Heather Williams

5.5k citations
65 papers · 1.9k indexed · h-index 23

Impact in

Papers in

Heather Williams

63 papers receiving 1.8k citations

Peers

Heather Williams
Comparison fields: 5 of 144
  • Parasitology 230
  • Dermatology 271
  • Rehabilitation 202
  • Developmental Biology 61
  • Epidemiology 814
Replace Birgitta Evengård with:
Birgitta Evengård Sweden
Nick Andrews United Kingdom
David Haase Canada
André Aeschlimann Switzerland
Andrea Streng Germany
Maureen Groër United States
Barbara Cameron Australia
Robert Kalish United States
Alireza Khalilian Iran
Raymond P. Stowe United States
Heather Williams relative to Birgitta Evengård Sweden Birgitta Evengård's profile →
Citations per field
00.5×6.2×
Birgitta Evengård · 1×
Citations per year

Countries citing papers authored by Heather Williams

Since Specialization
Citations

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

Fields of papers citing papers by Heather Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Heather Williams, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Heather Williams Line = papers co-authored together Heather Williams links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201927
2 201659
3 201622
4 201363
5 20137
6 201139
7 201117
8 20103
9 2009125
10 20087
11 200746
12 2007120
13 200641
14 2004237
15 20034
16 20037
17 20006
18 199878
19 199681
20 199258

About Heather Williams

Heather Williams is a scholar working on Rehabilitation, Ecological Modeling, Psychiatry and Mental health, Developmental Biology and Anesthesiology and Pain Medicine, having authored 65 papers that have together received 1.9k indexed citations. Recurring topics across this work include Cerebral Palsy and Movement Disorders (16 papers), Stroke Rehabilitation and Recovery (14 papers), Traumatic Brain Injury Research (9 papers), Botulinum Toxin and Related Neurological Disorders (7 papers), Musculoskeletal pain and rehabilitation (7 papers), Avian ecology and behavior (7 papers), Herpesvirus Infections and Treatments (6 papers) and Pain Management and Opioid Use (5 papers). The work is most often cited by research in Parasitology (230 citations), Dermatology (271 citations), Rehabilitation (202 citations), Developmental Biology (61 citations) and Epidemiology (814 citations). Heather Williams has collaborated with scholars based in United Kingdom, United States and New Zealand. Frequent co-authors include Lynne Turner‐Stokes, Michael N. Oxman, Myron J. Levin, Gary R. Johnson, Jonathan N. Johnson, Paul Coplan, Peter W. Choo, Ivan S. F. Chan, Alexander Nikas and Kenneth E. Schmader. Their work appears in journals such as Disability and Rehabilitation, Clinical Rehabilitation, PM&R, The Journal of Infectious Diseases and BMJ Open.

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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