Thomas D. Bannister

3.7k citations
78 papers · 2.4k indexed · 1 hit paper · h-index 28
Topics
Receptor Mechanisms and Signaling (14 papers)Protein Kinase Regulation and GTPase Signaling (9 papers)Neuropeptides and Animal Physiology (8 papers)

In The Last Decade

Thomas D. Bannister

77 papers receiving 2.4k citations

Hit Papers

Bias Factor and Therapeutic Window Correlate to Predict S...20172026202020232017100200300

Peers

Thomas D. Bannister
Comparison fields: 5 of 132
  • Molecular Biology 1.2k
  • Organic Chemistry 676
  • Cellular and Molecular Neuroscience 460
  • Pharmacology 179
  • Physiology 170
Replace Sung Bae Lee with:
Sung Bae Lee South Korea
Simona Daniele Italy
Magid Abou‐Gharbia United States
Richard D. Egleton United States
Matthias Engel Germany
Joseph B. Monahan United States
Canan G. Nebigil France
Carlos Davio Argentina
Ailing Fu China
Giovanni Greco Italy
Thomas D. Bannister relative to Sung Bae Lee South Korea Sung Bae Lee's profile →
Citations per field
00.5×1.5×
Sung Bae Lee · 1×
Citations per year

Countries citing papers authored by Thomas D. Bannister

Since Specialization
Citations

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

Fields of papers citing papers by Thomas D. Bannister

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas D. Bannister. 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 Thomas D. Bannister. The network helps show where Thomas D. Bannister may publish in the future.

Co-authorship network of co-authors of Thomas D. Bannister

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas D. Bannister. A scholar is included among the top collaborators of Thomas D. Bannister 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 Thomas D. Bannister. Thomas D. Bannister 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
#WorkIndexed citations
1 1
2 1
3 3
4 2
5 13
6 1
7 4
8 39
9 107
10 45
11 20
12 1
13 7
14 10
15 5
16 53
17 32
18 118
19 37
20
High Dose Modified-release Nicotinic Acid Reduces Carotid Atherosclerosis: a Randomized, Placebo-controlled Magnetic Resonance Study
2

About Thomas D. Bannister

Thomas D. Bannister is a scholar working on Organic Chemistry, Molecular Biology and Cellular and Molecular Neuroscience, having authored 78 papers that have together received 2.4k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (14 papers), Protein Kinase Regulation and GTPase Signaling (9 papers) and Neuropeptides and Animal Physiology (8 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (460 citations), Organic Chemistry (676 citations) and Molecular Biology (1.2k citations). Thomas D. Bannister has collaborated with scholars based in United States, Germany and Australia. Frequent co-authors include Michael D. Cameron, William Roush, Nicole Kennedy, Cullen L. Schmid, Laura Bohn, Zhizhou Yue, Nicolette C. Ross, Kimberly M. Lovell, Michael Wendt and Jenny Morgenweck. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

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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