SA Hawkins

32 total papers · 1.0k total citations
19 papers, 690 citations indexed

About

SA Hawkins is a scholar working on Pathology and Forensic Medicine, Epidemiology and Molecular Biology. According to data from OpenAlex, SA Hawkins has authored 19 papers receiving a total of 690 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Pathology and Forensic Medicine, 5 papers in Epidemiology and 3 papers in Molecular Biology. Recurrent topics in SA Hawkins's work include Multiple Sclerosis Research Studies (10 papers), Systemic Lupus Erythematosus Research (2 papers) and Systemic Sclerosis and Related Diseases (2 papers). SA Hawkins is often cited by papers focused on Multiple Sclerosis Research Studies (10 papers), Systemic Lupus Erythematosus Research (2 papers) and Systemic Sclerosis and Related Diseases (2 papers). SA Hawkins collaborates with scholars based in United Kingdom, Ireland and Bangladesh. SA Hawkins's co-authors include G V McDonnell, S A McMillan, Aidan Droogan, A. D. Crockard, David O. Bates, R. G. Will, Martin Zeidler, W. F. Durward, G. E. Stewart and David J. Burn and has published in prestigious journals such as The Lancet, Neurology and Journal of Neurology Neurosurgery & Psychiatry.

In The Last Decade

SA Hawkins

19 papers receiving 655 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
SA Hawkins	281	246	132	105	97	19	690
James Stankiewicz	339 1.2×	243 1.0×	82 0.6×	47 0.4×	67 0.7×	14	689
Amir Hadi Maghzi	240 0.9×	260 1.1×	111 0.8×	79 0.8×	72 0.7×	23	675
Antonie Giæver Beiske	120 0.4×	425 1.7×	118 0.9×	168 1.6×	32 0.3×	22	625
Laura Dumitrescu	241 0.9×	98 0.4×	159 1.2×	42 0.4×	96 1.0×	34	640
Anne‐Hilde Muris	104 0.4×	459 1.9×	36 0.3×	262 2.5×	25 0.3×	22	672
Daniela Perra	271 1.0×	40 0.2×	215 1.6×	52 0.5×	80 0.8×	22	689
Mark Rametta	75 0.3×	524 2.1×	127 1.0×	167 1.6×	33 0.3×	20	695
Donna Grant	134 0.5×	241 1.0×	207 1.6×	54 0.5×	59 0.6×	22	738
Karen Ribbons	115 0.4×	153 0.6×	41 0.3×	100 1.0×	23 0.2×	27	568
Maurizio Melis	248 0.9×	62 0.3×	326 2.5×	17 0.2×	171 1.8×	28	726

Countries citing papers authored by SA Hawkins

Since Specialization

Citations

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

Fields of papers citing papers by SA Hawkins

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of SA Hawkins

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

All Works

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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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