Dennis Pultz

745 total citations
9 papers, 454 citations indexed

About

Dennis Pultz is a scholar working on Molecular Biology, Spectroscopy and Aging. According to data from OpenAlex, Dennis Pultz has authored 9 papers receiving a total of 454 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Spectroscopy and 3 papers in Aging. Recurrent topics in Dennis Pultz's work include Mitochondrial Function and Pathology (3 papers), Advanced Proteomics Techniques and Applications (3 papers) and Genetics, Aging, and Longevity in Model Organisms (3 papers). Dennis Pultz is often cited by papers focused on Mitochondrial Function and Pathology (3 papers), Advanced Proteomics Techniques and Applications (3 papers) and Genetics, Aging, and Longevity in Model Organisms (3 papers). Dennis Pultz collaborates with scholars based in Denmark, Norway and Switzerland. Dennis Pultz's co-authors include Nils J. Færgeman, Jens Andersen, Michal Domanski, Søren Lykke‐Andersen, Torben Heick Jensen, Kristoffer Vitting‐Seerup, Yun Chen, Evdoxia Karadoulama, Nicola Meola and Albin Sandelin and has published in prestigious journals such as Molecular Cell, Bioinformatics and Nature Methods.

In The Last Decade

Dennis Pultz

9 papers receiving 447 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dennis Pultz Denmark	7	378	53	50	36	29	9	454
Jin-ying Lu United States	7	526 1.4×	65 1.2×	22 0.4×	26 0.7×	54 1.9×	7	616
Vanessa Palermo Italy	13	491 1.3×	56 1.1×	44 0.9×	12 0.3×	66 2.3×	22	578
Jennifer R. Hryhorenko United States	12	311 0.8×	37 0.7×	13 0.3×	98 2.7×	83 2.9×	19	416
Andrea Annibal Germany	11	180 0.5×	56 1.1×	13 0.3×	14 0.4×	24 0.8×	20	310
Carissa Perez Olsen United States	9	257 0.7×	173 3.3×	62 1.2×	12 0.3×	31 1.1×	17	441
Bastian Niebel Netherlands	8	391 1.0×	38 0.7×	17 0.3×	12 0.3×	24 0.8×	8	456
Shang‐Tong Li China	9	197 0.5×	76 1.4×	16 0.3×	21 0.6×	34 1.2×	19	327
Bradley C. Naylor United States	10	263 0.7×	22 0.4×	17 0.3×	85 2.4×	55 1.9×	14	493
Minho Chae United States	6	178 0.5×	97 1.8×	33 0.7×	11 0.3×	8 0.3×	11	328
Tom Bender Switzerland	8	477 1.3×	14 0.3×	85 1.7×	13 0.4×	89 3.1×	8	573

Countries citing papers authored by Dennis Pultz

Since Specialization

Citations

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

Fields of papers citing papers by Dennis Pultz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dennis Pultz

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

All Works

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9 of 9 papers shown

1.

Meola, Nicola, Michal Domanski, Evdoxia Karadoulama, et al.. (2016). Identification of a Nuclear Exosome Decay Pathway for Processed Transcripts. Molecular Cell. 64(3). 520–533. 198 indexed citations

2.

Pultz, Dennis, et al.. (2014). Quantitative proteomics identifies unanticipated regulators of nitrogen- and glucose starvation. Molecular BioSystems. 10(8). 2176–2188. 6 indexed citations

3.

Zimmermann, Christine, Kenneth Gable, Sharon Epstein, et al.. (2013). TORC1 Inhibits GSK3-Mediated Elo2 Phosphorylation to Regulate Very Long Chain Fatty Acid Synthesis and Autophagy. Cell Reports. 5(4). 1036–1046. 36 indexed citations

4.

Cokelaer, Thomas, Dennis Pultz, Lea Mørch Harder, Jordi Serra-Musach, & Julio Sáez-Rodríguez. (2013). BioServices: a common Python package to access biological Web Services programmatically. Bioinformatics. 29(24). 3241–3242. 74 indexed citations

5.

Pultz, Dennis, Martin V. Bennetzen, Christine Zimmermann, et al.. (2012). Global mapping of protein phosphorylation events identifies Ste20, Sch9 and the cell-cycle regulatory kinases Cdc28/Pho85 as mediators of fatty acid starvation responses in Saccharomyces cerevisiae. Molecular BioSystems. 8(3). 796–803. 12 indexed citations

6.

Bennetzen, Martin V., Guillermo Mariño, Dennis Pultz, et al.. (2012). Phosphoproteomic analysis of cells treated with longevity-related autophagy inducers. Cell Cycle. 11(9). 1827–1840. 27 indexed citations

7.

Fredens, Julius, Kasper Engholm‐Keller, Dennis Pultz, et al.. (2011). Quantitative proteomics by amino acid labeling in C. elegans. Nature Methods. 8(10). 845–847. 47 indexed citations

8.

Elle, Ida C., et al.. (2010). Something worth dyeing for: Molecular tools for the dissection of lipid metabolism in Caenorhabditis elegans. FEBS Letters. 584(11). 2183–2193. 51 indexed citations

9.

Elle, Ida C., et al.. (2008). C. elegans: A Model for Understanding Lipid Accumulation. 1. 3 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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