Solve Tjora

1.0k total citations · 1 hit paper
10 papers, 745 citations indexed

About

Solve Tjora is a scholar working on Surgery, Cardiology and Cardiovascular Medicine and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Solve Tjora has authored 10 papers receiving a total of 745 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Surgery, 4 papers in Cardiology and Cardiovascular Medicine and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Solve Tjora's work include Cardiovascular Function and Risk Factors (3 papers), Acute Myocardial Infarction Research (3 papers) and Gallbladder and Bile Duct Disorders (2 papers). Solve Tjora is often cited by papers focused on Cardiovascular Function and Risk Factors (3 papers), Acute Myocardial Infarction Research (3 papers) and Gallbladder and Bile Duct Disorders (2 papers). Solve Tjora collaborates with scholars based in Norway, United States and Sweden. Solve Tjora's co-authors include Marc A. Pfeffer, Eugene Braunwald, Costas A. Christophi, Michaël Domanski, Kathleen A. Jablonski, Marc S. Sabatine, Bernard J. Gersh, Jean L. Rouleau, Torbjørn Omland and Madeline Murguia Rice and has published in prestigious journals such as New England Journal of Medicine, Gut and Scandinavian Journal of Gastroenterology.

In The Last Decade

Solve Tjora

9 papers receiving 723 citations

Hit Papers

A Sensitive Cardiac Troponin T Assay in Stable Coronary A... 2009 2026 2014 2020 2009 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Solve Tjora Norway 5 617 282 246 57 45 10 745
İlyas Atar Türkiye 14 460 0.7× 104 0.4× 174 0.7× 50 0.9× 71 1.6× 50 619
Moritz Biener Germany 17 863 1.4× 441 1.6× 267 1.1× 36 0.6× 51 1.1× 55 1.0k
Farah Z. Dawood United States 10 572 0.9× 219 0.8× 155 0.6× 33 0.6× 76 1.7× 14 751
Sivabaskari Pasupathy Australia 7 785 1.3× 523 1.9× 365 1.5× 47 0.8× 45 1.0× 24 928
Jignesh Patel United States 5 572 0.9× 100 0.4× 84 0.3× 42 0.7× 44 1.0× 16 632
Emanuele Canali Italy 14 667 1.1× 400 1.4× 279 1.1× 22 0.4× 28 0.6× 22 806
Berit Moehring Switzerland 11 824 1.3× 457 1.6× 251 1.0× 32 0.6× 35 0.8× 15 1.0k
Andrea Perkan Italy 14 526 0.9× 83 0.3× 181 0.7× 56 1.0× 61 1.4× 57 653
Seong‐Ill Woo South Korea 13 331 0.5× 143 0.5× 148 0.6× 33 0.6× 33 0.7× 42 403
Michael S. Remetz United States 15 366 0.6× 158 0.6× 173 0.7× 93 1.6× 76 1.7× 32 617

Countries citing papers authored by Solve Tjora

Since Specialization
Citations

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

Fields of papers citing papers by Solve Tjora

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Solve Tjora

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

All Works

10 of 10 papers shown
1.
Leósdóttir, Margrét, Ronnie Willenheimer, Christian Hall, et al.. (2011). Age and gender differences in the association between Nt-proBNP and glucometabolic disturbances. Scandinavian Cardiovascular Journal. 45(5). 294–300. 2 indexed citations
2.
Agewall, Stefan & Solve Tjora. (2011). Fysisk anstrengelse kan gi høye troponinverdier. Tidsskrift for Den norske legeforening. 131(22). 2226–2226. 4 indexed citations
3.
Hallén, Jonas, Odd Erik Johansen, Kåre I. Birkeland, et al.. (2010). Determinants and prognostic implications of Cardiac Troponin T measured by a sensitive assay in Type 2 Diabetes Mellitus. Cardiovascular Diabetology. 9(1). 52–52. 35 indexed citations
4.
Omland, Torbjørn, James A. de Lemos, Marc S. Sabatine, et al.. (2009). A Sensitive Cardiac Troponin T Assay in Stable Coronary Artery Disease. New England Journal of Medicine. 361(26). 2538–2547. 667 indexed citations breakdown →
5.
Farup, Per G., et al.. (1991). Effect of Cisapride on Symptoms and Biliary D in Patients with Postcholecystectomy Syndrome. Scandinavian Journal of Gastroenterology. 26(9). 945–950. 10 indexed citations
6.
Farup, Per G. & Solve Tjora. (1989). Sphincter of Oddi Dysfunction: Dynamic Cholescintigraphy and Endoscopic Retrograde Cholangiopancreatography with Papillotomy in Diagnosis, Treatment, and Follow-up Study. Scandinavian Journal of Gastroenterology. 24(8). 956–960. 10 indexed citations
7.
Vatn, Morten H., et al.. (1985). Lactate Dehydrogenase Isoenzymes in Mucosal Biopsy Specimens from Patients with Ulcerative Colitis. Scandinavian Journal of Gastroenterology. 20(8). 929–932. 2 indexed citations
8.
Vatn, M H, et al.. (1982). Enzymatic characteristics of tubular adenomas and carcinomas of the large intestine.. Gut. 23(3). 194–197. 14 indexed citations
9.
Eika, C., et al.. (1981). [Is serum ferritin of any use in the diagnosis of iron deficiency?].. PubMed. 101(22). 1177–9.
10.
Tjora, Solve, et al.. (1979). Mixed bullous disease with labile erythrocyte sedimentation rate. Acta Dermato Venereologica. 59(6). 531–533. 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026