Juri Karjagin

1.6k total citations
17 papers, 261 citations indexed

About

Juri Karjagin is a scholar working on Pharmacology, Surgery and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Juri Karjagin has authored 17 papers receiving a total of 261 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Pharmacology, 7 papers in Surgery and 5 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Juri Karjagin's work include Antibiotics Pharmacokinetics and Efficacy (8 papers), Abdominal Surgery and Complications (5 papers) and Cardiac, Anesthesia and Surgical Outcomes (4 papers). Juri Karjagin is often cited by papers focused on Antibiotics Pharmacokinetics and Efficacy (8 papers), Abdominal Surgery and Complications (5 papers) and Cardiac, Anesthesia and Surgical Outcomes (4 papers). Juri Karjagin collaborates with scholars based in Estonia, Germany and Finland. Juri Karjagin's co-authors include Joel Starkopf, Hartmut Kern, Martin Padar, Liis Starkopf, Kersti Oselin, Karin Kipper, Liivi Maddison, Sandrine Marchand, Sandrine Lefeuvre and William Couet and has published in prestigious journals such as Antimicrobial Agents and Chemotherapy, Clinical Pharmacology & Therapeutics and Journal of Antimicrobial Chemotherapy.

In The Last Decade

Juri Karjagin

16 papers receiving 258 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Juri Karjagin Estonia 8 98 94 76 48 41 17 261
Hakeam A. Hakeam Saudi Arabia 10 199 2.0× 52 0.6× 82 1.1× 52 1.1× 37 0.9× 21 406
Aletta P. I. Houwink Netherlands 7 158 1.6× 93 1.0× 41 0.5× 80 1.7× 19 0.5× 10 376
Máxima Lizán-García Spain 7 110 1.1× 68 0.7× 62 0.8× 165 3.4× 19 0.5× 14 375
Calvin J. Meaney United States 11 45 0.5× 111 1.2× 41 0.5× 51 1.1× 133 3.2× 32 445
Elisabetta Parenti Italy 14 81 0.8× 76 0.8× 96 1.3× 46 1.0× 165 4.0× 23 525
Magnus Kaffarnik Germany 11 96 1.0× 42 0.4× 58 0.8× 128 2.7× 35 0.9× 28 333
Arnaud Foucrier France 9 99 1.0× 91 1.0× 112 1.5× 90 1.9× 107 2.6× 17 350
Şeval İzdeş Türkiye 12 171 1.7× 63 0.7× 87 1.1× 83 1.7× 41 1.0× 59 477
Emmanuel Novy France 9 81 0.8× 109 1.2× 42 0.6× 142 3.0× 45 1.1× 33 377
Mir Mohammad Miri Iran 12 36 0.4× 43 0.5× 32 0.4× 74 1.5× 57 1.4× 53 403

Countries citing papers authored by Juri Karjagin

Since Specialization
Citations

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

Fields of papers citing papers by Juri Karjagin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Juri Karjagin

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

All Works

17 of 17 papers shown
1.
Metsvaht, Tuuli, Kadri Tamme, Juri Karjagin, et al.. (2025). Subgroup-based model selection to improve the prediction of vancomycin concentrations. Antimicrobial Agents and Chemotherapy. 69(9). e0017425–e0017425.
2.
Kolk, Helgi, et al.. (2022). Management of Proximal Femoral Fractures. Proceedings of the Latvian Academy of Sciences Section B Natural Exact and Applied Sciences. 76(3). 377–381. 2 indexed citations
3.
Saar, M., et al.. (2021). Solid oral medications' suitability for use in enteral feeding tubes. Nursing in Critical Care. 27(5). 698–705. 3 indexed citations
4.
Maddison, Liivi, et al.. (2021). The Pharmacokinetic Profile and Bioavailability of Enteral N-Acetylcysteine in Intensive Care Unit. Medicina. 57(11). 1218–1218. 13 indexed citations
5.
Jovaiša, Tomas, et al.. (2020). Are We Meeting the Current Standards of Consent for Anesthesia? An International Survey of Clinical Practice. Medical Science Monitor. 26. e925905–e925905. 1 indexed citations
6.
Tamme, Kadri, Kersti Oselin, Karin Kipper, et al.. (2015). Pharmacokinetics and pharmacodynamics of piperacillin/tazobactam during high volume haemodiafiltration in patients with septic shock. Acta Anaesthesiologica Scandinavica. 60(2). 230–240. 14 indexed citations
7.
Karjagin, Juri, et al.. (2014). Postoperative complications and mortality after major gastrointestinal surgery. Medicina. 50(2). 111–117. 100 indexed citations
8.
Maddison, Liivi, Juri Karjagin, Jyrki Tenhunen, Ülle Kirsimägi, & Joel Starkopf. (2014). Moderate Intra-Abdominal Hypertension Leads to Anaerobic Metabolism in the Rectus Abdominis Muscle Tissue of Critically Ill Patients: A Prospective Observational Study. BioMed Research International. 2014. 1–8. 2 indexed citations
9.
Maddison, Liivi, et al.. (2014). Sublingual microcirculatory changes during transient intra-abdominal hypertension – A prospective observational study in laparoscopic surgery patients. Clinical Hemorheology and Microcirculation. 57(4). 367–374. 4 indexed citations
10.
Tamme, Kadri, Kersti Oselin, Karin Kipper, et al.. (2014). Pharmacokinetics of doripenem during high volume hemodiafiltration in patients with septic shock. The Journal of Clinical Pharmacology. 55(4). 438–446. 5 indexed citations
11.
Maddison, Liivi, et al.. (2013). Sublingual microcirculation in patients with intra-abdominal hypertension: A pilot study in 15 critically ill patients. Journal of Critical Care. 29(1). 183.e1–183.e6. 5 indexed citations
12.
Maddison, Liivi, Juri Karjagin, Jyrki Tenhunen, & Joel Starkopf. (2012). Moderate intra-abdominal hypertension is associated with an increased lactate-pyruvate ratio in the rectus abdominis muscle tissue: a pilot study during laparoscopic surgery. Annals of Intensive Care. 2(Suppl 1). S14–S14. 10 indexed citations
13.
Tamme, Kadri, et al.. (2012). Two Cases of Takotsubo Syndrome Related to Tracheal Intubation/Extubation. Medicina. 48(2). 10–10. 5 indexed citations
14.
Kipper, Karin, Kaili Anier, Ivo Leito, et al.. (2009). Rapid Determination of Meropenem in Biological Fluids by LC: Comparison of Various Methods for Sample Preparation and Investigation of Meropenem Stability. Chromatographia. 70(9-10). 1423–1427. 13 indexed citations
15.
Karjagin, Juri, Sandrine Lefeuvre, Kersti Oselin, et al.. (2007). Pharmacokinetics of Meropenem Determined by Microdialysis in the Peritoneal Fluid of Patients With Severe Peritonitis Associated With Septic Shock. Clinical Pharmacology & Therapeutics. 83(3). 452–459. 56 indexed citations
16.
Karjagin, Juri, et al.. (2005). Distribution of metronidazole in muscle tissue of patients with septic shock and its efficacy against Bacteroides fragilis in vitro. Journal of Antimicrobial Chemotherapy. 55(3). 341–346. 17 indexed citations
17.
Karjagin, Juri, et al.. (2004). Perioperative penetration of metronidazole into muscle tissue: a microdialysis study. European Journal of Clinical Pharmacology. 59(11). 809–813. 11 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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