John P. Sundberg

25.8k total citations · 3 hit papers
422 papers, 18.4k citations indexed

About

John P. Sundberg is a scholar working on Molecular Biology, Urology and Cell Biology. According to data from OpenAlex, John P. Sundberg has authored 422 papers receiving a total of 18.4k indexed citations (citations by other indexed papers that have themselves been cited), including 178 papers in Molecular Biology, 114 papers in Urology and 113 papers in Cell Biology. Recurrent topics in John P. Sundberg's work include Hair Growth and Disorders (111 papers), Skin and Cellular Biology Research (74 papers) and Cervical Cancer and HPV Research (38 papers). John P. Sundberg is often cited by papers focused on Hair Growth and Disorders (111 papers), Skin and Cellular Biology Research (74 papers) and Cervical Cancer and HPV Research (38 papers). John P. Sundberg collaborates with scholars based in United States, United Kingdom and Germany. John P. Sundberg's co-authors include Lloyd E. King, Charles O. Elson, Kevin J. McElwee, Angela M. Christiano, Dawnalyn Boggess, Jerrold M. Ward, E H Birkenmeier, Thomas Gridley, Christine R. Norton and Ralf Paus and has published in prestigious journals such as Nature, New England Journal of Medicine and Proceedings of the National Academy of Sciences.

In The Last Decade

John P. Sundberg

420 papers receiving 17.9k citations

Hit Papers

Notch signaling is essential for vascular morphogenesis i... 2000 2026 2008 2017 2000 2011 2017 250 500 750

Peers

John P. Sundberg
Tung‐Tien Sun United States
Dennis R. Roop United States
Lloyd E. King United States
Jouni Uitto United States
Robert M. Lavker United States
Peter M. Steinert United States
Maksim V. Plikus United States
Tung‐Tien Sun United States
John P. Sundberg
Citations per year, relative to John P. Sundberg John P. Sundberg (= 1×) peers Tung‐Tien Sun

Countries citing papers authored by John P. Sundberg

Since Specialization
Citations

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

Fields of papers citing papers by John P. Sundberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John P. Sundberg. 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 John P. Sundberg. The network helps show where John P. Sundberg may publish in the future.

