A scholar is included among the top collaborators of Sunna Snaedal 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 Sunna Snaedal. Sunna Snaedal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
Stenvinkel, Peter, Christian Löwbeer, & Sunna Snaedal. (2024). Troponin T in hemodialysis patients: Unraveling the challenges of interpretation and diagnosis. Kardiologia Polska. 82(3). 257–258. 1 indexed citations
2.
Snaedal, Sunna, Peter Bárány, Sigrún H. Lund, et al.. (2020). High-sensitivity troponins in dialysis patients: variation and prognostic value. Clinical Kidney Journal. 14(7). 1789–1797. 14 indexed citations
3.
Sun, Jia, Abdul Rashid Qureshi, Lu Dai, et al.. (2018). The higher mortality associated with low serum albumin is dependent on systemic inflammation in end-stage kidney disease. PLoS ONE. 13(1). e0190410–e0190410. 114 indexed citations
4.
Snaedal, Sunna, Abdul Rashid Qureshi, Sigrún H. Lund, et al.. (2016). Dialysis modality and nutritional status are associated with variability of inflammatory markers. Nephrology Dialysis Transplantation. 31(8). 1320–1327. 39 indexed citations
5.
Snaedal, Sunna, Abdul Rashid Qureshi, Juan Jesús Carrero, et al.. (2014). Determinants of N-Terminal Pro-Brain Natriuretic Peptide Variation in Hemodialysis Patients and Prediction of Survival. Blood Purification. 37(2). 138–145. 7 indexed citations
6.
Janerot-Sjöberg, Birgitta, Sunna Snaedal, Peter Stenvinkel, et al.. (2014). Three-month variation of plasma pentraxin 3 compared with C-reactive protein, albumin and homocysteine levels in haemodialysis patients. Clinical Kidney Journal. 7(4). 373–379. 7 indexed citations
7.
Xu, Hong, Iván Cabezas‐Rodríguez, Abdul Rashid Qureshi, et al.. (2014). Increased Levels of Modified Advanced Oxidation Protein Products are Associated with Central and Peripheral Blood Pressure in Peritoneal Dialysis Patients. Peritoneal Dialysis International. 35(4). 460–470. 20 indexed citations
8.
Meuwese, Christiaan L., Sunna Snaedal, Nynke Halbesma, et al.. (2010). Trimestral variations of C-reactive protein, interleukin-6 and tumour necrosis factor-  are similarly associated with survival in haemodialysis patients. Nephrology Dialysis Transplantation. 26(4). 1313–1318. 64 indexed citations
9.
Snaedal, Sunna, Olof Heimbürger, Abdul Rashid Qureshi, et al.. (2009). Comorbidity and Acute Clinical Events as Determinants of C-Reactive Protein Variation in Hemodialysis Patients: Implications for Patient Survival. American Journal of Kidney Diseases. 53(6). 1024–1033. 91 indexed citations
10.
Metry, George, Peter Stenvinkel, Abdul Rashid Qureshi, et al.. (2008). Low serum fetuin‐A concentration predicts poor outcome only in the presence of inflammation in prevalent haemodialysis patients. European Journal of Clinical Investigation. 38(11). 804–811. 46 indexed citations
11.
Guo, Qunying, Peter Bárány, Abdul Rashid Qureshi, et al.. (2008). N-Terminal Pro-Brain Natriuretic Peptide Independently Predicts Protein Energy Wasting and Is Associated with All-Cause Mortality in Prevalent HD Patients. American Journal of Nephrology. 29(6). 516–523. 19 indexed citations
12.
Carrero, Juan Jesús, Alberto Ortíz, Abdul Rashid Qureshi, et al.. (2008). Additive Effects of Soluble TWEAK and Inflammation on Mortality in Hemodialysis Patients. Clinical Journal of the American Society of Nephrology. 4(1). 110–118. 98 indexed citations
13.
Carrero, Juan Jesús, Michael S. Chmielewski, Jonas Axelsson, et al.. (2008). Muscle atrophy, inflammation and clinical outcome in incident and prevalent dialysis patients. Clinical Nutrition. 27(4). 557–564. 225 indexed citations
14.
Hubel, Carl A., Robert W. Powers, Sunna Snaedal, et al.. (2008). C-Reactive Protein Is Elevated 30 Years After Eclamptic Pregnancy. Hypertension. 51(6). 1499–1505. 59 indexed citations
15.
Hubel, Carl A., Sunna Snaedal, Roberta B. Ness, et al.. (2000). Dyslipoproteinaemia in postmenopausal women with a history of eclampsia. BJOG An International Journal of Obstetrics & Gynaecology. 107(6). 776–784. 57 indexed citations
16.
Hubel, Carl A., et al.. (1998). Women with a history of eclampsia manifest dyslipidemia during later Life. Journal of the Society for Gynecologic Investigation. 5(1). 40A–40A. 1 indexed citations

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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