Andrew C. Hedman

1.3k total citations
24 papers, 948 citations indexed

About

Andrew C. Hedman is a scholar working on Molecular Biology, Cell Biology and Physiology. According to data from OpenAlex, Andrew C. Hedman has authored 24 papers receiving a total of 948 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 16 papers in Cell Biology and 4 papers in Physiology. Recurrent topics in Andrew C. Hedman's work include Cellular transport and secretion (13 papers), Protein Kinase Regulation and GTPase Signaling (11 papers) and Erythrocyte Function and Pathophysiology (4 papers). Andrew C. Hedman is often cited by papers focused on Cellular transport and secretion (13 papers), Protein Kinase Regulation and GTPase Signaling (11 papers) and Erythrocyte Function and Pathophysiology (4 papers). Andrew C. Hedman collaborates with scholars based in United States and Israel. Andrew C. Hedman's co-authors include David B. Sacks, Jessica M. Smith, Richard A. Anderson, Narendra Thapa, Suyong Choi, Xiaojun Tan, Samar Sayedyahossein, Yue Sun, Yue Sun and Zhigang Li and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Cell Biology and The EMBO Journal.

In The Last Decade

Andrew C. Hedman

24 papers receiving 948 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrew C. Hedman United States 16 670 438 130 87 84 24 948
Damien Ramel France 18 479 0.7× 463 1.1× 83 0.6× 122 1.4× 67 0.8× 24 871
Michael R. Dores United States 17 607 0.9× 297 0.7× 63 0.5× 118 1.4× 61 0.7× 26 987
Emma Sandilands United Kingdom 16 758 1.1× 538 1.2× 124 1.0× 88 1.0× 52 0.6× 26 1.1k
May M. Paing United States 15 858 1.3× 401 0.9× 94 0.7× 244 2.8× 87 1.0× 18 1.4k
Senye Takahashi Japan 18 802 1.2× 455 1.0× 148 1.1× 92 1.1× 100 1.2× 25 1.2k
Vigdis Sørensen Norway 18 741 1.1× 294 0.7× 67 0.5× 107 1.2× 40 0.5× 28 991
Irmgard Hofmann Switzerland 7 509 0.8× 264 0.6× 228 1.8× 59 0.7× 62 0.7× 8 745
Mary Shen United States 10 578 0.9× 253 0.6× 103 0.8× 187 2.1× 60 0.7× 12 829
Francesca Senic-Matuglia Italy 7 591 0.9× 344 0.8× 159 1.2× 31 0.4× 88 1.0× 9 767
Eva Loh Singapore 17 395 0.6× 343 0.8× 56 0.4× 157 1.8× 136 1.6× 24 795

Countries citing papers authored by Andrew C. Hedman

Since Specialization
Citations

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

Fields of papers citing papers by Andrew C. Hedman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrew C. Hedman. 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 Andrew C. Hedman. The network helps show where Andrew C. Hedman may publish in the future.

