Nicholas W. Baetz

1.5k total citations
18 papers, 754 citations indexed

About

Nicholas W. Baetz is a scholar working on Molecular Biology, Cell Biology and Physiology. According to data from OpenAlex, Nicholas W. Baetz has authored 18 papers receiving a total of 754 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Cell Biology and 6 papers in Physiology. Recurrent topics in Nicholas W. Baetz's work include Cellular transport and secretion (5 papers), Erythrocyte Function and Pathophysiology (4 papers) and Wound Healing and Treatments (4 papers). Nicholas W. Baetz is often cited by papers focused on Cellular transport and secretion (5 papers), Erythrocyte Function and Pathophysiology (4 papers) and Wound Healing and Treatments (4 papers). Nicholas W. Baetz collaborates with scholars based in United States and Australia. Nicholas W. Baetz's co-authors include Nicholas C. Zachos, Olga Kovbasnjuk, Marcela F. Pasetti, G. Noël, Janet F. Staab, Mark Donowitz, James R. Goldenring, W. Daniel Stamer, Andrea J. Yool and Lynne A. Lapierre and has published in prestigious journals such as Gastroenterology, Scientific Reports and Molecular Biology of the Cell.

In The Last Decade

Nicholas W. Baetz

16 papers receiving 750 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nicholas W. Baetz United States 12 331 162 160 142 131 18 754
Amanda T. Mah United States 11 545 1.6× 155 1.0× 312 1.9× 52 0.4× 182 1.4× 15 1.0k
Jens Puschhof Netherlands 14 451 1.4× 273 1.7× 345 2.2× 44 0.3× 148 1.1× 24 1.0k
Adam D. Werts United States 15 305 0.9× 87 0.5× 69 0.4× 281 2.0× 91 0.7× 20 908
M. Leslie Fulcher United States 10 345 1.0× 85 0.5× 55 0.3× 72 0.5× 67 0.5× 10 1.3k
Matthew DiSalvo United States 10 387 1.2× 553 3.4× 377 2.4× 86 0.6× 110 0.8× 18 981
Judith A. Cole United States 18 338 1.0× 117 0.7× 86 0.5× 39 0.3× 57 0.4× 39 794
Diego Guerrera Switzerland 11 279 0.8× 79 0.5× 74 0.5× 138 1.0× 54 0.4× 12 532
Pierre‐Henri Commère France 16 817 2.5× 55 0.3× 122 0.8× 75 0.5× 132 1.0× 30 1.3k
Arun Subramaniam United States 14 467 1.4× 69 0.4× 78 0.5× 103 0.7× 60 0.5× 27 1.0k
Kim E. Boonekamp Netherlands 10 244 0.7× 132 0.8× 164 1.0× 46 0.3× 52 0.4× 12 589

Countries citing papers authored by Nicholas W. Baetz

Since Specialization
Citations

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

Fields of papers citing papers by Nicholas W. Baetz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicholas W. Baetz

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

All Works

18 of 18 papers shown
1.
Ifediba, Marytheresa A., et al.. (2024). Characterization of heterogeneous skin constructs for full thickness skin regeneration in murine wound models. Tissue and Cell. 88. 102403–102403.
2.
Zachos, Nicholas C., Hannah J. Vaughan, Ruxian Lin, et al.. (2023). A Novel Peptide Prevents Enterotoxin- and Inflammation-Induced Intestinal Fluid Secretion by Stimulating Sodium-Hydrogen Exchanger 3 Activity. Gastroenterology. 165(4). 986–998.e11. 2 indexed citations
3.
Maeda, Keiko, Nicholas C. Zachos, Megan H. Orzalli, et al.. (2022). Depletion of the apical endosome in response to viruses and bacterial toxins provides cell-autonomous host defense at mucosal surfaces. Cell Host & Microbe. 30(2). 216–231.e5. 8 indexed citations
4.
Baetz, Nicholas W., Marytheresa A. Ifediba, Eric Chan, et al.. (2020). Cortical and Cancellous Bone Regeneration in Cranioplasty and Spinal Arthrodesis Models Using Autologous Homologous Bone Construct (AHBC). 2020(2). 1–22.
5.
Hasan, Nesrin M., Jianyi Yin, Nicholas W. Baetz, et al.. (2020). Intestinal stem cell-derived enteroids from morbidly obese patients preserve obesity-related phenotypes: Elevated glucose absorption and gluconeogenesis. Molecular Metabolism. 44. 101129–101129. 23 indexed citations
6.
7.
Mundinger, Gerhard S., David G. Armstrong, David J. Smith, et al.. (2020). Autologous Homologous Skin Constructs Allow Safe Closure of Wounds: A Retrospective, Noncontrolled, Multicentered Case Series. Plastic & Reconstructive Surgery Global Open. 8(5). e2840–e2840. 11 indexed citations
8.
9.
Noël, G., Nicholas W. Baetz, Janet F. Staab, et al.. (2017). A primary human macrophage-enteroid co-culture model to investigate mucosal gut physiology and host-pathogen interactions. Scientific Reports. 7(1). 45270–45270. 323 indexed citations
10.
Baetz, Nicholas W., G. Noël, Janet F. Staab, et al.. (2017). A Primary Human Macrophage-Enteroid Co-Culture Model to Investigate Mucosal Gut Physiology and Host-Pathogen Interactions. Gastroenterology. 152(5). S56–S57. 117 indexed citations
11.
Baetz, Nicholas W., Akshita Gupta, Olga Kovbasnjuk, et al.. (2016). 541 Rotavirus Infection in Patients Is Associated With Altered Trafficking of Apical Membrane Transport Proteins. Gastroenterology. 150(4). S113–S114. 2 indexed citations
12.
Day, Charles, Nicholas W. Baetz, Lewis J. Kraft, et al.. (2015). Microtubule Motors Power Plasma Membrane Tubulation in Clathrin‐Independent Endocytosis. Traffic. 16(6). 572–590. 44 indexed citations
13.
Baetz, Nicholas W. & James R. Goldenring. (2014). Distinct patterns of phosphatidylserine localization within the Rab11a-containing recycling system. PubMed. 4(2). e28680–e28680. 13 indexed citations
14.
Baetz, Nicholas W. & James R. Goldenring. (2013). Rab11-family interacting proteins define spatially and temporally distinct regions within the dynamic Rab11a-dependent recycling system. Molecular Biology of the Cell. 24(5). 643–658. 61 indexed citations
15.
Schäfer, Jenny, et al.. (2013). Rab11‐FIP2 Interaction with MYO5B Regulates Movement of Rab11a‐Containing Recycling Vesicles. Traffic. 15(3). 292–308. 53 indexed citations
16.
Baetz, Nicholas W., W. Daniel Stamer, & Andrea J. Yool. (2012). Stimulation of Aquaporin-Mediated Fluid Transport by Cyclic GMP in Human Retinal Pigment Epithelium In Vitro. Investigative Ophthalmology & Visual Science. 53(4). 2127–2127. 11 indexed citations
17.
Baetz, Nicholas W., Emely A. Hoffman, Andrea J. Yool, & W. Daniel Stamer. (2009). Role of aquaporin-1 in trabecular meshwork cell homeostasis during mechanical strain. Experimental Eye Research. 89(1). 95–100. 34 indexed citations
18.
Baetz, Nicholas W., et al.. (2002). Cp*Ru+ complexes of benzylideneaniline and salicylideneaniline. Inorganica Chimica Acta. 328(1). 210–217. 6 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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