Donna Grant

969 total citations
22 papers, 745 citations indexed

About

Donna Grant is a scholar working on Neurology, Pathology and Forensic Medicine and Molecular Biology. According to data from OpenAlex, Donna Grant has authored 22 papers receiving a total of 745 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Neurology, 7 papers in Pathology and Forensic Medicine and 5 papers in Molecular Biology. Recurrent topics in Donna Grant's work include Multiple Sclerosis Research Studies (7 papers), Peripheral Neuropathies and Disorders (5 papers) and Hereditary Neurological Disorders (3 papers). Donna Grant is often cited by papers focused on Multiple Sclerosis Research Studies (7 papers), Peripheral Neuropathies and Disorders (5 papers) and Hereditary Neurological Disorders (3 papers). Donna Grant collaborates with scholars based in United Kingdom, United States and Canada. Donna Grant's co-authors include Gavin Giovannoni, Samuel J. Machin, Sharmilee Gnanapavan, Carol Briggs, S. V. Morant, Julie Staves, Paul Harrison, Geoff Keir, Jens Kühle and Emmanuelle Waubant and has published in prestigious journals such as PLoS ONE, Brain and Neurology.

In The Last Decade

Donna Grant

22 papers receiving 719 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Donna Grant United Kingdom 14 241 211 137 112 100 22 745
Linjie Zhang China 16 166 0.7× 122 0.6× 344 2.5× 49 0.4× 91 0.9× 86 1.1k
Yasuhiro Hasegawa Japan 16 259 1.1× 137 0.6× 251 1.8× 98 0.9× 14 0.1× 96 1.1k
Stefania Pacini Italy 19 163 0.7× 42 0.2× 215 1.6× 145 1.3× 15 0.1× 69 929
Andreas Katsanos Greece 26 170 0.7× 141 0.7× 201 1.5× 38 0.3× 18 0.2× 105 1.9k
Takanori Abe Japan 18 38 0.2× 243 1.2× 273 2.0× 125 1.1× 26 0.3× 44 1.1k
Hanna Schierbeck Sweden 11 57 0.2× 52 0.2× 335 2.4× 58 0.5× 32 0.3× 16 1.2k
Hao Gu China 14 77 0.3× 48 0.2× 295 2.2× 88 0.8× 88 0.9× 32 746
A Bergk Germany 16 158 0.7× 38 0.2× 206 1.5× 69 0.6× 19 0.2× 25 1.6k
Karen Ribbons Australia 14 154 0.6× 41 0.2× 115 0.8× 92 0.8× 30 0.3× 28 572
Rossana Berti United States 12 239 1.0× 75 0.4× 254 1.9× 47 0.4× 16 0.2× 17 1.2k

