Robert T. Turner

825 citations
17 papers · 673 indexed · h-index 11
Topics
Alzheimer's disease research and treatments (8 papers)Computational Drug Discovery Methods (6 papers)Machine Learning in Bioinformatics (3 papers)
Partner nations
United StatesJapan

In The Last Decade

Robert T. Turner

15 papers receiving 657 citations

Peers

Robert T. Turner
Comparison fields: 5 of 68
  • Physiology 405
  • Computational Theory and Mathematics 366
  • Molecular Biology 316
  • Pharmacology 289
  • Oncology 76
Replace Heinrich Rueeger with:
Heinrich Rueeger Switzerland
Ashley A. Reinke United States
Vajira Weerasena United States
Joanne M. Caine Australia
Ken-ichiro Kataoka Japan
Wendy Bicknell Australia
Thomas G. Steele United States
Timothy D. McKee United States
Tingkai Chen China
Xiaohong Yang China
Robert T. Turner relative to Heinrich Rueeger Switzerland Heinrich Rueeger's profile →
Citations per field
00.5×1.5×1.8×
Heinrich Rueeger · 1×
Citations per year

Countries citing papers authored by Robert T. Turner

Since Specialization
Citations

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

Fields of papers citing papers by Robert T. Turner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Robert T. Turner

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

All Works

17 of 17 papers shown
#WorkIndexed citations
1 9
2 1
3 2
4 74
5 73
6 48
7 21
8 62
9 12
10 2
11 15
12 38
13 158
14 11
15 146
16 0
17 1

About Robert T. Turner

Robert T. Turner is a scholar working on Computational Theory and Mathematics, Physiology and Pharmacology, having authored 17 papers that have together received 673 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (8 papers), Computational Drug Discovery Methods (6 papers) and Machine Learning in Bioinformatics (3 papers). The work is most often cited by research in Computational Theory and Mathematics (366 citations), Pharmacology (289 citations) and Physiology (405 citations). Robert T. Turner has collaborated with scholars based in United States and Japan. Frequent co-authors include Jordan Tang, Gerald Koelsch, Arun K. Ghosh, Hong Lin, Lin Hong, Wan‐Pin Chang, Vajira Weerasena, Nagaswamy Kumaragurubaran, Sarang Kulkarni and Xiaoming Xu. Their work appears in journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and Biochemistry.

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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