Daniel Schneditz

5.2k total citations
168 papers, 3.5k citations indexed

About

Daniel Schneditz is a scholar working on Nephrology, Surgery and Emergency Medical Services. According to data from OpenAlex, Daniel Schneditz has authored 168 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 107 papers in Nephrology, 83 papers in Surgery and 54 papers in Emergency Medical Services. Recurrent topics in Daniel Schneditz's work include Dialysis and Renal Disease Management (105 papers), Hemodynamic Monitoring and Therapy (63 papers) and Central Venous Catheters and Hemodialysis (54 papers). Daniel Schneditz is often cited by papers focused on Dialysis and Renal Disease Management (105 papers), Hemodynamic Monitoring and Therapy (63 papers) and Central Venous Catheters and Hemodialysis (54 papers). Daniel Schneditz collaborates with scholars based in Austria, United States and Poland. Daniel Schneditz's co-authors include John T. Daugirdas, Nathan W. Levin, Allen Kaufman, Fansan Zhu, John C. Van Stone, Frank M. van der Sande, Alice T. Morris, Werner Ribitsch, H Pogglitsch and U Binswanger and has published in prestigious journals such as PLoS ONE, Journal of Applied Physiology and Kidney International.

In The Last Decade

Daniel Schneditz

162 papers receiving 3.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Schneditz Austria 34 2.3k 1.5k 1.2k 645 452 168 3.5k
V. Wizemann Germany 28 2.7k 1.2× 1.3k 0.9× 861 0.7× 286 0.4× 635 1.4× 86 3.6k
Charles Chazot France 35 3.6k 1.6× 1.2k 0.8× 883 0.8× 661 1.0× 531 1.2× 132 4.6k
Frank A. Gotch United States 36 3.7k 1.7× 1.1k 0.8× 1.4k 1.2× 563 0.9× 361 0.8× 111 4.4k
Bernard Charra France 26 2.8k 1.3× 1.2k 0.8× 829 0.7× 636 1.0× 457 1.0× 71 4.0k
Nancy L. Lew United States 22 3.2k 1.4× 934 0.6× 869 0.7× 501 0.8× 810 1.8× 23 3.9k
Francisco Maduell Spain 25 2.6k 1.1× 1.3k 0.9× 1.1k 1.0× 283 0.4× 267 0.6× 149 3.2k
Frank M. van der Sande Netherlands 47 4.5k 2.0× 2.3k 1.6× 2.0k 1.7× 1.6k 2.5× 984 2.2× 224 7.0k
Roger Greenwood United Kingdom 30 3.0k 1.3× 948 0.6× 1.3k 1.1× 823 1.3× 174 0.4× 74 4.2k
James Tattersall United Kingdom 25 2.2k 1.0× 1.0k 0.7× 1.2k 1.0× 671 1.0× 268 0.6× 58 3.0k
Thomas A. Depner United States 38 4.7k 2.1× 1.5k 1.0× 2.3k 1.9× 669 1.0× 258 0.6× 107 5.6k

Countries citing papers authored by Daniel Schneditz

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Schneditz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Schneditz

