Paul C. Guest

12.5k total citations · 2 hit papers
322 papers, 8.5k citations indexed

About

Paul C. Guest is a scholar working on Molecular Biology, Biological Psychiatry and Physiology. According to data from OpenAlex, Paul C. Guest has authored 322 papers receiving a total of 8.5k indexed citations (citations by other indexed papers that have themselves been cited), including 124 papers in Molecular Biology, 78 papers in Biological Psychiatry and 46 papers in Physiology. Recurrent topics in Paul C. Guest's work include Tryptophan and brain disorders (78 papers), Advanced Proteomics Techniques and Applications (41 papers) and Metabolomics and Mass Spectrometry Studies (37 papers). Paul C. Guest is often cited by papers focused on Tryptophan and brain disorders (78 papers), Advanced Proteomics Techniques and Applications (41 papers) and Metabolomics and Mass Spectrometry Studies (37 papers). Paul C. Guest collaborates with scholars based in Brazil, United Kingdom and Germany. Paul C. Guest's co-authors include Zóltan Sarnyai, Ann-Katrin Kraeuter, Hassan Rahmoune, Sabine Bahn, Daniel Martins‐de‐Souza, Sabine Bahn, Johann Steiner, Laura W. Harris, Emanuel Schwarz and John C. Hutton and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Paul C. Guest

306 papers receiving 8.4k citations

Hit Papers

The Y-Maze for Assessment of Spatial Working and Referenc... 2018 2026 2020 2023 2018 2018 250 500 750

Peers

Paul C. Guest
Comparison fields: 5 of 168
  • Molecular Biology 3.2k
  • Biological Psychiatry 2.4k
  • Physiology 1.4k
  • Cellular and Molecular Neuroscience 1.2k
  • Psychiatry and Mental health 1.1k
Replace Andrea Schmitt with:
Andrea Schmitt Germany
David Cotter Ireland
Rima Kaddurah‐Daouk United States
F. Markus Leweke Germany
Brian Dean Australia
Johann Steiner Germany
Ângela Terezinha de Souza Wyse Brazil
Jianjun Chen China
Gabriel Nowak Poland
Filippo Caraci Italy
Andrea Schmitt Germany View profile →
Citations per field, relative to Paul C. Guest
Paul C. Guest · 1×
Citations per year, relative to Paul C. Guest
Paul C. Guest · 1×

Countries citing papers authored by Paul C. Guest

Since Specialization
Citations

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

Fields of papers citing papers by Paul C. Guest

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paul C. Guest. 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 Paul C. Guest. The network helps show where Paul C. Guest may publish in the future.

Co-authorship network of co-authors of Paul C. Guest

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 4
3 4
4 2
5 9
6 1
7 14
8 4
9 22
10 5
11 49
12 54
13 6
14 163
15 60
16 99
17 23
18 15
19 25
20
PROTEIN MISTARGETING IN A PC12 VARIANT LACKING REGULATED SECRETION
1

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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