Michael Rudnicki

2.6k total citations
64 papers, 1.5k citations indexed

About

Michael Rudnicki is a scholar working on Nephrology, Molecular Biology and Immunology. According to data from OpenAlex, Michael Rudnicki has authored 64 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Nephrology, 15 papers in Molecular Biology and 13 papers in Immunology. Recurrent topics in Michael Rudnicki's work include Renal Diseases and Glomerulopathies (20 papers), Vasculitis and related conditions (10 papers) and Chronic Kidney Disease and Diabetes (9 papers). Michael Rudnicki is often cited by papers focused on Renal Diseases and Glomerulopathies (20 papers), Vasculitis and related conditions (10 papers) and Chronic Kidney Disease and Diabetes (9 papers). Michael Rudnicki collaborates with scholars based in Austria, Germany and United States. Michael Rudnicki's co-authors include Gert Mayer, Julia Kerschbaum, Gert Mayer, Paul König, Gerald Cohen, Andreas Kronbichler, Gerald M. Cohen, Walter H. Hörl, Simon Schafferer and Hannes Neuwirt and has published in prestigious journals such as PLoS ONE, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Michael Rudnicki

62 papers receiving 1.4k citations

Peers

Michael Rudnicki

NEPHR

PRM

PFM

IMMUN

Tian‐Biao Zhou China

Yuansheng Xie China

Marcus Brand Germany

Philippe Zaoui France

J. Floege Germany

Paola Pontrelli Italy

Jianling Tao China

Leopoldo Ardiles Chile

Masayuki Yamanouchi Japan

Tracy E. Hunley United States

Tian‐Biao Zhou China

Michael Rudnicki

520 ×0.7

NEPHR

626 ×1.7

225 ×1.0

PRM

203 ×0.9

PFM

232 ×1.2

IMMUN

Citations per year, relative to Michael Rudnicki Michael Rudnicki (= 1×) peers Tian‐Biao Zhou

Countries citing papers authored by Michael Rudnicki

Since Specialization

Citations

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

Fields of papers citing papers by Michael Rudnicki

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Rudnicki

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

All Works

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20 of 20 papers shown

Lanser, Lukas, Michaela Plaikner, Verena Petzer, et al.. (2024). Tissue Iron Distribution in Anemic Patients with End-Stage Kidney Disease: Results of a Pilot Study. Journal of Clinical Medicine. 13(12). 3487–3487. 1 indexed citations

Jäger, Michael, Julia Kerschbaum, Michael Rudnicki, et al.. (2023). Virus-Subtype-Specific Cellular and Humoral Immune Response to a COVID-19 mRNA Vaccine in Chronic Kidney Disease Patients and Renal Transplant Recipients. Microorganisms. 11(7). 1756–1756. 1 indexed citations

Antlanger, Marlies, Daniel Cejka, Kathrin Eller, et al.. (2023). Clopidogrel for Proteinuria Reduction in Focal Segmental Glomerulosclerosis: Phase 2 Trial Design. Kidney International Reports. 9(2). 478–481. 3 indexed citations

Odler, Balazs, Martin Windpessl, Kathrin Eller, et al.. (2023). Diagnose und Therapie der Granulomatose mit Polyangiitis und mikroskopische Polyangiitis – 2023: Konsens-Empfehlungen der Österreichischen Gesellschaften für Nephrologie (ÖGN) & Rheumatologie (ÖGR). Wiener klinische Wochenschrift. 135(S5). 656–674. 1 indexed citations

Gauckler, Philipp, Emanuel Zitt, Heinz Regele, et al.. (2023). Diagnostik und Therapie der Fokal-Segmentalen Glomerulosklerose – 2023. Wiener klinische Wochenschrift. 135(S5). 638–647. 1 indexed citations

Säemann, Marcus D., Balazs Odler, Martin Windpessl, et al.. (2023). Diagnostik und Therapie der Membranösen Nephropathie – 2023. Wiener klinische Wochenschrift. 135(S5). 648–655. 1 indexed citations

Schimpf, Judith, Andreas Kronbichler, Martin Windpessl, et al.. (2023). Diagnostik und Therapie IgA Nephropathie – 2023. Wiener klinische Wochenschrift. 135(S5). 621–627. 3 indexed citations

Rudnicki, Michael, Martin Windpessl, Kathrin Eller, et al.. (2023). Diagnose und Therapie glomerulärer Erkrankungen mit einem membranoproliferativen Läsionsmuster (MPGN) – 2023. Wiener klinische Wochenschrift. 135(S5). 688–695.

