Toby Passioura

2.0k citations
50 papers · 1.5k indexed · h-index 21
Topics
Chemical Synthesis and Analysis (14 papers)RNA and protein synthesis mechanisms (11 papers)RNA Interference and Gene Delivery (7 papers)

In The Last Decade

Toby Passioura

48 papers receiving 1.4k citations

Peers

Toby Passioura
Comparison fields: 5 of 76
  • Molecular Biology 1.2k
  • Radiology, Nuclear Medicine and Imaging 303
  • Organic Chemistry 270
  • Oncology 213
  • Microbiology 125
Replace Jinzi J. Wu with:
Jinzi J. Wu United States
Edelmira Cabezas United States
Kristopher Josephson United States
Yoshio Aramaki Japan
Eric F. Fisher United States
Christoph Seibert United States
Joakim E. Swedberg Australia
L. Nathan Tumey United States
Douglas A. Jeffery United States
Hirokazu Tamamura Japan
Toby Passioura relative to Jinzi J. Wu United States Jinzi J. Wu's profile →
Citations per field
00.5×
Jinzi J. Wu · 1×
Citations per year

Countries citing papers authored by Toby Passioura

Since Specialization
Citations

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

Fields of papers citing papers by Toby Passioura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Toby Passioura. 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 Toby Passioura. The network helps show where Toby Passioura may publish in the future.

Co-authorship network of co-authors of Toby Passioura

This figure shows the co-authorship network connecting the top 25 collaborators of Toby Passioura. A scholar is included among the top collaborators of Toby Passioura 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 Toby Passioura. Toby Passioura 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 2
2 3
3 0
4 5
5 45
6 14
7 32
8 7
9 58
10 50
11 117
12 35
13 17
14 2
15 20
16 10
17 28
18 0
19 23
20 8

About Toby Passioura

Toby Passioura is a scholar working on Molecular Biology, Hematology and Hepatology, having authored 50 papers that have together received 1.5k indexed citations. Recurring topics across this work include Chemical Synthesis and Analysis (14 papers), RNA and protein synthesis mechanisms (11 papers) and RNA Interference and Gene Delivery (7 papers). The work is most often cited by research in Microbiology (125 citations), Molecular Biology (1.2k citations) and Radiology, Nuclear Medicine and Imaging (303 citations). Toby Passioura has collaborated with scholars based in Japan, Australia and United States. Frequent co-authors include Hiroaki Suga, Takayuki Katoh, Yuki Goto, Kenichiro Ito, Alla Dolnikov, Joseph M. Rogers, Geoff Symonds, Sylvie Shen, Amber Goodchild and Richard J. Payne. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nucleic Acids Research.

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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