Frederick J. Troendle

10 total papers · 648 total citations
9 papers, 540 citations indexed

About

Frederick J. Troendle is a scholar working on Physiology, Spectroscopy and Molecular Biology. According to data from OpenAlex, Frederick J. Troendle has authored 9 papers receiving a total of 540 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Physiology, 4 papers in Spectroscopy and 3 papers in Molecular Biology. Recurrent topics in Frederick J. Troendle's work include Analytical Chemistry and Chromatography (3 papers), Mass Spectrometry Techniques and Applications (2 papers) and Nuclear Receptors and Signaling (2 papers). Frederick J. Troendle is often cited by papers focused on Analytical Chemistry and Chromatography (3 papers), Mass Spectrometry Techniques and Applications (2 papers) and Nuclear Receptors and Signaling (2 papers). Frederick J. Troendle collaborates with scholars based in United States and Argentina. Frederick J. Troendle's co-authors include Christopher B. Eckman, Richard A. Yost, Dennis W. Dickson, Michael W. DeLucia, Chris W. Lee, Kenneth E. Bernstein, Abdul H. Fauq, Elizabeth A. Eckman, Hong Xiao and Chad A. Dickey and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Neuroscience and The FASEB Journal.

In The Last Decade

Frederick J. Troendle

8 papers receiving 526 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Frederick J. Troendle 311 220 113 69 66 9 540
Ping‐Chung Chen 215 0.7× 395 1.8× 98 0.9× 87 1.3× 24 0.4× 13 591
Marko Košiček 349 1.1× 311 1.4× 40 0.4× 85 1.2× 27 0.4× 13 593
Lingjuan Hong 107 0.3× 187 0.8× 131 1.2× 16 0.2× 46 0.7× 15 581
Boer Xie 101 0.3× 317 1.4× 177 1.6× 48 0.7× 25 0.4× 17 515
Sean R. Kundinger 280 0.9× 309 1.4× 36 0.3× 40 0.6× 31 0.5× 6 461
Yong Tang 282 0.9× 196 0.9× 31 0.3× 156 2.3× 50 0.8× 21 603
Anastazija Gnjec 309 1.0× 186 0.8× 17 0.2× 32 0.5× 65 1.0× 7 501
Yuan Shi 288 0.9× 244 1.1× 36 0.3× 27 0.4× 34 0.5× 16 496
Aida Attar 302 1.0× 265 1.2× 21 0.2× 90 1.3× 61 0.9× 14 617
Sigrid Schnoegl 319 1.0× 366 1.7× 27 0.2× 48 0.7× 74 1.1× 11 589

Countries citing papers authored by Frederick J. Troendle

Since Specialization
Citations

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

Fields of papers citing papers by Frederick J. Troendle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Frederick J. Troendle. 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 Frederick J. Troendle. The network helps show where Frederick J. Troendle may publish in the future.

Co-authorship network of co-authors of Frederick J. Troendle

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

All Works

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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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