Countries citing papers authored by Donna Grant

Since Specialization
Citations

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

Fields of papers citing papers by Donna Grant

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Donna Grant

This figure shows the co-authorship network connecting the top 25 collaborators of Donna Grant. A scholar is included among the top collaborators of Donna Grant 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 Donna Grant. Donna Grant 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
1.
Keddie, Stephen, Ryan Keh, Donna Grant, et al.. (2023). Peripherin is a biomarker of axonal damage in peripheral nervous system disease. Brain. 146(11). 4562–4573. 31 indexed citations
2.
Kühle, Jens, Donna Grant, Simon J. Hickman, et al.. (2020). Neurofilament results for the phase II neuroprotection study of phenytoin in optic neuritis. European Journal of Neurology. 28(2). 587–594. 4 indexed citations
3.
Kühle, Jens, Bardia Nourbakhsh, Donna Grant, et al.. (2017). Serum neurofilament is associated with progression of brain atrophy and disability in early MS. Neurology. 88(9). 826–831. 164 indexed citations
4.
Schirmer, Lucas, Viki Worthington, Ute V. Solloch, et al.. (2016). Higher frequencies of HLA DQB1*05:01 and anti-glycosphingolipid antibodies in a cluster of severe Guillain–Barré syndrome. Journal of Neurology. 263(10). 2105–2113. 13 indexed citations
5.
Gnanapavan, Sharmilee, Nasim Yousaf, Wendy Heywood, et al.. (2014). Growth associated protein (GAP-43): Cloning and the development of a sensitive ELISA for neurological disorders. Journal of Neuroimmunology. 276(1-2). 18–23. 7 indexed citations
6.
Gnanapavan, Sharmilee, Donna Grant, S. V. Morant, et al.. (2013). Biomarker Report from the Phase II Lamotrigine Trial in Secondary Progressive MS – Neurofilament as a Surrogate of Disease Progression. PLoS ONE. 8(8). e70019–e70019. 42 indexed citations
7.
Gnanapavan, Sharmilee, Donna Grant, Gareth Pryce, et al.. (2012). Neurofilament a biomarker of neurodegeneration in autoimmune encephalomyelitis. Autoimmunity. 45(4). 298–303. 11 indexed citations
8.
Gnanapavan, Sharmilee, et al.. (2010). Neural cell adhesion molecule — Description of a CSF ELISA method and evidence of reduced levels in selected neurological disorders. Journal of Neuroimmunology. 225(1-2). 118–122. 29 indexed citations
9.
Al‐Ismail, Saad, et al.. (2008). Two-centre evaluation of the Abbott CD3500 blood counter. Clinical & Laboratory Haematology. 17(1). 11–21. 4 indexed citations
10.
Petzold, Axel, Djordje Gverić, Mike Groves, et al.. (2008). Phosphorylation and compactness of neurofilaments in multiple sclerosis: Indicators of axonal pathology. Experimental Neurology. 213(2). 326–335. 58 indexed citations
11.
Petzold, Axel, N.P. Hirsch, Donna Grant, et al.. (2006). CSF neurofilament levels: A potential prognostic marker in Guillain–Barre syndrome. Neurology. 67(6). 1071–1073. 48 indexed citations
12.
Lim, Elaine T., Finn Sellebjerg, C.V. Jensen, et al.. (2005). Acute axonal damage predicts clinical outcome in patients with multiple sclerosis. Multiple Sclerosis Journal. 11(5). 532–536. 34 indexed citations
13.
Wang, Jian, et al.. (2005). Determination of Pesticides in Apple-Based Infant Foods Using Liquid Chromatography Electrospray Ionization Tandem Mass Spectrometry. Journal of Agricultural and Food Chemistry. 53(3). 528–537. 44 indexed citations
14.
Lim, Elaine T., Donna Grant, Мikhail Pashenkov, et al.. (2004). Cerebrospinal fluid levels of brain specific proteins in optic neuritis. Multiple Sclerosis Journal. 10(3). 261–265. 27 indexed citations
15.
Butler, Lorna, et al.. (2001). The impact and management of cancer-related fatigue on patients and families. Canadian Oncology Nursing Journal. 11(4). 192–198. 12 indexed citations
16.
Briggs, Carol, Donna Grant, & Samuel J. Machin. (2001). Comparison of the Automated Reticulocyte Counts and Immature Reticulocyte Fraction Measurements Obtained With the ABX Pentra 120 Retic Blood Analyzer and the Sysmex XE-2100 Automated Hematology Analyzer. 10 indexed citations
17.
Briggs, Carol, Paul Harrison, Donna Grant, Julie Staves, & Samuel J. Machin. (2000). New quantitative parameters on a recently introduced automated blood cell counter - the XE 2100TM. Clinical & Laboratory Haematology. 22(6). 345–350. 96 indexed citations
18.
Watts, Michael, et al.. (1999). Use of the haemopoietic progenitor cell count of the Sysmex SE‐9500 to refine apheresis timing of peripheral blood stem cells. British Journal of Haematology. 106(2). 538–544. 44 indexed citations
19.
Chitolie, A, et al.. (1994). Inaccuracy of the ‘derived’ fibrinogen measurement. Blood Coagulation & Fibrinolysis. 5(6). 955–957. 38 indexed citations
20.
Deitel, Mervyn, et al.. (1989). Physical stability of a total nutrient admixture for total parenteral nutrition.. PubMed. 32(4). 240–3. 7 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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