Katherine I. Swenson-Fields

787 total citations
9 papers, 582 citations indexed

About

Katherine I. Swenson-Fields is a scholar working on Molecular Biology, Genetics and Pathology and Forensic Medicine. According to data from OpenAlex, Katherine I. Swenson-Fields has authored 9 papers receiving a total of 582 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Genetics and 3 papers in Pathology and Forensic Medicine. Recurrent topics in Katherine I. Swenson-Fields's work include Genetic and Kidney Cyst Diseases (6 papers), Renal and related cancers (3 papers) and Biomedical Research and Pathophysiology (3 papers). Katherine I. Swenson-Fields is often cited by papers focused on Genetic and Kidney Cyst Diseases (6 papers), Renal and related cancers (3 papers) and Biomedical Research and Pathophysiology (3 papers). Katherine I. Swenson-Fields collaborates with scholars based in United States, Netherlands and China. Katherine I. Swenson-Fields's co-authors include Jared J. Grantham, Darren P. Wallace, Timothy A. Fields, Nico van Rooijen, Carolyn J. Vivian, Xia Zhou, Ying Yao, Alan S.L. Yu, Xiaogang Li and Li Chen and has published in prestigious journals such as Journal of Clinical Investigation, Molecular Cell and Kidney International.

In The Last Decade

Katherine I. Swenson-Fields

9 papers receiving 580 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Katherine I. Swenson-Fields United States 8 409 355 123 98 74 9 582
Thomas A. Natoli United States 17 351 0.9× 643 1.8× 111 0.9× 63 0.6× 77 1.0× 21 779
Jitka Štekrová Czechia 14 230 0.6× 287 0.8× 126 1.0× 147 1.5× 40 0.5× 47 504
L Chadwick United States 7 205 0.5× 247 0.7× 61 0.5× 38 0.4× 46 0.6× 9 362
Daniel Trujillano Spain 14 265 0.6× 397 1.1× 41 0.3× 88 0.9× 34 0.5× 15 609
Naoya Morisada Japan 15 205 0.5× 367 1.0× 36 0.3× 89 0.9× 59 0.8× 46 585
Patricia Cobo-Stark United States 11 445 1.1× 647 1.8× 85 0.7× 39 0.4× 50 0.7× 15 837
Akie Nakamura Japan 19 532 1.3× 524 1.5× 34 0.3× 109 1.1× 197 2.7× 77 952
Janine Wagenstaller Germany 7 419 1.0× 283 0.8× 87 0.7× 502 5.1× 46 0.6× 9 842
Yoshimi Nozu Japan 14 146 0.4× 412 1.2× 42 0.3× 156 1.6× 28 0.4× 21 600
Irini Tossidou Germany 16 113 0.3× 270 0.8× 45 0.4× 374 3.8× 24 0.3× 18 620

Countries citing papers authored by Katherine I. Swenson-Fields

Since Specialization
Citations

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

Fields of papers citing papers by Katherine I. Swenson-Fields

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Katherine I. Swenson-Fields. 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 Katherine I. Swenson-Fields. The network helps show where Katherine I. Swenson-Fields may publish in the future.

Co-authorship network of co-authors of Katherine I. Swenson-Fields

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

All Works

9 of 9 papers shown
1.
Jacobs, Damon T., Ruochen Dong, Katherine I. Swenson-Fields, et al.. (2022). Ttc21b deficiency attenuates autosomal dominant polycystic kidney disease in a kidney tubular- and maturation-dependent manner. Kidney International. 102(3). 577–591. 10 indexed citations
2.
Swenson-Fields, Katherine I., Christopher J. Ward, Malay Kumar Basu, et al.. (2022). Caspase-1 and the inflammasome promote polycystic kidney disease progression. Frontiers in Molecular Biosciences. 9. 971219–971219. 7 indexed citations
3.
Rao, Reena, Darren P. Wallace, Xiaogang Li, et al.. (2019). MCP-1 promotes detrimental cardiac physiology, pulmonary edema, and death in thecpkmodel of polycystic kidney disease. American Journal of Physiology-Renal Physiology. 317(2). F343–F360. 22 indexed citations
4.
Wallace, Darren P., et al.. (2016). Autocrine IL-10 activation of the STAT3 pathway is required for pathological macrophage differentiation in polycystic kidney disease. Disease Models & Mechanisms. 9(9). 1051–1061. 17 indexed citations
5.
Chen, Li, Xia Zhou, Lucy X. Fan, et al.. (2015). Macrophage migration inhibitory factor promotes cyst growth in polycystic kidney disease. Journal of Clinical Investigation. 125(6). 2399–2412. 108 indexed citations
6.
Swenson-Fields, Katherine I., et al.. (2013). Macrophages promote polycystic kidney disease progression. Kidney International. 83(5). 855–864. 137 indexed citations
7.
Grantham, Jared J., et al.. (2011). Why kidneys fail in autosomal dominant polycystic kidney disease. Nature Reviews Nephrology. 7(10). 556–566. 199 indexed citations
8.
Swenson-Fields, Katherine I., Patrick Kelly, Patrick E. Fields, et al.. (2009). Rho GTPase activity modulates Wnt3a/β-catenin signaling. Cellular Signalling. 21(11). 1559–1568. 41 indexed citations
9.
Swenson-Fields, Katherine I., Joshua C. Sandquist, Irene C. Blat, et al.. (2008). MLK3 Limits Activated Gαq Signaling to Rho by Binding to p63RhoGEF. Molecular Cell. 32(1). 43–56. 41 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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