David J. Titus

26 total papers · 623 total citations
19 papers, 510 citations indexed

About

David J. Titus is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, David J. Titus has authored 19 papers receiving a total of 510 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cellular and Molecular Neuroscience, 8 papers in Molecular Biology and 5 papers in Cognitive Neuroscience. Recurrent topics in David J. Titus's work include Neuroscience and Neuropharmacology Research (5 papers), Phosphodiesterase function and regulation (5 papers) and Traumatic Brain Injury and Neurovascular Disturbances (4 papers). David J. Titus is often cited by papers focused on Neuroscience and Neuropharmacology Research (5 papers), Phosphodiesterase function and regulation (5 papers) and Traumatic Brain Injury and Neurovascular Disturbances (4 papers). David J. Titus collaborates with scholars based in United States, India and Brazil. David J. Titus's co-authors include Coleen M. Atkins, W. Dalton Dietrich, B.S. Shankaranarayana Rao, Shashi Bala Singh, T.R. Raju, Bettadapura N. Srikumar, Sumantra Chattarji, Kunka Mohanram Ramkumar, Anthony A. Oliva and Lea Ziskind‐Conhaim and has published in prestigious journals such as Journal of Neuroscience, PLoS ONE and Journal of Neurophysiology.

In The Last Decade

David J. Titus

18 papers receiving 501 citations

Author Peers

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

Author Last Decade Papers Cites
David J. Titus 226 116 106 90 90 19 510
Jorge S. Valadas 171 0.8× 98 0.8× 158 1.5× 49 0.5× 47 0.5× 12 523
Shi-Jie Liu 217 1.0× 93 0.8× 166 1.6× 58 0.6× 55 0.6× 11 585
Maria A. Costa-Besada 214 0.9× 111 1.0× 150 1.4× 47 0.5× 35 0.4× 11 571
Xin Wang 111 0.5× 48 0.4× 96 0.9× 78 0.9× 31 0.3× 25 457
Yi Pan 74 0.3× 190 1.6× 140 1.3× 60 0.7× 51 0.6× 16 507
Robert C. Holley 166 0.7× 92 0.8× 429 4.0× 55 0.6× 54 0.6× 16 613
Qi Cheng 202 0.9× 79 0.7× 131 1.2× 26 0.3× 45 0.5× 20 579
Zhenjun Tan 139 0.6× 63 0.5× 168 1.6× 42 0.5× 83 0.9× 15 503
Judit Gál 170 0.8× 86 0.7× 198 1.9× 36 0.4× 56 0.6× 13 535
Jeffrey L. Barr 200 0.9× 60 0.5× 275 2.6× 45 0.5× 62 0.7× 29 547

Countries citing papers authored by David J. Titus

Since Specialization
Citations

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

Fields of papers citing papers by David J. Titus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David J. Titus

This figure shows the co-authorship network connecting the top 25 collaborators of David J. Titus. A scholar is included among the top collaborators of David J. Titus 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 David J. Titus. David J. Titus 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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