William E. Sweeney

8.7k citations
96 papers · 4.1k · h-index 37

Impact in

  • Genetics top 0.5%
    • Genetic and Kidney Cyst Diseases
    • Genetic Syndromes and Imprinting
  • Nephrology top 2%
    • Renal Diseases and Glomerulopathies

Papers in

    • Renal and related cancers 55
    • Hedgehog Signaling Pathway Studies 10
    • Genetic and Kidney Cyst Diseases 57
    • Genetic Syndromes and Imprinting 11

William E. Sweeney

94 papers receiving 4.0k citations

Peers

William E. Sweeney
Comparison fields: 5 of 112
  • Genetics 2.7k
  • Nephrology 372
  • Instrumentation 141
  • Pathology and Forensic Medicine 716
  • Molecular Biology 2.7k
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Citations per field
00.5×10×15×20.1×
Kazuo Yoshioka · 1×
Citations per year

Countries citing papers authored by William E. Sweeney

Since Specialization
Citations

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

Fields of papers citing papers by William E. Sweeney

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William E. Sweeney. 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 William E. Sweeney. The network helps show where William E. Sweeney may publish in the future.

Co-authors

The 25 scholars most cited alongside William E. Sweeney, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with William E. Sweeney Line = papers co-authored together William E. Sweeney links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 96 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002340
2 1994293
3 2000174
4 1998165
5 2013158
6 2013131
7 2008123
8 2003119
9 1995117
10 1999107
11 199397
12 199877
13 200372
14 200671
15 201067
16 200366
17 201264
18
Insertional mutagenesis and molecular analysis of a new gene associated with polycystic kidney disease.
199562
19 199060
20 200459

About William E. Sweeney

William E. Sweeney is a scholar working on Molecular Biology, Genetics, Pathology and Forensic Medicine, Astronomy and Astrophysics and Nuclear and High Energy Physics, having authored 96 papers that have together received 4.1k indexed citations. Recurring topics across this work include Genetic and Kidney Cyst Diseases (57 papers), Renal and related cancers (55 papers), Biomedical Research and Pathophysiology (14 papers), Genetic Syndromes and Imprinting (11 papers), Hedgehog Signaling Pathway Studies (10 papers), Astronomy and Astrophysical Research (8 papers), Gamma-ray bursts and supernovae (8 papers) and Renal Diseases and Glomerulopathies (7 papers). The work is most often cited by research in Genetics (2.7k citations), Nephrology (372 citations), Instrumentation (141 citations), Pathology and Forensic Medicine (716 citations) and Molecular Biology (2.7k citations). William E. Sweeney has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Ellis D. Avner, Philip Frost, Richard P. Woychik, John E. Wilkinson, Demetrius Ellis, Koichi Nakanishi, William G. Richards, Bradley K. Yoder, Lucy X. Fan and Xiaogang Li. Their work appears in journals such as Kidney International, Pediatric Nephrology, Journal of the American Society of Nephrology, The Astrophysical Journal Supplement Series and Nuclear Physics A.

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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