Julia Karlsson

408 total citations
9 papers, 299 citations indexed

About

Julia Karlsson is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Hematology. According to data from OpenAlex, Julia Karlsson has authored 9 papers receiving a total of 299 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Cardiology and Cardiovascular Medicine and 2 papers in Hematology. Recurrent topics in Julia Karlsson's work include Blood Pressure and Hypertension Studies (3 papers), Renin-Angiotensin System Studies (3 papers) and Health Systems, Economic Evaluations, Quality of Life (2 papers). Julia Karlsson is often cited by papers focused on Blood Pressure and Hypertension Studies (3 papers), Renin-Angiotensin System Studies (3 papers) and Health Systems, Economic Evaluations, Quality of Life (2 papers). Julia Karlsson collaborates with scholars based in Sweden, United States and United Kingdom. Julia Karlsson's co-authors include Thomas Kahan, Håkan Melhus, Lisa Kurland, Lars Lind, Fredrik H. Nyström, Karin Malmqvist, K. Peter Öhman, Anders Hägg, Pär Hallberg and Ulrika Liljedahl and has published in prestigious journals such as Scientific Reports, Nephrology Dialysis Transplantation and Journal of Hypertension.

In The Last Decade

Julia Karlsson

8 papers receiving 290 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Julia Karlsson Sweden 6 176 172 108 76 37 9 299
C Leiendecker‐Foster United States 11 123 0.7× 118 0.7× 57 0.5× 72 0.9× 45 1.2× 15 388
Maria Teresa Sciarrone Alibrandi Italy 8 286 1.6× 263 1.5× 78 0.7× 208 2.7× 80 2.2× 24 519
Jeffrey Rollo United States 8 53 0.3× 153 0.9× 144 1.3× 56 0.7× 17 0.5× 14 345
Kotoko Kosuge Japan 13 120 0.7× 116 0.7× 31 0.3× 97 1.3× 62 1.7× 20 365
Surai Thaneemit-Chen United States 7 112 0.6× 397 2.3× 88 0.8× 257 3.4× 38 1.0× 7 557
Quince Gibson United States 6 60 0.3× 140 0.8× 49 0.5× 41 0.5× 29 0.8× 6 264
Kazuaki Enya Japan 9 169 1.0× 105 0.6× 43 0.4× 134 1.8× 18 0.5× 17 465
Björn Wahlstrand Sweden 11 104 0.6× 122 0.7× 43 0.4× 151 2.0× 65 1.8× 13 404
Ajeeth K. Pingili United States 13 97 0.6× 81 0.5× 31 0.3× 107 1.4× 33 0.9× 18 348
Marta Tomás Spain 6 64 0.4× 244 1.4× 38 0.4× 102 1.3× 17 0.5× 22 401

Countries citing papers authored by Julia Karlsson

Since Specialization
Citations

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

Fields of papers citing papers by Julia Karlsson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julia Karlsson

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

All Works

9 of 9 papers shown
1.
Karlsson, Julia, et al.. (2023). #3486 CELL-FREE CIRCULATING DNA IN ANCA-ASSOCIATED VASCULITIS – A COMPARISON OF PATIENTS DURING ACTIVE DISEASE AND REMISSION. Nephrology Dialysis Transplantation. 38(Supplement_1). 1 indexed citations
2.
Gerlee, Philip, Julia Karlsson, Thomas Brezicka, et al.. (2021). Predicting regional COVID-19 hospital admissions in Sweden using mobility data. Scientific Reports. 11(1). 24171–24171. 4 indexed citations
3.
Karlsson, Julia. (2016). Mini cases vs. Full length case studies : advantages and disadvantages. KTH Publication Database DiVA (KTH Royal Institute of Technology).
5.
Hallberg, Pär, Lars Lind, Karl Michaëlsson, et al.. (2003). B2 bradykinin receptor (B2BKR) polymorphism and change in left ventricular mass in response to antihypertensive treatment. Journal of Hypertension. 21(3). 621–624. 22 indexed citations
6.
Liljedahl, Ulrika, Julia Karlsson, Håkan Melhus, et al.. (2003). A microarray minisequencing system for pharmacogenetic profiling of antihypertensive drug response.. Pharmacogenetics. 13(1). 7–17. 52 indexed citations
8.
Hallberg, Pär, Julia Karlsson, Lisa Kurland, et al.. (2002). The CYP2C9 genotype predicts the blood pressure response to irbesartan: results from the Swedish Irbesartan Left Ventricular Hypertrophy Investigation vs Atenolol (SILVHIA) trial. Journal of Hypertension. 20(10). 2089–2093. 62 indexed citations
9.
Kurland, Lisa, Håkan Melhus, Julia Karlsson, et al.. (2001). Angiotensin converting enzyme gene polymorphism predicts blood pressure response to angiotensin II receptor type 1 antagonist treatment in hypertensive patients. Journal of Hypertension. 19(10). 1783–1787. 98 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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