Stephen A. Wood

5.4k citations
85 papers · 3.5k indexed · h-index 37
Topics
Ubiquitin and proteasome pathways (36 papers)Genetics and Neurodevelopmental Disorders (19 papers)Parkinson's Disease Mechanisms and Treatments (7 papers)

In The Last Decade

Stephen A. Wood

85 papers receiving 3.5k citations

Peers

Stephen A. Wood
Comparison fields: 5 of 128
  • Molecular Biology 2.5k
  • Genetics 760
  • Cell Biology 627
  • Oncology 513
  • Epidemiology 275
Replace Mark E. Graham with:
Mark E. Graham Australia
Guillermo Romero United States
Sheelagh Frame United Kingdom
Martin Ramsden United Kingdom
Ryozo Kuwano Japan
Brian E. Wadzinski United States
Jonathan Ham United Kingdom
Juan A. Osés-Prieto United States
Michael D. Uhler United States
Takashi Kuramoto Japan
Stephen A. Wood relative to Mark E. Graham Australia Mark E. Graham's profile →
Citations per field
00.5×3.3×
Mark E. Graham · 1×
Citations per year

Countries citing papers authored by Stephen A. Wood

Since Specialization
Citations

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

Fields of papers citing papers by Stephen A. Wood

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen A. Wood. 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 Stephen A. Wood. The network helps show where Stephen A. Wood may publish in the future.

Co-authorship network of co-authors of Stephen A. Wood

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen A. Wood. A scholar is included among the top collaborators of Stephen A. Wood 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 Stephen A. Wood. Stephen A. Wood 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 6
2 49
3 4
4 87
5 9
6 23
7 23
8 142
9 58
10 176
11 62
12 30
13 48
14 11
15 69
16 24
17 49
18 50
19 74
20 58

About Stephen A. Wood

Stephen A. Wood is a scholar working on Cell Biology, Developmental Neuroscience and Molecular Biology, having authored 85 papers that have together received 3.5k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (36 papers), Genetics and Neurodevelopmental Disorders (19 papers) and Parkinson's Disease Mechanisms and Treatments (7 papers). The work is most often cited by research in Cell Biology (627 citations), Molecular Biology (2.5k citations) and Genetics (760 citations). Stephen A. Wood has collaborated with scholars based in Australia, United States and Japan. Frequent co-authors include Lachlan A. Jolly, George D. Mellick, P. L. Kaye, Jozef Gécz, Wendy J. Brown, Masami Kanai‐Azuma, Mariyam Murtaza, Kozo Kaibuchi, Anna B. Auerbach and András Nagy. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

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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