L. M. Williamson

20 total papers · 884 total citations
15 papers, 492 citations indexed

About

L. M. Williamson is a scholar working on Hematology, Management of Technology and Innovation and Biochemistry. According to data from OpenAlex, L. M. Williamson has authored 15 papers receiving a total of 492 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Hematology, 5 papers in Management of Technology and Innovation and 5 papers in Biochemistry. Recurrent topics in L. M. Williamson's work include Blood groups and transfusion (6 papers), Blood transfusion and management (5 papers) and Blood donation and transfusion practices (5 papers). L. M. Williamson is often cited by papers focused on Blood groups and transfusion (6 papers), Blood transfusion and management (5 papers) and Blood donation and transfusion practices (5 papers). L. M. Williamson collaborates with scholars based in United Kingdom, Nigeria and Belgium. L. M. Williamson's co-authors include Hannah Cohen, Elizabeth M. Love, Kate Soldan, Patricia O. Skacel, D. B. L. McClelland, J. A. J. Barbara, Sarina C. Lowe, Ruth M. Warwick, Rebecca Cardigan and S. J. Urbaniak and has published in prestigious journals such as Scientific Reports, British Journal of Haematology and Blood Reviews.

In The Last Decade

L. M. Williamson

13 papers receiving 457 citations

Author Peers

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

Author Last Decade Papers Cites
L. M. Williamson 263 207 139 115 68 15 492
M. Bruce 220 0.8× 162 0.8× 86 0.6× 99 0.9× 67 1.0× 16 423
Ileana Lopez‐Plaza 227 0.9× 184 0.9× 132 0.9× 80 0.7× 54 0.8× 26 444
Karin Janetzko 252 1.0× 183 0.9× 161 1.2× 37 0.3× 55 0.8× 26 483
Audrey Todd 189 0.7× 188 0.9× 61 0.4× 81 0.7× 91 1.3× 14 513
Alexandra Gray 279 1.1× 132 0.6× 160 1.2× 145 1.3× 53 0.8× 10 414
Suzanne H. Butch 179 0.7× 174 0.8× 86 0.6× 45 0.4× 52 0.8× 26 421
Kathleen M. Grima 125 0.5× 176 0.9× 87 0.6× 48 0.4× 69 1.0× 16 448
C. Barrasso 258 1.0× 214 1.0× 145 1.0× 44 0.4× 91 1.3× 16 456
P. M. Ness 229 0.9× 245 1.2× 112 0.8× 45 0.4× 34 0.5× 17 507
Danielle Rebibo 339 1.3× 128 0.6× 227 1.6× 166 1.4× 46 0.7× 20 481

Countries citing papers authored by L. M. Williamson

Since Specialization
Citations

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

Fields of papers citing papers by L. M. Williamson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by L. M. Williamson. 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 L. M. Williamson. The network helps show where L. M. Williamson may publish in the future.

Co-authorship network of co-authors of L. M. Williamson

This figure shows the co-authorship network connecting the top 25 collaborators of L. M. Williamson. A scholar is included among the top collaborators of L. M. Williamson 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 L. M. Williamson. L. M. Williamson 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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