Anna Williams

12.0k citations
113 papers · 7.1k indexed · 4 hit papers · h-index 41

Anna Williams

105 papers receiving 7.0k citations

Hit Papers

Remyelination in multiple sclerosis: fr...23220132026201720214008001.2k

Peers

Anna Williams
Comparison fields: 5 of 154
  • Developmental Neuroscience 2.6k
  • Neurology 2.8k
  • Pathology and Forensic Medicine 1.5k
  • Cellular and Molecular Neuroscience 1.2k
  • Immunology 1.3k
Replace Tanja Kuhlmann with:
Tanja Kuhlmann Germany
Markus Kipp Germany
Ranjan Dutta United States
Mark Kotter United Kingdom
John R. Bethea United States
Thomas Skripuletz Germany
Craig S. Moore Canada
Catherine Lubetzki France
Neil Scolding United Kingdom
Inge Huitinga Netherlands
Anna Williams relative to Tanja Kuhlmann Germany Tanja Kuhlmann's profile →
Citations per field
00.5×1.5×
Tanja Kuhlmann · 1×
Citations per year

Countries citing papers authored by Anna Williams

Since Specialization
Citations

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

Fields of papers citing papers by Anna Williams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Anna 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 Anna Williams Line = papers co-authored together Anna Williams links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
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4 20251
5 20242
6 20243
7 202413
8 20240
9 20241
10 202318
11 202320
12 2022106
13 202279
14 20228
15 202129
16 202158
17 202140
18 202123
19
Disease-specific oligodendrocyte lineage cells arise in multiple sclerosisbreakdown →
2018354
20 201749

About Anna Williams

Anna Williams is a scholar working on Developmental Neuroscience, Neurology, Pathology and Forensic Medicine, Cellular and Molecular Neuroscience and Anatomy, having authored 113 papers that have together received 7.1k indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (37 papers), Neuroinflammation and Neurodegeneration Mechanisms (19 papers), Multiple Sclerosis Research Studies (14 papers), Palliative Care and End-of-Life Issues (11 papers), Cancer survivorship and care (11 papers), Childhood Cancer Survivors' Quality of Life (9 papers), Nerve injury and regeneration (7 papers) and Cerebrovascular and genetic disorders (7 papers). The work is most often cited by research in Developmental Neuroscience (2.6k citations), Neurology (2.8k citations), Pathology and Forensic Medicine (1.5k citations), Cellular and Molecular Neuroscience (1.2k citations) and Immunology (1.3k citations). Anna Williams has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Charles ffrench‐Constant, Amanda Boyd, Catherine Lubetzki, Robin J.M. Franklin, Gabrièle Piaton, Véronique E. Miron, Tracy J. Yuen, Jingwei Zhao, Jennifer L. Shadrach and Amy J. Wagers. Their work appears in journals such as Nature Neuroscience, Brain, Acta Neuropathologica, Acta Neuropathologica Communications and Nature Communications.

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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