Co-authorship network of co-authors of John P. Sundberg

This figure shows the co-authorship network connecting the top 25 collaborators of John P. Sundberg. A scholar is included among the top collaborators of John P. Sundberg 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 John P. Sundberg. John P. Sundberg 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.
Sproule, Thomas J., Robert Y Wilpan, Benjamin E. Low, et al.. (2023). Functional analysis of Collagen 17a1: A genetic modifier of junctional epidermolysis bullosa in mice. PLoS ONE. 18(10). e0292456–e0292456. 3 indexed citations
2.
Voigt, Anita Y., et al.. (2023). Microbiome modulates immunotherapy response in cutaneous squamous cell carcinoma. Experimental Dermatology. 32(10). 1624–1632. 7 indexed citations
3.
Sproule, Thomas J., Robert Y Wilpan, John J. Wilson, et al.. (2023). Dystonin modifiers of junctional epidermolysis bullosa and models of epidermolysis bullosa simplex without dystonia musculorum. PLoS ONE. 18(10). e0293218–e0293218. 1 indexed citations
4.
Sproule, Thomas J., et al.. (2023). Seven naturally variant loci serve as genetic modifiers of Lamc2jeb induced non-Herlitz junctional Epidermolysis Bullosa in mice. PLoS ONE. 18(7). e0288263–e0288263. 3 indexed citations
5.
Begley, Dale A., Debra M. Krupke, John P. Sundberg, et al.. (2023). The Mouse Models of Human Cancer database (MMHCdb). Disease Models & Mechanisms. 16(4). 4 indexed citations
6.
Sundberg, John P., Hannah Galantino‐Homer, Heather Fairfield, et al.. (2022). Witch Nails (Krt90whnl): A spontaneous mouse mutation affecting nail growth and development. PLoS ONE. 17(11). e0277284–e0277284. 2 indexed citations
7.
Ang, Rosalind L., Diana Legarda, John P. Sundberg, et al.. (2021). Immune dysregulation in SHARPIN-deficient mice is dependent on CYLD-mediated cell death. Proceedings of the National Academy of Sciences. 118(50). 11 indexed citations
8.
Li, Qiaoli, Vivek M. Philip, Timothy M. Stearns, et al.. (2019). Quantitative Trait Locus and Integrative Genomics Revealed Candidate Modifier Genes for Ectopic Mineralization in Mouse Models of Pseudoxanthoma Elasticum. Journal of Investigative Dermatology. 139(12). 2447–2457.e7. 9 indexed citations
9.
Krupke, Debra M., Dale A. Begley, John P. Sundberg, et al.. (2017). The Mouse Tumor Biology Database: A Comprehensive Resource for Mouse Models of Human Cancer. Cancer Research. 77(21). e67–e70. 43 indexed citations
10.
Konger, Raymond L., et al.. (2016). Comparison of the acute ultraviolet photoresponse in congenic albino hairless C57BL/6J mice relative to outbred SKH1 hairless mice. The Mouseion at the JAXlibrary (Jackson Laboratory).
11.
Sproule, Thomas J., Jason A. Bubier, Fiorella C. Grandi, et al.. (2014). Molecular Identification of Collagen 17a1 as a Major Genetic Modifier of Laminin Gamma 2 Mutation-Induced Junctional Epidermolysis Bullosa in Mice. PLoS Genetics. 10(2). e1004068–e1004068. 22 indexed citations
12.
Sundberg, John P., Alexander Awgulewitsch, Christopher J. Potter, et al.. (2014). Crisp1 and alopecia areata in C3H/HeJ mice. Experimental and Molecular Pathology. 97(3). 525–528. 6 indexed citations
13.
Sundberg, John P., Timothy M. Stearns, Joongho Joh, et al.. (2014). Immune Status, Strain Background, and Anatomic Site of Inoculation Affect Mouse Papillomavirus (MmuPV1) Induction of Exophytic Papillomas or Endophytic Trichoblastomas. PLoS ONE. 9(12). e113582–e113582. 48 indexed citations
14.
Sundberg, John P. & Paul N. Schofield. (2009). A Mouse by Any Other Name …. Journal of Investigative Dermatology. 129(7). 1599–1601. 10 indexed citations
15.
Klement, John F., Yasushi Matsuzaki, Joseph Terlizzi, et al.. (2005). Targeted Ablation of the Abcc6 Gene Results in Ectopic Mineralization of Connective Tissues. Molecular and Cellular Biology. 25(18). 8299–8310. 153 indexed citations
16.
Braun, Kristin M., Catherin Niemann, Uffe Birk Jensen, et al.. (2003). Manipulation of stem cell proliferation and lineage commitment:visualisation of label-retaining cells in wholemounts of mouse epidermis. Development. 130(21). 5241–5255. 357 indexed citations
17.
Näf, Dieter, Debra M. Krupke, John P. Sundberg, Janan T. Eppig, & Carol J. Bult. (2002). The Mouse Tumor Biology Database: a public resource for cancer genetics and pathology of the mouse.. The Mouseion at the JAXlibrary (Jackson Laboratory). 62(5). 1235–40. 40 indexed citations
18.
Rice, Robert H., Viviana J. Wong, Kent E. Pinkerton, & John P. Sundberg. (1999). Cross-linked features of mouse pelage hair resistant to detergent extraction. The Anatomical Record. 254(2). 231–237. 11 indexed citations
19.
Sundberg, John P.. (1992). Conceptual evaluation of inbred laboratory mouse models as tools for the study of diseases in other species.. The Mouseion at the JAXlibrary (Jackson Laboratory). 2 indexed citations
20.
O’Banion, M. Kerry, Elliott R. Jacobson, & John P. Sundberg. (1992). Molecular Cloning and Partial Characterization of a Parrot Papillomavirus. Intervirology. 33(2). 91–96. 23 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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