Fiona Moffat

552 total citations
10 papers, 421 citations indexed

About

Fiona Moffat is a scholar working on Pathology and Forensic Medicine, Hematology and Psychiatry and Mental health. According to data from OpenAlex, Fiona Moffat has authored 10 papers receiving a total of 421 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Pathology and Forensic Medicine, 4 papers in Hematology and 3 papers in Psychiatry and Mental health. Recurrent topics in Fiona Moffat's work include Multiple Sclerosis Research Studies (6 papers), Autoimmune and Inflammatory Disorders Research (4 papers) and Hair Growth and Disorders (2 papers). Fiona Moffat is often cited by papers focused on Multiple Sclerosis Research Studies (6 papers), Autoimmune and Inflammatory Disorders Research (4 papers) and Hair Growth and Disorders (2 papers). Fiona Moffat collaborates with scholars based in United Kingdom, Sweden and Canada. Fiona Moffat's co-authors include Lorna Paul, Scott Rooney, Les Wood, Umer Zeeshan Ijaz, Iain B. McInnes, Simon Holmes, Simon Milling, Annika Åstrand, Leslie Wood and Jonathan Cavanagh and has published in prestigious journals such as Archives of Physical Medicine and Rehabilitation, British Journal of Dermatology and Clinical & Experimental Immunology.

In The Last Decade

Fiona Moffat

9 papers receiving 411 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Fiona Moffat United Kingdom 7 276 144 103 59 56 10 421
S. Robineau France 11 199 0.7× 77 0.5× 61 0.6× 124 2.1× 10 0.2× 45 446
S Ilsbroukx Belgium 3 301 1.1× 162 1.1× 19 0.2× 28 0.5× 13 0.2× 5 411
A. Duruflé France 13 126 0.5× 107 0.7× 90 0.9× 29 0.5× 15 0.3× 45 361
Dina H. El-Hammady Egypt 9 47 0.2× 48 0.3× 138 1.3× 16 0.3× 76 1.4× 13 426
C. Donzé France 13 221 0.8× 88 0.6× 12 0.1× 22 0.4× 21 0.4× 58 443
Nan Liu China 12 212 0.8× 42 0.3× 40 0.4× 24 0.4× 31 0.6× 26 449
Serafin Beer Switzerland 8 282 1.0× 110 0.8× 62 0.6× 3 0.1× 25 0.4× 10 511
Meryem Saraçoğlu Türkiye 10 140 0.5× 196 1.4× 33 0.3× 5 0.1× 22 0.4× 17 544
Hakan Genç Türkiye 13 153 0.6× 235 1.6× 35 0.3× 5 0.1× 105 1.9× 56 860
Darlene Stough United States 8 173 0.6× 85 0.6× 32 0.3× 11 0.2× 23 0.4× 15 336

Countries citing papers authored by Fiona Moffat

Since Specialization
Citations

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

Fields of papers citing papers by Fiona Moffat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fiona Moffat

This figure shows the co-authorship network connecting the top 25 collaborators of Fiona Moffat. A scholar is included among the top collaborators of Fiona Moffat 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 Fiona Moffat. Fiona Moffat is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Nichols, Ben, Fiona Moffat, Umer Zeeshan Ijaz, et al.. (2022). Stratification of alopecia areata reveals involvement of CD4 T cell populations and altered faecal microbiota. Clinical & Experimental Immunology. 210(2). 175–186. 5 indexed citations
2.
Rooney, Scott, et al.. (2021). Oxygen Cost of Walking in People With Multiple Sclerosis and Its Association With Fatigue: A Systematic Review and Meta-analysis. International Journal of MS Care. 24(2). 74–80. 4 indexed citations
3.
McDonald, Elizabeth S., Fiona Moffat, Madhura Castelino, et al.. (2019). Alopecia areata is characterized by dysregulation in systemic type 17 and type 2 cytokines, which may contribute to disease‐associated psychological morbidity. British Journal of Dermatology. 182(1). 130–137. 70 indexed citations
4.
Rooney, Scott, Leslie Wood, Fiona Moffat, & Lorna Paul. (2019). Is Fatigue Associated With Aerobic Capacity and Muscle Strength in People With Multiple Sclerosis: A Systematic Review and Meta-analysis. Archives of Physical Medicine and Rehabilitation. 100(11). 2193–2204. 15 indexed citations
5.
Rooney, Scott, Les Wood, Fiona Moffat, & Lorna Paul. (2019). Prevalence of fatigue and its association with clinical features in progressive and non-progressive forms of Multiple Sclerosis. Multiple Sclerosis and Related Disorders. 28. 276–282. 107 indexed citations
6.
Rooney, Scott, Fiona Moffat, Les Wood, & Lorna Paul. (2019). Effectiveness of Fatigue Management Interventions in Reducing Severity and Impact of Fatigue in People with Progressive Multiple Sclerosis. International Journal of MS Care. 21(1). 35–46. 19 indexed citations
9.
Moffat, Fiona, et al.. (2013). Effects of Locomotor Training After Incomplete Spinal Cord Injury: A Systematic Review. Archives of Physical Medicine and Rehabilitation. 94(11). 2297–2308. 171 indexed citations
10.
Kerr, Andrew, et al.. (2007). Specificity of recumbent cycling as a training modality for the functional movements; sit-to-stand and step-up. Clinical Biomechanics. 22(10). 1104–1111. 12 indexed citations

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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