Judy Savige

9.3k total citations
192 papers, 5.1k citations indexed

About

Judy Savige is a scholar working on Immunology and Allergy, Pulmonary and Respiratory Medicine and Molecular Biology. According to data from OpenAlex, Judy Savige has authored 192 papers receiving a total of 5.1k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Immunology and Allergy, 58 papers in Pulmonary and Respiratory Medicine and 56 papers in Molecular Biology. Recurrent topics in Judy Savige's work include Cell Adhesion Molecules Research (69 papers), Vasculitis and related conditions (49 papers) and Renal Diseases and Glomerulopathies (48 papers). Judy Savige is often cited by papers focused on Cell Adhesion Molecules Research (69 papers), Vasculitis and related conditions (49 papers) and Renal Diseases and Glomerulopathies (48 papers). Judy Savige collaborates with scholars based in Australia, United Kingdom and United States. Judy Savige's co-authors include Deb Colville, Wendy Pollock, Frances Flinter, Allan Wiik, J. Charles Jennette, Linus Chang, Hayat Dagher, Mark Buzza, Yan Yan Wang and D.J.G. Davies and has published in prestigious journals such as PLoS ONE, Diabetes Care and The Journal of Physiology.

In The Last Decade

Judy Savige

181 papers receiving 5.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Judy Savige Australia 36 1.7k 1.6k 1.5k 1.4k 825 192 5.1k
Clifford E. Kashtan United States 41 809 0.5× 1.6k 1.0× 2.8k 1.8× 3.0k 2.1× 1.3k 1.6× 118 6.5k
Yves Pirson Belgium 44 1.2k 0.7× 556 0.3× 2.3k 1.5× 2.0k 1.4× 3.0k 3.6× 200 7.4k
Laure‐Hélène Noël France 51 2.5k 1.5× 376 0.2× 2.0k 1.3× 3.8k 2.6× 655 0.8× 179 8.1k
Caroline O.S. Savage United Kingdom 41 4.1k 2.5× 755 0.5× 1.0k 0.7× 1.2k 0.8× 189 0.2× 86 6.3k
Nicoletta Del Papa Italy 42 834 0.5× 488 0.3× 644 0.4× 425 0.3× 305 0.4× 138 4.8k
C. G. M. Kallenberg Netherlands 35 4.4k 2.6× 470 0.3× 835 0.5× 936 0.6× 359 0.4× 74 7.2k
María C. Cid Spain 55 7.3k 4.3× 1.1k 0.7× 1.8k 1.2× 1.1k 0.8× 644 0.8× 204 11.4k
Alessandro Pecci Italy 40 643 0.4× 357 0.2× 1.1k 0.7× 349 0.2× 487 0.6× 123 4.3k
Carlos García‐Porrúa Spain 45 3.8k 2.3× 402 0.3× 832 0.5× 919 0.6× 156 0.2× 154 6.9k
Renato Alberto Sinico Italy 39 5.6k 3.3× 407 0.3× 948 0.6× 2.1k 1.4× 235 0.3× 140 7.9k

