Leanne Clifford

492 total citations
11 papers, 334 citations indexed

About

Leanne Clifford is a scholar working on Biochemistry, Critical Care and Intensive Care Medicine and Emergency Medicine. According to data from OpenAlex, Leanne Clifford has authored 11 papers receiving a total of 334 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Biochemistry, 4 papers in Critical Care and Intensive Care Medicine and 4 papers in Emergency Medicine. Recurrent topics in Leanne Clifford's work include Blood transfusion and management (9 papers), Trauma, Hemostasis, Coagulopathy, Resuscitation (4 papers) and Machine Learning in Healthcare (3 papers). Leanne Clifford is often cited by papers focused on Blood transfusion and management (9 papers), Trauma, Hemostasis, Coagulopathy, Resuscitation (4 papers) and Machine Learning in Healthcare (3 papers). Leanne Clifford collaborates with scholars based in United States, Netherlands and Argentina. Leanne Clifford's co-authors include Daryl J. Kor, Gregory Wilson, Qing Jia, Darrell R. Schroeder, Jyotishman Pathak, Arun Subramanian, Hemang Yadav, Seán Murphy, Mark H. Ereth and Andrew C. Hanson and has published in prestigious journals such as Anesthesiology, Anesthesia & Analgesia and Transfusion.

In The Last Decade

Leanne Clifford

10 papers receiving 334 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Leanne Clifford United States 8 229 155 65 53 50 11 334
Marie Warrer Petersen Denmark 4 207 0.9× 109 0.7× 61 0.9× 58 1.1× 37 0.7× 9 332
Jeffrey Carson United States 4 256 1.1× 142 0.9× 59 0.9× 88 1.7× 39 0.8× 8 347
Helge Schoenfeld Germany 11 172 0.8× 80 0.5× 35 0.5× 98 1.8× 82 1.6× 24 329
Riccardo Abbasciano United Kingdom 10 147 0.6× 127 0.8× 36 0.6× 93 1.8× 77 1.5× 29 402
Susan M. Shea United States 13 146 0.6× 206 1.3× 65 1.0× 56 1.1× 152 3.0× 36 386
Mattias Casutt Switzerland 8 295 1.3× 272 1.8× 53 0.8× 118 2.2× 61 1.2× 14 496
Tudor Vagaonescu United States 9 189 0.8× 86 0.6× 46 0.7× 67 1.3× 33 0.7× 14 423
A Saayman United Kingdom 4 166 0.7× 297 1.9× 56 0.9× 84 1.6× 90 1.8× 12 434
Gerhardus J.A.J.M. Kuiper Netherlands 10 151 0.7× 223 1.4× 31 0.5× 67 1.3× 37 0.7× 18 381
Sameer Rana United States 6 186 0.8× 215 1.4× 53 0.8× 60 1.1× 117 2.3× 8 465

Countries citing papers authored by Leanne Clifford

Since Specialization
Citations

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

Fields of papers citing papers by Leanne Clifford

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leanne Clifford

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

All Works

11 of 11 papers shown
1.
Clifford, Leanne, Qing Jia, Arun Subramanian, et al.. (2017). Risk Factors and Clinical Outcomes Associated with Perioperative Transfusion-associated Circulatory Overload. Anesthesiology. 126(3). 409–418. 46 indexed citations
2.
Jia, Qing, Michael Brown, Leanne Clifford, et al.. (2016). Prophylactic plasma transfusion for surgical patients with abnormal preoperative coagulation tests: a single-institution propensity-adjusted cohort study. The Lancet Haematology. 3(3). e139–e148. 20 indexed citations
3.
Clifford, Leanne, Qing Jia, Hemang Yadav, et al.. (2015). Characterizing the Epidemiology of Perioperative Transfusion-Associated Circulatory Overload. Survey of Anesthesiology. 59(4). 201–202.
4.
Warner, Matthew A., Qing Jia, Leanne Clifford, et al.. (2015). Preoperative platelet transfusions and perioperative red blood cell requirements in patients with thrombocytopenia undergoing noncardiac surgery. Transfusion. 56(3). 682–690. 26 indexed citations
5.
Murphree, Dennis H., et al.. (2015). Ensemble learning approaches to predicting complications of blood transfusion. PubMed. 83. 7222–7225. 17 indexed citations
6.
Murphree, Dennis H., et al.. (2015). Predicting Adverse Reactions to Blood Transfusion. 82–89. 5 indexed citations
7.
Murphree, Dennis H., et al.. (2015). A Clinical Decision Support System for Preventing Adverse Reactions to Blood Transfusion. 100–104. 4 indexed citations
8.
Handlogten, Kathryn S., Gregory Wilson, Leanne Clifford, Gregory A. Nuttall, & Daryl J. Kor. (2014). Brachial Artery Catheterization. Anesthesia & Analgesia. 118(2). 288–295. 24 indexed citations
9.
Clifford, Leanne, Qing Jia, Arun Subramanian, et al.. (2014). Characterizing the Epidemiology of Postoperative Transfusion-related Acute Lung Injury. Anesthesiology. 122(1). 12–20. 69 indexed citations
10.
Clifford, Leanne, Qing Jia, Hemang Yadav, et al.. (2014). Characterizing the Epidemiology of Perioperative Transfusion-associated Circulatory Overload. Anesthesiology. 122(1). 21–28. 87 indexed citations
11.
Clifford, Leanne, Amandeep Singh, Gregory Wilson, et al.. (2012). Electronic health record surveillance algorithms facilitate the detection of transfusion‐related pulmonary complications. Transfusion. 53(6). 1205–1216. 36 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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