Anna Åkesson

52 papers receiving 1.5k citations

Anna Åkesson's Hit Papers

Cystatin C–Based Equation to Estimate GFR without the Inclusion of Race and Sex 2023 · 175 citations
1750+2+4Years since publication50100150200250

Peers

Anna Åkesson
Comparison fields: 5 of 81
  • Nephrology 632
  • Health, Toxicology and Mutagenesis 104
  • Health Informatics 17
  • Radiology, Nuclear Medicine and Imaging 138
  • Pulmonary and Respiratory Medicine 163
Replace Chew‐Teng Kor with:
Chew‐Teng Kor Taiwan
Jung Nam An South Korea
Daqing Hong China
Shijun Li China
Giovanni Tripepi Italy
Félix José Alvarez Ramires Brazil
Qin Wan China
Anna Pisano Italy
Ji Cheol Bae South Korea
Jonathan J. Taliercio United States
Anna Åkesson relative to Chew‐Teng Kor Taiwan Chew‐Teng Kor's profile →
Citations per field
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Citations per year

Countries citing papers authored by Anna Åkesson

Since Specialization
Citations

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

Fields of papers citing papers by Anna Åkesson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Anna Åkesson, 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 Anna Åkesson Line = papers co-authored together Anna Åkesson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Development and Validation of a Modified Full Age Spectrum Creatinine-Based Equation to Estimate Glomerular Filtration Rate
Hit paper breakdown →
2020275
2
Cystatin C–Based Equation to Estimate GFR without the Inclusion of Race and Sex
Hit paper breakdown →
2023175
3 2005171
4 2020106
5 202270
6 202265
7 202159
8 202057
9 202357
10 202154
11 201945
12 202037
13 202130
14 201926
15 202125
16 202425
17 202024
18 202023
19 202216
20 202015

About Anna Åkesson

Anna Åkesson is a scholar working on Nephrology, Rheumatology, Dermatology, Pulmonary and Respiratory Medicine and Reproductive Medicine, having authored 55 papers that have together received 1.5k indexed citations. Recurring topics across this work include Chronic Kidney Disease and Diabetes (15 papers), Digital Radiography and Breast Imaging (4 papers), Orthopedic Surgery and Rehabilitation (3 papers), Cardiovascular Health and Disease Prevention (3 papers), Dupuytren's Contracture and Treatments (3 papers), Neuroendocrine Tumor Research Advances (3 papers), Global Cancer Incidence and Screening (2 papers) and Acute Kidney Injury Research (2 papers). The work is most often cited by research in Nephrology (632 citations), Health, Toxicology and Mutagenesis (104 citations), Health Informatics (17 citations), Radiology, Nuclear Medicine and Imaging (138 citations) and Pulmonary and Respiratory Medicine (163 citations). Anna Åkesson has collaborated with scholars based in Sweden, Germany and Norway. Frequent co-authors include Sophia Zackrisson, Yasushi Suwazono, Marie Vahter, Lars Järup, Tobias Alfvén, Ingvar Andersson, Kristina Lång, Isam Atroshi, ANDERS O. GRUBB and Magnus Dustler. Their work appears in journals such as Scandinavian Journal of Clinical and Laboratory Investigation, Clinical Kidney Journal, Radiology, Nephrology Dialysis Transplantation and Journal of Nuclear 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.

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