Sean Eddy

4.8k citations
66 papers · 3.3k · 1 hit paper · h-index 32

Impact in

Papers in

    • Renal Diseases and Glomerulopathies 21
    • Chronic Kidney Disease and Diabetes 18
    • Renal and related cancers 10
    • Single-cell and spatial transcriptomics 6

Sean Eddy

64 papers receiving 3.2k citations

Sean Eddy's Hit Papers

An atlas of healthy and injured cell states and niches in the human kidney 2023 · 394 citations
3940+1+2Years since publication100200300

Peers

Sean Eddy
Comparison fields: 5 of 128
  • Nephrology 806
  • Cancer Research 372
  • Molecular Biology 1.3k
  • Immunology 354
  • Transplantation 37
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Citations per field
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Citations per year

Countries citing papers authored by Sean Eddy

Since Specialization
Citations

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

Fields of papers citing papers by Sean Eddy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Sean Eddy, 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 Sean Eddy Line = papers co-authored together Sean Eddy links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1
An atlas of healthy and injured cell states and niches in the human kidney
Hit paper breakdown →
2023394
2 2008346
3 2016158
4 2018149
5 2020145
6 2018136
7 2020116
8 2005105
9 202189
10 201983
11 202383
12 201879
13 201870
14 200969
15 201968
16 200367
17 202265
18 202263
19 200463
20 202061

About Sean Eddy

Sean Eddy is a scholar working on Nephrology, Molecular Biology, Physiology, Pulmonary and Respiratory Medicine and Cancer Research, having authored 66 papers that have together received 3.3k indexed citations. Recurring topics across this work include Renal Diseases and Glomerulopathies (21 papers), Chronic Kidney Disease and Diabetes (18 papers), Renal and related cancers (10 papers), Adipose Tissue and Metabolism (7 papers), Single-cell and spatial transcriptomics (6 papers), Vasculitis and related conditions (4 papers), Adipokines, Inflammation, and Metabolic Diseases (4 papers) and NF-κB Signaling Pathways (3 papers). The work is most often cited by research in Nephrology (806 citations), Cancer Research (372 citations), Molecular Biology (1.3k citations), Immunology (354 citations) and Transplantation (37 citations). Sean Eddy has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Kenneth B. Storey, Gail E. Sonenshein, Matthias Kretzler, Chengyin Min, David H. Sherr, Laura H. Mariani, Pier Morin, Peter C. Grayson, Peter A. Merkel and Jaclyn Taroni. Their work appears in journals such as Kidney International, Journal of the American Society of Nephrology, Pediatric Nephrology, American Journal of Kidney Diseases and JCI Insight.

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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