Nair, Viji, Johannes Leierer, Michael Rudnicki, et al.. (2022). Assessment of Fibrinogen-like 2 (FGL2) in Human Chronic Kidney Disease through Transcriptomics Data Analysis. Biomolecules. 13(1). 89–89. 4 indexed citations

10.

Zhou, Danlei, Michael Rudnicki, Gilbert T. Chua, et al.. (2021). Human Complement C4B Allotypes and Deficiencies in Selected Cases With Autoimmune Diseases. Frontiers in Immunology. 12. 739430–739430. 16 indexed citations

11.

Perco, Paul, Wenjun Ju, Julia Kerschbaum, et al.. (2019). Identification of dicarbonyl and L-xylulose reductase as a therapeutic target in human chronic kidney disease. JCI Insight. 4(12). 8 indexed citations

12.

Khurana, Rimpi, et al.. (2016). Identification of urinary exosomal noncoding RNAs as novel biomarkers in chronic kidney disease. RNA. 23(2). 142–152. 123 indexed citations

13.

Kronbichler, Andreas, et al.. (2015). Evaluation and validation of biomarkers in granulomatosis with polyangiitis and microscopic polyangiitis. Nephrology Dialysis Transplantation. 31(6). 930–936. 37 indexed citations

14.

Kronbichler, Andreas, et al.. (2015). Extending the spectrum of a chameleon: IgG4-related disease appearing as interstitial nephritis and mimicking anti-neutrophil cytoplasmic antibody–associated vasculitis: Fig. 1. Lara D. Veeken. 54(10). 1936–1938. 3 indexed citations

15.

Ruggenenti, Piero, Barbara Ruggiero, Paolo Cravedi, et al.. (2014). Rituximab in Steroid-Dependent or Frequently Relapsing Idiopathic Nephrotic Syndrome. Journal of the American Society of Nephrology. 25(4). 850–863. 182 indexed citations

16.

Neuwirt, Hannes, Iris E. Eder, Martin Puhr, & Michael Rudnicki. (2012). SOCS-3 is downregulated in progressive CKD patients and regulates proliferation in human renal proximal tubule cells in a STAT1/3 independent manner. Laboratory Investigation. 93(1). 123–134. 11 indexed citations

17.

Hellemons, Merel E., Julia Kerschbaum, Stephan J. L. Bakker, et al.. (2011). Validity of biomarkers predicting onset or progression of nephropathy in patients with Type 2 diabetes: a systematic review. Diabetic Medicine. 29(5). 567–577. 61 indexed citations

18.

Kerschbaum, Julia, Paul König, Johann Hausdorfer, Gert Mayer, & Michael Rudnicki. (2011). Sevelamer use and incidence of peritonitis in peritoneal dialysis. Wiener klinische Wochenschrift. 123(7-8). 204–208. 5 indexed citations

19.

Schramek, Herbert, Andreas Kronbichler, Markus Pirklbauer, et al.. (2009). Neuropilin-1 and neuropilin-2 are differentially expressed in human proteinuric nephropathies and cytokine-stimulated proximal tubular cells. Laboratory Investigation. 89(11). 1304–1316. 28 indexed citations

20.

Hochegger, Kathrin, Michael Rudnicki, Martin Auinger, et al.. (2009). Fever of unknown origin in renal transplant patients with tacrolimus. Clinical Transplantation. 23(4). 575–579. 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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