Eric T. Trautman

4.9k total citations
3 papers, 109 citations indexed

About

Eric T. Trautman is a scholar working on Structural Biology, Cellular and Molecular Neuroscience and Media Technology. According to data from OpenAlex, Eric T. Trautman has authored 3 papers receiving a total of 109 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Structural Biology, 1 paper in Cellular and Molecular Neuroscience and 1 paper in Media Technology. Recurrent topics in Eric T. Trautman's work include Skin and Cellular Biology Research (1 paper), Cellular transport and secretion (1 paper) and Insect Pheromone Research and Control (1 paper). Eric T. Trautman is often cited by papers focused on Skin and Cellular Biology Research (1 paper), Cellular transport and secretion (1 paper) and Insect Pheromone Research and Control (1 paper). Eric T. Trautman collaborates with scholars based in United States, India and Canada. Eric T. Trautman's co-authors include Madhusudhan Venkadesan, Àlex Gómez-Marín, Vivek Jayaraman, Matthieu Louis, Gus K. Lott, Parvez Ahammad, Marco Musy, James Sharpe, Julia Riedl and David Jarriault and has published in prestigious journals such as Nature Communications, Nature Cell Biology and eLife.

In The Last Decade

Eric T. Trautman

3 papers receiving 108 citations

Peers

Eric T. Trautman
Gabriella R Sterne United States
David Vacek United States
Jingchun Zhu United States
Serene Dhawan United Kingdom
Gabriella R Sterne United States
Eric T. Trautman
Citations per year, relative to Eric T. Trautman Eric T. Trautman (= 1×) peers Gabriella R Sterne

Countries citing papers authored by Eric T. Trautman

Since Specialization
Citations

This map shows the geographic impact of Eric T. Trautman'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 Eric T. Trautman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric T. Trautman more than expected).

Fields of papers citing papers by Eric T. Trautman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eric T. Trautman. 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 Eric T. Trautman. The network helps show where Eric T. Trautman may publish in the future.

Co-authorship network of co-authors of Eric T. Trautman

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

All Works

3 of 3 papers shown
1.
Popovych, Sergiy, Thomas Macrina, Nico Kemnitz, et al.. (2024). Petascale pipeline for precise alignment of images from serial section electron microscopy. Nature Communications. 15(1). 289–289. 8 indexed citations
2.
Giang, W., Jesse Aaron, Satya Khuon, et al.. (2023). Architecture and dynamics of a desmosome–endoplasmic reticulum complex. Nature Cell Biology. 25(6). 823–835. 28 indexed citations
3.
Gómez-Marín, Àlex, Vani G. Rajendran, Gus K. Lott, et al.. (2015). Dynamical feature extraction at the sensory periphery guides chemotaxis. eLife. 4. 73 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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