Jacalyn MacGowan

409 total citations
9 papers, 307 citations indexed

About

Jacalyn MacGowan is a scholar working on Obstetrics and Gynecology, Surgery and Molecular Biology. According to data from OpenAlex, Jacalyn MacGowan has authored 9 papers receiving a total of 307 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Obstetrics and Gynecology, 2 papers in Surgery and 2 papers in Molecular Biology. Recurrent topics in Jacalyn MacGowan's work include Gestational Diabetes Research and Management (3 papers), Pregnancy and preeclampsia studies (2 papers) and Ubiquitin and proteasome pathways (2 papers). Jacalyn MacGowan is often cited by papers focused on Gestational Diabetes Research and Management (3 papers), Pregnancy and preeclampsia studies (2 papers) and Ubiquitin and proteasome pathways (2 papers). Jacalyn MacGowan collaborates with scholars based in United States and United Kingdom. Jacalyn MacGowan's co-authors include Matthew R. Young, Nancy H. Colburn, G. Tim Bowden, Claudia Krüger, Claudia Kappen, J. Michael Salbaum, James Ranger‐Moore, Simon Cooper, Eric J. Thompson and Zhong Q. Wang and has published in prestigious journals such as PLoS ONE, Scientific Reports and Metabolism.

In The Last Decade

Jacalyn MacGowan

9 papers receiving 300 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jacalyn MacGowan United States 8 138 61 47 45 45 9 307
Tomozumi Takatani Japan 13 238 1.7× 95 1.6× 60 1.3× 47 1.0× 10 0.2× 48 525
Xiaohong Xue China 10 140 1.0× 67 1.1× 29 0.6× 23 0.5× 60 1.3× 24 350
Linda Lewis United States 7 124 0.9× 124 2.0× 39 0.8× 13 0.3× 8 0.2× 8 415
Xiaomin Pan United States 10 164 1.2× 22 0.4× 46 1.0× 28 0.6× 20 0.4× 16 574
Bomee Chung Germany 12 95 0.7× 24 0.4× 18 0.4× 26 0.6× 16 0.4× 14 585
Kreg Grindle United States 10 138 1.0× 96 1.6× 105 2.2× 9 0.2× 104 2.3× 11 423
Cara Nelson United States 8 117 0.8× 48 0.8× 29 0.6× 59 1.3× 3 0.1× 32 314
Brian Durham United Kingdom 10 102 0.7× 81 1.3× 17 0.4× 30 0.7× 3 0.1× 11 359
Patrizia Pattini Italy 11 337 2.4× 43 0.7× 82 1.7× 57 1.3× 20 0.4× 24 523
Flor Á. Ordóñez Spain 12 166 1.2× 47 0.8× 42 0.9× 44 1.0× 5 0.1× 16 383

Countries citing papers authored by Jacalyn MacGowan

Since Specialization
Citations

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

Fields of papers citing papers by Jacalyn MacGowan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jacalyn MacGowan

This figure shows the co-authorship network connecting the top 25 collaborators of Jacalyn MacGowan. A scholar is included among the top collaborators of Jacalyn MacGowan 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 Jacalyn MacGowan. Jacalyn MacGowan 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.
Salbaum, J. Michael, et al.. (2015). Novel Mode of Defective Neural Tube Closure in the Non-Obese Diabetic (NOD) Mouse Strain. Scientific Reports. 5(1). 16917–16917. 14 indexed citations
2.
Kappen, Claudia, Claudia Krüger, Jacalyn MacGowan, & J. Michael Salbaum. (2012). Maternal Diet Modulates Placenta Growth and Gene Expression in a Mouse Model of Diabetic Pregnancy. PLoS ONE. 7(6). e38445–e38445. 25 indexed citations
3.
Kappen, Claudia, Claudia Krüger, Jacalyn MacGowan, & J. Michael Salbaum. (2010). Maternal diet modulates the risk for neural tube defects in a mouse model of diabetic pregnancy. Reproductive Toxicology. 31(1). 41–49. 26 indexed citations
4.
MacGowan, Jacalyn, et al.. (2008). Thrombocytopenia and spontaneous rupture of the spleen associated with infectious mononucleosis. Clinical & Laboratory Haematology. 17(1). 93–94. 2 indexed citations
5.
Wang, Zhong Q., Aamir Zuberi, Xian H. Zhang, et al.. (2007). Effects of dietary fibers on weight gain, carbohydrate metabolism, and gastric ghrelin gene expression in mice fed a high-fat diet. Metabolism. 56(12). 1635–1642. 58 indexed citations
6.
Cooper, Simon, Jacalyn MacGowan, James Ranger‐Moore, et al.. (2003). Expression of dominant negative c-jun inhibits ultraviolet B-induced squamous cell carcinoma number and size in an SKH-1 hairless mouse model.. PubMed. 1(11). 848–54. 85 indexed citations
7.
MacGowan, Jacalyn. (2002). Retrospective analysis of outcome in a cohort of patients with lupus nephritis treated between 1977 and 1999. British journal of rheumatology. 41(9). 981–987. 35 indexed citations
8.
Thompson, Eric J., Jacalyn MacGowan, Matthew R. Young, Nancy H. Colburn, & G. Tim Bowden. (2002). A dominant negative c-jun specifically blocks okadaic acid-induced skin tumor promotion.. PubMed. 62(11). 3044–7. 46 indexed citations
9.
MacGowan, Jacalyn, J. Pringle, V. Morris, & T. C. B. Stamp. (2000). Gross vertebral collapse associated with long-term disodium etidronate treatment for pelvic Paget's disease. Skeletal Radiology. 29(5). 279–282. 16 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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