Stephanie K. Watson

805 total citations
8 papers, 587 citations indexed

About

Stephanie K. Watson is a scholar working on Molecular Biology, Hematology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Stephanie K. Watson has authored 8 papers receiving a total of 587 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Hematology and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Stephanie K. Watson's work include Platelet Disorders and Treatments (3 papers), Molecular Biology Techniques and Applications (3 papers) and Blood properties and coagulation (2 papers). Stephanie K. Watson is often cited by papers focused on Platelet Disorders and Treatments (3 papers), Molecular Biology Techniques and Applications (3 papers) and Blood properties and coagulation (2 papers). Stephanie K. Watson collaborates with scholars based in United Kingdom, Germany and Chile. Stephanie K. Watson's co-authors include Steve P. Watson, Nicola J. Oldroyd, Emma S. Millican, C. Kimpton, Andrew J. Urquhart, Craig E. Hughes, Osama M. Alshehri, Samantha J. Montague, Jon Frampton and Markus Bender and has published in prestigious journals such as Nature Communications, Blood and Circulation Research.

In The Last Decade

Stephanie K. Watson

8 papers receiving 566 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stephanie K. Watson United Kingdom 7 251 190 164 114 103 8 587
Sonia Águila Spain 16 450 1.8× 207 1.1× 81 0.5× 88 0.8× 36 0.3× 40 760
Fumie Nakazawa Japan 10 286 1.1× 202 1.1× 56 0.3× 51 0.4× 56 0.5× 15 711
Joanna‐Marie Howes United Kingdom 9 136 0.5× 97 0.5× 134 0.8× 52 0.5× 62 0.6× 13 388
M.C. Guillin France 12 385 1.5× 121 0.6× 135 0.8× 60 0.5× 79 0.8× 20 623
H Łukasiewicz Poland 8 236 0.9× 164 0.9× 180 1.1× 41 0.4× 62 0.6× 21 543
Robert A. Luhm United States 11 207 0.8× 295 1.6× 30 0.2× 33 0.3× 44 0.4× 12 690
John E. Lund United States 9 168 0.7× 83 0.4× 84 0.5× 27 0.2× 63 0.6× 14 430
Ryan Fiehler United States 9 510 2.0× 99 0.5× 66 0.4× 89 0.8× 23 0.2× 9 671
K Likert United States 8 665 2.6× 79 0.4× 35 0.2× 128 1.1× 73 0.7× 9 788
J S Greengard United States 9 353 1.4× 111 0.6× 59 0.4× 46 0.4× 20 0.2× 12 488

Countries citing papers authored by Stephanie K. Watson

Since Specialization
Citations

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

Fields of papers citing papers by Stephanie K. Watson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephanie K. Watson. 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 Stephanie K. Watson. The network helps show where Stephanie K. Watson may publish in the future.

Co-authorship network of co-authors of Stephanie K. Watson

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

All Works

8 of 8 papers shown
1.
Rayes, Julie, Siân Lax, Surasak Wichaiyo, et al.. (2017). The podoplanin-CLEC-2 axis inhibits inflammation in sepsis. Nature Communications. 8(1). 2239–2239. 116 indexed citations
2.
Onselaer, Marie-Blanche, Alexander T. Hardy, Clare Wilson, et al.. (2017). Fibrin and D-dimer bind to monomeric GPVI. Blood Advances. 1(19). 1495–1504. 69 indexed citations
3.
Alshehri, Osama M., Craig E. Hughes, Samantha J. Montague, et al.. (2015). Fibrin activates GPVI in human and mouse platelets. Blood. 126(13). 1601–1608. 167 indexed citations
4.
Dütting, Sebastian, Timo Vögtle, Martina Morowski, et al.. (2013). Growth Factor Receptor–Bound Protein 2 Contributes to (Hem)Immunoreceptor Tyrosine-Based Activation Motif–Mediated Signaling in Platelets. Circulation Research. 114(3). 444–453. 17 indexed citations
5.
Watson, Stephanie K. & Philip E. Carter. (2008). Environmental influences on Acinetobacter sp. strain BD413 transformation in soil. Biology and Fertility of Soils. 45(1). 83–92. 4 indexed citations
6.
Kimpton, C., Nicola J. Oldroyd, Stephanie K. Watson, et al.. (1996). Validation of highly discriminating multiplex short tandem repeat amplification systems for individual identification. Electrophoresis. 17(8). 1283–1293. 83 indexed citations
7.
Oldroyd, Nicola J., Andrew J. Urquhart, C. Kimpton, et al.. (1995). A highly discriminating octoplex short tandem repeat polymerase chain reaction system suitable for human individual identification. Electrophoresis. 16(1). 334–337. 75 indexed citations
8.
Gill, Peter, C. Kimpton, Andrew J. Urquhart, et al.. (1995). Automated short tandem repeat (STR) analysis in forensic casework — a strategy for the future. Electrophoresis. 16(1). 1543–1552. 56 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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