Countries citing papers authored by Judy Savige

Since Specialization
Citations

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

Fields of papers citing papers by Judy Savige

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Judy Savige

This figure shows the co-authorship network connecting the top 25 collaborators of Judy Savige. A scholar is included among the top collaborators of Judy Savige 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 Judy Savige. Judy Savige 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.
Savige, Judy, et al.. (2025). Lithuanian Study on COL4A3 and COL4A4 Genetic Variants in Alport Syndrome: Clinical Characterization of 52 Individuals from 38 Families. International Journal of Molecular Sciences. 26(15). 7639–7639.
2.
Savige, Judy, Alvin Yu Jin Ng, See Cheng Yeo, et al.. (2025). Pathogenic variants in the Alport genes are prevalent in the Singapore multiethnic population with highest frequency in the Chinese. Scientific Reports. 15(1). 7691–7691.
3.
4.
Deltas, Constantinos, Gregory Papagregoriou, Stavroula F. Louka, et al.. (2023). Genetic Modifiers of Mendelian Monogenic Collagen IV Nephropathies in Humans and Mice. Genes. 14(9). 1686–1686. 8 indexed citations
5.
Huang, Mary, et al.. (2023). Population Frequency of Undiagnosed Fabry Disease in the General Population. Kidney International Reports. 8(7). 1373–1379. 8 indexed citations
6.
Trevillian, Paul, Peter Diakumis, Yanyan Wang, et al.. (2022). KCTD1 and Scalp-Ear-Nipple (‘Finlay–Marks’) syndrome may be associated with myopia and Thin basement membrane nephropathy through an effect on the collagen IV α3 and α4 chains. Ophthalmic Genetics. 44(1). 19–27. 5 indexed citations
7.
Savige, Judy, et al.. (2015). Ocular Features in Alport Syndrome. Clinical Journal of the American Society of Nephrology. 10(4). 703–709. 125 indexed citations
8.
Tchan, Michel, Judy Savige, Chirag Patel, et al.. (2015). KHA-CARI Autosomal Dominant Polycystic Kidney Disease Guideline: Genetic Testing for Diagnosis. Seminars in Nephrology. 35(6). 545–549.e2. 6 indexed citations
9.
Kawasaki, Ryo, et al.. (2011). The Microvasculature in Chronic Kidney Disease. Clinical Journal of the American Society of Nephrology. 6(8). 1872–1878. 61 indexed citations
10.
Colville, Deb, et al.. (2008). Retinal atrophy associated with FSGS in a patient with MELAS syndrome. Kidney International. 74(2). 252–252. 5 indexed citations
11.
Colville, Deb, et al.. (2008). The use of ocular abnormalities to diagnose X-linked Alport syndrome in children. Pediatric Nephrology. 23(8). 1245–1250. 15 indexed citations
12.
Tonna, Stephen, Krishna R. Polu, Gerald B. Appel, et al.. (2008). NPHS2variation in focal and segmental glomerulosclerosis. BMC Nephrology. 9(1). 13–13. 38 indexed citations
13.
Buzza, Mark, Hayat Dagher, D. J. Wilson, et al.. (2003). Mutations in the COL4A4 gene in thin basement membrane disease. Kidney International. 63(2). 447–453. 54 indexed citations
14.
Heath, Karen E., Ángel Campos‐Barros, Amos Toren, et al.. (2001). Nonmuscle Myosin Heavy Chain IIA Mutations Define a Spectrum of Autosomal Dominant Macrothrombocytopenias: May-Hegglin Anomaly and Fechtner, Sebastian, Epstein, and Alport-Like Syndromes. The American Journal of Human Genetics. 69(5). 1033–1045. 205 indexed citations
15.
Paspaliaris, Bill, et al.. (2000). Indirect immunofluorescence (IIF) of normal washed peripheral blood cells to demonstrate antineutrophil cytoplasmic antibodies (ANCA). Journal of Clinical Pathology. 53(10). 774–777. 5 indexed citations
16.
Savige, Judy, et al.. (1997). Ocular manifestations of autosomal recessive Alport syndrome. Ophthalmic Genetics. 18(3). 119–128. 62 indexed citations
17.
Chang, Liang, Steve Binos, & Judy Savige. (1995). EPITOPE MAPPING OF ANTIPROTEINASE-3 AND ANTIMYELOPEROXIDASE ANTIBODIES. Clinical & Experimental Immunology. 102(1). 4 indexed citations
18.
Cohney, Shlomo, et al.. (1995). Lupus Anticoagulant in Anti-Neutrophil Cytoplasmic Antibody-Associated Polyarteritis. American Journal of Nephrology. 15(2). 157–160. 11 indexed citations
19.
Savige, Judy, et al.. (1989). Exaggerated Glomerular Albuminuria after Cobra Venom Factor in Anti-Glomerular Basement Membrane Disease. ˜The œNephron journals/Nephron journals. 52(1). 29–35. 5 indexed citations
20.
Savige, Judy, et al.. (1989). Lambda-Light-Chain-Mediated Anti-GBM Disease. ˜The œNephron journals/Nephron journals. 52(2). 144–148. 9 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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