William T. Ralvenius

18 total papers · 927 total citations
14 papers, 681 citations indexed

About

William T. Ralvenius is a scholar working on Cellular and Molecular Neuroscience, Physiology and Molecular Biology. According to data from OpenAlex, William T. Ralvenius has authored 14 papers receiving a total of 681 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cellular and Molecular Neuroscience, 10 papers in Physiology and 3 papers in Molecular Biology. Recurrent topics in William T. Ralvenius's work include Neuroscience and Neuropharmacology Research (9 papers), Pain Mechanisms and Treatments (9 papers) and Neuropeptides and Animal Physiology (4 papers). William T. Ralvenius is often cited by papers focused on Neuroscience and Neuropharmacology Research (9 papers), Pain Mechanisms and Treatments (9 papers) and Neuropeptides and Animal Physiology (4 papers). William T. Ralvenius collaborates with scholars based in Switzerland, United States and Germany. William T. Ralvenius's co-authors include Hanns Ulrich Zeilhofer, Mario A. Acuña, Dietmar Benke, Uwe Rudolph, Hendrik Wildner, Helge C. Johannssen, Karen Haenraets, Ladina Hösli, Edmund Foster and Michael R. Bösl and has published in prestigious journals such as Journal of Clinical Investigation, Nature Communications and Neuron.

In The Last Decade

William T. Ralvenius

14 papers receiving 670 citations

Author Peers

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

Author Last Decade Papers Cites
William T. Ralvenius 367 339 224 114 75 14 681
Vijay K. Samineni 338 0.9× 258 0.8× 135 0.6× 37 0.3× 84 1.1× 19 651
Edmund Foster 315 0.9× 254 0.7× 257 1.1× 53 0.5× 36 0.5× 13 603
Haili Pan 334 0.9× 190 0.6× 124 0.6× 40 0.4× 36 0.5× 14 590
Helge C. Johannssen 347 0.9× 314 0.9× 210 0.9× 53 0.5× 55 0.7× 12 747
Thomas Bishop 362 1.0× 266 0.8× 118 0.5× 34 0.3× 31 0.4× 12 656
Chi‐Kun Tong 362 1.0× 422 1.2× 329 1.5× 78 0.7× 85 1.1× 21 756
Yao‐Qing Yu 320 0.9× 153 0.5× 219 1.0× 116 1.0× 83 1.1× 27 633
Toyofumi Ataka 551 1.5× 388 1.1× 263 1.2× 99 0.9× 81 1.1× 11 740
Katelyn E. Sadler 340 0.9× 188 0.6× 132 0.6× 62 0.5× 56 0.7× 28 621
Qinghao Xu 454 1.2× 355 1.0× 303 1.4× 75 0.7× 57 0.8× 17 753

Countries citing papers authored by William T. Ralvenius

Since Specialization
Citations

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

Fields of papers citing papers by William T. Ralvenius

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of William T. Ralvenius

This figure shows the co-authorship network connecting the top 25 collaborators of William T. Ralvenius. A scholar is included among the top collaborators of William T. Ralvenius 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 William T. Ralvenius. William T. Ralvenius 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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