Heidi G. Sutherland

5.2k citations
95 papers · 3.8k indexed · 1 hit paper · h-index 24
Topics
Migraine and Headache Studies (25 papers)Epigenetics and DNA Methylation (17 papers)Genomics and Chromatin Dynamics (11 papers)

In The Last Decade

Heidi G. Sutherland

90 papers receiving 3.7k citations

Hit Papers

Epigenetic inheritance at the agouti locus in the mouse19992026200820171999250500750

Peers

Heidi G. Sutherland
Comparison fields: 5 of 134
  • Molecular Biology 2.5k
  • Genetics 1.0k
  • Psychiatry and Mental health 477
  • Pediatrics, Perinatology and Child Health 385
  • Plant Science 301
Replace Michel Guipponi with:
Michel Guipponi Switzerland
Alexander G. Bassuk United States
Christel Depienne France
Tanya M. Teslovich United States
Steven R. Grossman United States
G Lucotte France
Giulio Genovese United States
Anne Schaefer United States
D. Holmes Morton United States
Kevin Lee United States
Heidi G. Sutherland relative to Michel Guipponi Switzerland Michel Guipponi's profile →
Citations per field
00.5×2.6×
Michel Guipponi · 1×
Citations per year

Countries citing papers authored by Heidi G. Sutherland

Since Specialization
Citations

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

Fields of papers citing papers by Heidi G. Sutherland

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Heidi G. Sutherland

This figure shows the co-authorship network connecting the top 25 collaborators of Heidi G. Sutherland. A scholar is included among the top collaborators of Heidi G. Sutherland 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 Heidi G. Sutherland. Heidi G. Sutherland 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 1
3 0
4 0
5 0
6 9
7 10
8 4
9 33
10 8
11 6
12 8
13 4
14 92
15
Investigation of brain-derived neurotrophic factor (BDNF) gene variants in migraine
4
16 4
17 88
18 4
19 103
20 67

About Heidi G. Sutherland

Heidi G. Sutherland is a scholar working on Psychiatry and Mental health, Endocrine and Autonomic Systems and Neurology, having authored 95 papers that have together received 3.8k indexed citations. Recurring topics across this work include Migraine and Headache Studies (25 papers), Epigenetics and DNA Methylation (17 papers) and Genomics and Chromatin Dynamics (11 papers). The work is most often cited by research in Virology (231 citations), Molecular Biology (2.5k citations) and Genetics (1.0k citations). Heidi G. Sutherland has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Wendy A. Bickmore, Emma Whitelaw, David I. K. Martin, Hugh D. Morgan, Lyn R. Griffiths, Larisa M. Haupt, Cassie L. Albury, Graeme R. Grimes, Madapura M. Pradeepa and Jernej Ule. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Genetics.

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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