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

All Works

20 of 20 papers shown
1.
Schneditz, Daniel, et al.. (2025). Estimation of Absolute Blood Volume Using Online Dialysate Dilution: More Questions. ASAIO Journal. 71(11). e172–e173.
2.
Schneditz, Daniel, et al.. (2023). Comparable Hemodilution with Hypertonic Glucose in Patients with and without Type-2 Diabetes Mellitus during Hemodialysis. Nutrients. 15(3). 536–536. 1 indexed citations
3.
Schneditz, Daniel, et al.. (2023). New Approach for Intradialytic Estimation of Absolute Blood Volume During Ultrafiltration. Journal of the American Society of Nephrology. 34(11S). 158–158. 1 indexed citations
4.
Szamotulska, Katarzyna, et al.. (2023). Changes of Hemodynamic Parameters after Intradialytic Glucose Injection. Nutrients. 15(2). 437–437. 1 indexed citations
5.
Riedl, Regina, Peter P. Rainer, Daniel Schneditz, et al.. (2023). Changes in cardiac troponins during hemodialysis depend on hemodialysis membrane and modality: a randomized crossover trial. Clinical Kidney Journal. 17(1). sfad297–sfad297. 1 indexed citations
6.
Mayer, Christopher, et al.. (2023). Bioimpedance-derived euvolemic weight varies in hemodialysis patients—challenging the fixed target weight concept. Nephrology Dialysis Transplantation. 39(3). 550–552. 1 indexed citations
7.
Kron, Susanne, et al.. (2022). Dynamics of vascular refilling in extended nocturnal hemodialysis. Hemodialysis International. 26(4). 540–547. 3 indexed citations
8.
Schneditz, Daniel, et al.. (2021). Glucose tolerance in patients with and without type 2 diabetes mellitus during hemodialysis. Diabetes Research and Clinical Practice. 173. 108694–108694. 5 indexed citations
9.
Kron, Susanne, et al.. (2021). An improved method to estimate absolute blood volume based on dialysate dilution. Artificial Organs. 45(9). E359–E363. 6 indexed citations
10.
Schneditz, Daniel, et al.. (2021). Modeling of insulin secretion and insulin mass balance during hemodialysis in patients with and without type 2 diabetes. Journal of Applied Biomedicine. 41(2). 391–401. 5 indexed citations
11.
Klaritsch, Philipp, et al.. (2020). Amniodrainage-Induced Circulatory Dysfunction in Women Treated for Twin-To-Twin Transfusion Syndrome. Journal of Clinical Medicine. 9(7). 2085–2085. 1 indexed citations
12.
Jung, Aleksandra, et al.. (2020). Bile acid kinetic modeling in end-stage liver support patients. Journal of Applied Biomedicine. 40(2). 764–773. 3 indexed citations
13.
Basile, Carlo, Christian Combe, Francesco Pizzarelli, et al.. (2020). Recommendations for the prevention, mitigation and containment of the emerging SARS-CoV-2 (COVID-19) pandemic in haemodialysis centres. Nephrology Dialysis Transplantation. 35(5). 737–741. 183 indexed citations
14.
Genovesi, Simonetta, Giuseppe Boriani, Adrian Covic, et al.. (2019). Sudden cardiac death in dialysis patients: different causes and management strategies. Nephrology Dialysis Transplantation. 36(3). 396–405. 48 indexed citations
15.
Kron, Susanne, et al.. (2017). Vascular Refilling Is Not Reduced in Dialysis Sessions with Morbid Events. Blood Purification. 43(4). 309–314. 8 indexed citations
16.
Kron, Susanne, et al.. (2016). Vascular refilling is independent of volume overload in hemodialysis with moderate ultrafiltration requirements. Hemodialysis International. 20(3). 484–491. 23 indexed citations
17.
Schneditz, Daniel, et al.. (2013). Analytical Solution of Multicompartment Solute Kinetics for Hemodialysis. Computational and Mathematical Methods in Medicine. 2013. 1–11. 4 indexed citations
18.
Schneditz, Daniel & Nikolai M. Krivitski. (2003). Vascular Access Recirculation:Measurement and Clinical Implications. Contributions to nephrology. 142. 254–268. 4 indexed citations
19.
Schneditz, Daniel, John C. Van Stone, & John T. Daugirdas. (1993). A Regional Blood Circulation Alternative to In-series Two Compartment Urea Kinetic Modeling. ASAIO Journal. 39(3). M573–M577. 62 indexed citations
20.
Schneditz, Daniel, Thomas Kenner, Eugen Gallasch, & Franz Rainer. (1987). Quick measurement of hematocrit and erythrocyte sedimentation-rate by means of a density tracking method. Annals of Hematology. 55(3). 153–163. 5 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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