Co-authorship network of co-authors of Andrew C. Hedman

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew C. Hedman. A scholar is included among the top collaborators of Andrew C. Hedman 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 Andrew C. Hedman. Andrew C. Hedman 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.
2.
Hedman, Andrew C., et al.. (2022). A novel S1S3 phosphotransferase co-expression gene therapy platform for lysosomal disorders. Molecular Genetics and Metabolism. 135(2). S55–S55. 1 indexed citations
3.
Gorisse, Laëtitia, Zhigang Li, Craig D. Wagner, et al.. (2020). Ubiquitination of the scaffold protein IQGAP1 diminishes its interaction with and activation of the Rho GTPase CDC42. Journal of Biological Chemistry. 295(15). 4822–4835. 16 indexed citations
4.
Hedman, Andrew C., et al.. (2020). IQGAP1 binds AMPK and is required for maximum AMPK activation. Journal of Biological Chemistry. 296. 100075–100075. 16 indexed citations
5.
Hedman, Andrew C., Dean E. McNulty, Zhigang Li, et al.. (2020). Tyrosine phosphorylation of the scaffold protein IQGAP1 in the MET pathway alters function. Journal of Biological Chemistry. 295(52). 18105–18121. 4 indexed citations
6.
Hedman, Andrew C., et al.. (2019). Endogenous IQGAP1 and IQGAP3 do not functionally interact with Ras. Scientific Reports. 9(1). 11057–11057. 12 indexed citations
7.
Sayedyahossein, Samar, Andrew C. Hedman, & David B. Sacks. (2019). Insulin suppresses transcriptional activity of yes-associated protein in insulin target cells. Molecular Biology of the Cell. 31(2). 131–141. 4 indexed citations
8.
Zhang, Mingzhen, Zhigang Li, Hyunbum Jang, et al.. (2019). Ca2+-Dependent Switch of Calmodulin Interaction Mode with Tandem IQ Motifs in the Scaffolding Protein IQGAP1. Biochemistry. 58(49). 4903–4911. 12 indexed citations
9.
Li, Zhigang, Yonghong Zhang, Andrew C. Hedman, James B. Ames, & David B. Sacks. (2017). Calmodulin Lobes Facilitate Dimerization and Activation of Estrogen Receptor-α. Journal of Biological Chemistry. 292(11). 4614–4622. 18 indexed citations
10.
Chawla, Bhavna, et al.. (2017). Absence of IQGAP1 Protein Leads to Insulin Resistance. Journal of Biological Chemistry. 292(8). 3273–3289. 18 indexed citations
11.
Choi, Suyong, Andrew C. Hedman, Samar Sayedyahossein, et al.. (2016). Agonist-stimulated phosphatidylinositol-3,4,5-trisphosphate generation by scaffolded phosphoinositide kinases. Nature Cell Biology. 18(12). 1324–1335. 97 indexed citations
12.
Tan, Xiaojun, Yue Sun, Narendra Thapa, et al.. (2015). LAPTM4B is a PtdIns(4,5)P 2 effector that regulates EGFR signaling, lysosomal sorting, and degradation. The EMBO Journal. 34(4). 475–490. 70 indexed citations
13.
Choi, Suyong, Narendra Thapa, Xiaojun Tan, Andrew C. Hedman, & Richard A. Anderson. (2015). PIP kinases define PI4,5P2 signaling specificity by association with effectors. Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids. 1851(6). 711–723. 59 indexed citations
14.
Smith, Jessica M., Andrew C. Hedman, & David B. Sacks. (2015). IQGAPs choreograph cellular signaling from the membrane to the nucleus. Trends in Cell Biology. 25(3). 171–184. 119 indexed citations
15.
Hedman, Andrew C., Jessica M. Smith, & David B. Sacks. (2015). The biology of IQGAP proteins: beyond the cytoskeleton. EMBO Reports. 16(4). 427–446. 178 indexed citations
16.
Hedman, Andrew C., et al.. (2014). PIPKIγi5 regulates the endosomal trafficking and degradation of E-cadherin. Journal of Cell Science. 127(Pt 10). 2189–203. 24 indexed citations
17.
Sun, Yue, Narendra Thapa, Andrew C. Hedman, & Richard A. Anderson. (2013). Phosphatidylinositol 4,5‐bisphosphate: Targeted production and signaling. BioEssays. 35(6). 513–522. 82 indexed citations
18.
Choi, Suyong, Narendra Thapa, Andrew C. Hedman, et al.. (2013). IQGAP1 is a novel phosphatidylinositol 4,5 bisphosphate effector in regulation of directional cell migration. The EMBO Journal. 32(19). 2617–2630. 53 indexed citations
19.
Thapa, Narendra, Suyong Choi, Andrew C. Hedman, Xiaojun Tan, & Richard A. Anderson. (2013). Phosphatidylinositol Phosphate 5-Kinase Iγi2 in Association with Src Controls Anchorage-independent Growth of Tumor Cells. Journal of Biological Chemistry. 288(48). 34707–34718. 12 indexed citations
20.
Hedman, Andrew C., et al.. (2012). PIP Kinases from the Cell Membrane to the Nucleus. Sub-cellular biochemistry. 58. 25–59. 20 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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