Karen Henshaw

1.3k total citations
9 papers, 1.1k citations indexed

About

Karen Henshaw is a scholar working on Genetics, Rheumatology and Urology. According to data from OpenAlex, Karen Henshaw has authored 9 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Genetics, 4 papers in Rheumatology and 3 papers in Urology. Recurrent topics in Karen Henshaw's work include Mesenchymal stem cell research (5 papers), Periodontal Regeneration and Treatments (3 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). Karen Henshaw is often cited by papers focused on Mesenchymal stem cell research (5 papers), Periodontal Regeneration and Treatments (3 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). Karen Henshaw collaborates with scholars based in United Kingdom, Ireland and Egypt. Karen Henshaw's co-authors include Paul Emery, Dennis McGonagle, Elena Jones, Anne English, Edward M Vital, Shouvik Dass, Andy C. Rawstron, Alex Markham, Sally E. Kinsey and Peter V. Giannoudis and has published in prestigious journals such as PLoS ONE, Journal of Orthopaedic Research® and Journal of Orthopaedic Trauma.

In The Last Decade

Karen Henshaw

9 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Karen Henshaw United Kingdom 9 563 491 244 222 204 9 1.1k
Sarah M. Churchman United Kingdom 21 581 1.0× 511 1.0× 389 1.6× 370 1.7× 136 0.7× 36 1.6k
Mercedes Alberca Spain 10 592 1.1× 778 1.6× 101 0.4× 493 2.2× 345 1.7× 16 1.8k
Amad Awadallah United States 21 437 0.8× 636 1.3× 149 0.6× 575 2.6× 227 1.1× 37 1.8k
Koshiro Sonomoto Japan 16 408 0.7× 274 0.6× 199 0.8× 98 0.4× 55 0.3× 61 895
M.C. del Cañizo Spain 19 250 0.4× 723 1.5× 228 0.9× 228 1.0× 149 0.7× 51 1.4k
Jehan J. El‐Jawhari United Kingdom 18 237 0.4× 362 0.7× 294 1.2× 183 0.8× 107 0.5× 38 1.1k
Shunsuke Fukuyo Japan 16 587 1.0× 275 0.6× 239 1.0× 76 0.3× 29 0.1× 46 964
K. C. Hicok United States 7 266 0.5× 478 1.0× 148 0.6× 322 1.5× 80 0.4× 8 1.0k
Anja Peterbauer Austria 19 162 0.3× 681 1.4× 130 0.5× 560 2.5× 133 0.7× 29 1.4k
Keni Gu United States 17 231 0.4× 305 0.6× 99 0.4× 160 0.7× 197 1.0× 20 1.2k

Countries citing papers authored by Karen Henshaw

Since Specialization
Citations

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

Fields of papers citing papers by Karen Henshaw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Karen Henshaw

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

All Works

9 of 9 papers shown
1.
Fragkakis, Evangelos M., Jehan J. El‐Jawhari, Robert Dunsmuir, et al.. (2018). Vertebral body versus iliac crest bone marrow as a source of multipotential stromal cells: Comparison of processing techniques, tri-lineage differentiation and application on a scaffold for spine fusion. PLoS ONE. 13(5). e0197969–e0197969. 26 indexed citations
2.
Pountos, Ippokratis, T. Georgouli, Karen Henshaw, Howard Bird, & Peter V. Giannoudis. (2013). Release of growth factors and the effect of age, sex, and severity of injury after long bone fracture. Acta Orthopaedica. 84(1). 65–70. 17 indexed citations
3.
Kouroupis, Dimitrios, et al.. (2011). Effects of antithrombotic drugs fondaparinux and tinzaparin on in vitro proliferation and osteogenic and chondrogenic differentiation of bone‐derived mesenchymal stem cells. Journal of Orthopaedic Research®. 29(9). 1327–1335. 19 indexed citations
4.
Vital, Edward M, Shouvik Dass, Maya H Buch, et al.. (2011). B cell biomarkers of rituximab responses in systemic lupus erythematosus. Arthritis & Rheumatism. 63(10). 3038–3047. 177 indexed citations
6.
Vital, Edward M, Andy C. Rawstron, Shouvik Dass, et al.. (2010). Reduced-dose rituximab in rheumatoid arthritis: Efficacy depends on degree of B cell depletion. Arthritis & Rheumatism. 63(3). 603–608. 65 indexed citations
7.
Jones, Elena, Aileen Crawford, Anne English, et al.. (2008). Synovial fluid mesenchymal stem cells in health and early osteoarthritis: Detection and functional evaluation at the single‐cell level. Arthritis & Rheumatism. 58(6). 1731–1740. 205 indexed citations
8.
Dass, Shouvik, Andy C. Rawstron, Edward M Vital, et al.. (2008). Highly sensitive B cell analysis predicts response to rituximab therapy in rheumatoid arthritis. Arthritis & Rheumatism. 58(10). 2993–2999. 166 indexed citations
9.
Jones, Elena, Anne English, Karen Henshaw, et al.. (2004). Enumeration and phenotypic characterization of synovial fluid multipotential mesenchymal progenitor cells in inflammatory and degenerative arthritis. Arthritis & Rheumatism. 50(3). 817–827. 291 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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