Nan W. Hultgren

854 total citations
8 papers, 176 citations indexed

About

Nan W. Hultgren is a scholar working on Molecular Biology, Oncology and Biophysics. According to data from OpenAlex, Nan W. Hultgren has authored 8 papers receiving a total of 176 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 2 papers in Oncology and 2 papers in Biophysics. Recurrent topics in Nan W. Hultgren's work include Cancer Cells and Metastasis (2 papers), Mitochondrial Function and Pathology (2 papers) and Congenital heart defects research (2 papers). Nan W. Hultgren is often cited by papers focused on Cancer Cells and Metastasis (2 papers), Mitochondrial Function and Pathology (2 papers) and Congenital heart defects research (2 papers). Nan W. Hultgren collaborates with scholars based in United States. Nan W. Hultgren's co-authors include Christopher C.W. Hughes, Jennifer S. Fang, David S. Williams, Orian S. Shirihai, Alexander M. van der Bliek, Ricardo N. Ramírez, Duc T. T. Phan, Marc Liesa, Dane M. Wolf and Mayuko Segawa and has published in prestigious journals such as Nature Communications, Vision Research and Frontiers in Cell and Developmental Biology.

In The Last Decade

Nan W. Hultgren

7 papers receiving 176 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nan W. Hultgren United States 6 119 33 25 24 16 8 176
Lynette S. Penney Canada 7 143 1.2× 22 0.7× 45 1.8× 31 1.3× 13 0.8× 13 273
Robin Steinhaus Germany 7 142 1.2× 33 1.0× 20 0.8× 9 0.4× 15 0.9× 11 249
Laura Aimati Italy 7 139 1.2× 52 1.6× 13 0.5× 22 0.9× 18 1.1× 9 210
Adam C. Gunning United Kingdom 7 179 1.5× 36 1.1× 14 0.6× 15 0.6× 16 1.0× 12 291
Mafei Xu China 8 177 1.5× 61 1.8× 29 1.2× 30 1.3× 13 0.8× 12 241
Atsuko Matsunaga Japan 9 117 1.0× 23 0.7× 11 0.4× 15 0.6× 13 0.8× 21 192
Yaser Heshmati Sweden 9 103 0.9× 17 0.5× 11 0.4× 14 0.6× 20 1.3× 15 201
Quanbin Zhang China 9 165 1.4× 54 1.6× 18 0.7× 33 1.4× 20 1.3× 16 268
Wenyi Tang China 10 126 1.1× 36 1.1× 37 1.5× 15 0.6× 4 0.3× 29 297
Bishwanath Pal United Kingdom 12 133 1.1× 36 1.1× 10 0.4× 7 0.3× 26 1.6× 27 387

Countries citing papers authored by Nan W. Hultgren

Since Specialization
Citations

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

Fields of papers citing papers by Nan W. Hultgren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nan W. Hultgren. 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 Nan W. Hultgren. The network helps show where Nan W. Hultgren may publish in the future.

Co-authorship network of co-authors of Nan W. Hultgren

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

All Works

8 of 8 papers shown
1.
Hultgren, Nan W., et al.. (2024). Machine learning-based 3D segmentation of mitochondria in polarized epithelial cells. Mitochondrion. 76. 101882–101882. 1 indexed citations
2.
Hultgren, Nan W., Anton Petcherski, Barry L. Burgess, et al.. (2024). Productive infection of the retinal pigment epithelium by SARS-CoV-2: Initial effects and consideration of long-term consequences. PNAS Nexus. 3(12). pgae500–pgae500.
3.
Hultgren, Nan W., Abhishek Chadha, Joyce Zhang, et al.. (2023). Expression of two major isoforms of MYO7A in the retina: Considerations for gene therapy of Usher syndrome type 1B. Vision Research. 212. 108311–108311. 6 indexed citations
4.
Fang, Jennifer S., Nan W. Hultgren, & Christopher C.W. Hughes. (2021). Regulation of Partial and Reversible Endothelial-to-Mesenchymal Transition in Angiogenesis. Frontiers in Cell and Developmental Biology. 9. 702021–702021. 39 indexed citations
5.
Kelesidis, Theodoros, Anton Petcherski, Ellen O’Connor, et al.. (2021). The ApoA-I mimetic peptide 4F attenuates in vitro replication of SARS-CoV-2, associated apoptosis, oxidative stress and inflammation in epithelial cells. Virulence. 12(1). 2214–2227. 12 indexed citations
6.
Hultgren, Nan W., Jennifer S. Fang, Mary E. Ziegler, et al.. (2020). Slug regulates the Dll4-Notch-VEGFR2 axis to control endothelial cell activation and angiogenesis. Nature Communications. 11(1). 5400–5400. 71 indexed citations
7.
Segawa, Mayuko, Dane M. Wolf, Nan W. Hultgren, et al.. (2020). Quantification of cristae architecture reveals time-dependent characteristics of individual mitochondria. Life Science Alliance. 3(7). e201900620–e201900620. 37 indexed citations
8.
Craver, Brianna M., Munjal M. Acharya, Barrett D. Allen, et al.. (2016). 3D surface analysis of hippocampal microvasculature in the irradiated brain. Environmental and Molecular Mutagenesis. 57(5). 341–349. 10 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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