Ian G. Woods

3.4k citations
24 papers · 2.5k indexed · 1 hit paper · h-index 17
Topics
Zebrafish Biomedical Research Applications (10 papers)Chromosomal and Genetic Variations (4 papers)Sleep and Wakefulness Research (4 papers)

In The Last Decade

Ian G. Woods

23 papers receiving 2.5k citations

Hit Papers

Zebrafish Comparative Genomics and the Origins of Vertebr...20002026200820172000100200300400500

Peers

Ian G. Woods
Comparison fields: 5 of 110
  • Molecular Biology 1.6k
  • Cell Biology 714
  • Genetics 605
  • Cellular and Molecular Neuroscience 382
  • Plant Science 305
Replace Maximiliano L. Suster with:
Maximiliano L. Suster Japan
Emerald Perlas Italy
Fred A. Pereira United States
Wenbiao Chen United States
Reiko Toyama United States
Kazuhide Asakawa Japan
Zsolt Lele Hungary
Flora de Pablo Spain
Giselbert Hauptmann Sweden
Robert J. Winkfein Canada
Ian G. Woods relative to Maximiliano L. Suster Japan Maximiliano L. Suster's profile →
Citations per field
00.5×2.7×
Maximiliano L. Suster · 1×
Citations per year

Countries citing papers authored by Ian G. Woods

Since Specialization
Citations

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

Fields of papers citing papers by Ian G. Woods

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ian G. Woods. 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 Ian G. Woods. The network helps show where Ian G. Woods may publish in the future.

Co-authorship network of co-authors of Ian G. Woods

This figure shows the co-authorship network connecting the top 25 collaborators of Ian G. Woods. A scholar is included among the top collaborators of Ian G. Woods 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 Ian G. Woods. Ian G. Woods 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 0
2 5
3 6
4 6
5 33
6 7
7 73
8 27
9 293
10 95
11 39
12 318
13 267
14 93
15 92
16 80
17
Zebrafish Comparative Genomics and the Origins of Vertebrate Chromosomesbreakdown →
541
18 335
19 67
20
Prolactinomas: diagnostic value of biochemical markers.
1

About Ian G. Woods

Ian G. Woods is a scholar working on Cell Biology, Endocrine and Autonomic Systems and Developmental Neuroscience, having authored 24 papers that have together received 2.5k indexed citations. Recurring topics across this work include Zebrafish Biomedical Research Applications (10 papers), Chromosomal and Genetic Variations (4 papers) and Sleep and Wakefulness Research (4 papers). The work is most often cited by research in Developmental Neuroscience (204 citations), Cell Biology (714 citations) and Aging (41 citations). Ian G. Woods has collaborated with scholars based in United States, Australia and Estonia. Frequent co-authors include William S. Talbot, Peter D. Kelly, John H. Postlethwait, Alexander F. Schier, Hui Huang, Rebecca Nix, Yi‐Lin Yan, David A. Lyons, Hans‐Martin Pogoda and Farhad Imam. Their work appears in journals such as Nature, Journal of Neuroscience and PLoS ONE.

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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