Aaron P. Putzke

942 total citations
13 papers, 780 citations indexed

About

Aaron P. Putzke is a scholar working on Molecular Biology, Aging and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Aaron P. Putzke has authored 13 papers receiving a total of 780 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Aging and 4 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Aaron P. Putzke's work include Genetics, Aging, and Longevity in Model Organisms (6 papers), Reproductive Biology and Fertility (4 papers) and Pluripotent Stem Cells Research (3 papers). Aaron P. Putzke is often cited by papers focused on Genetics, Aging, and Longevity in Model Organisms (6 papers), Reproductive Biology and Fertility (4 papers) and Pluripotent Stem Cells Research (3 papers). Aaron P. Putzke collaborates with scholars based in United States and South Africa. Aaron P. Putzke's co-authors include Joel H. Rothman, W. Brent Derry, Cecilia B. Moens, Rafael E. Hernandez, Jonathan P. Myers, Alexander M. Bailey, Peter S. Nelson, Eva Corey, Müge Çeliktaş and Holly M. Nguyen and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Development.

In The Last Decade

Aaron P. Putzke

11 papers receiving 766 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aaron P. Putzke United States 7 550 236 174 118 82 13 780
Nick Dyson United States 8 876 1.6× 139 0.6× 268 1.5× 104 0.9× 126 1.5× 8 1.0k
Chihunt Wong United States 9 666 1.2× 199 0.8× 134 0.8× 91 0.8× 194 2.4× 16 1.0k
Tae Ho Shin United States 13 1.2k 2.1× 323 1.4× 122 0.7× 340 2.9× 97 1.2× 13 1.4k
Anwaar Ahmad United States 9 811 1.5× 136 0.6× 154 0.9× 43 0.4× 111 1.4× 13 1.1k
Verónica Miguela United States 5 320 0.6× 74 0.3× 135 0.8× 91 0.8× 59 0.7× 7 758
Sarit Smolikov United States 10 1.5k 2.7× 319 1.4× 69 0.4× 175 1.5× 111 1.4× 12 1.6k
Alyson W. MacInnes Netherlands 18 970 1.8× 180 0.8× 137 0.8× 101 0.9× 93 1.1× 31 1.2k
Gregoriy A. Dokshin United States 9 532 1.0× 187 0.8× 32 0.2× 54 0.5× 137 1.7× 10 726
Mary J. Stewart United States 9 973 1.8× 68 0.3× 155 0.9× 172 1.5× 75 0.9× 10 1.2k

Countries citing papers authored by Aaron P. Putzke

Since Specialization
Citations

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

Fields of papers citing papers by Aaron P. Putzke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aaron P. Putzke

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

All Works

13 of 13 papers shown
1.
Putzke, Aaron P., et al.. (2024). A Community of Practice for CURE Development: The MIRIC (Mentoring the Integration of Research into the Classroom) Network. Journal of College Science Teaching. 53(5). 454–461. 1 indexed citations
2.
Putzke, Aaron P., et al.. (2024). A 3D printed microfluidic particle sorting device. 11955. 21–21.
3.
Putzke, Aaron P., et al.. (2023). A 3D printed microfluidic PCR device towards detecting SARS-CoV-2. 117. 22–22.
4.
Putzke, Aaron P., et al.. (2022). A biocompatible 3D printed microfluidic C. elegans analysis device. 239. 19–19. 1 indexed citations
6.
7.
Putzke, Aaron P., Aviva P. Ventura, Alexander M. Bailey, et al.. (2011). Metastatic Progression of Prostate Cancer and E-Cadherin. American Journal Of Pathology. 179(1). 400–410. 116 indexed citations
8.
Putzke, Aaron P. & Joel H. Rothman. (2010). Repression of Wnt signaling by a Fer-type nonreceptor tyrosine kinase. Proceedings of the National Academy of Sciences. 107(37). 16154–16159. 19 indexed citations
9.
Hernandez, Rafael E., et al.. (2006). Cyp26 enzymes generate the retinoic acid response pattern necessary for hindbrain development. Development. 134(1). 177–187. 179 indexed citations
10.
Putzke, Aaron P., Sherry T. Hikita, Dennis Clegg, & Joel H. Rothman. (2005). Essential kinase-independent role of a Fer-like non-receptor tyrosine kinase inCaenorhabditis elegansmorphogenesis. Development. 132(14). 3185–3195. 22 indexed citations
11.
Putzke, Aaron P. & Joel H. Rothman. (2003). Gastrulation: PARtaking of the Bottle. Current Biology. 13(6). R223–R225. 6 indexed citations
12.
Derry, W. Brent, Aaron P. Putzke, & Joel H. Rothman. (2001). Caenorhabditis elegans p53: Role in Apoptosis, Meiosis, and Stress Resistance. Science. 294(5542). 591–595. 403 indexed citations
13.
Polaczek, Piotr, et al.. (1998). Functional genetic tests of DNA mismatch repair protein activity in Saccharomyces cerevisiae. Gene. 213(1-2). 159–167. 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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