Jacqueline Sharp

1.2k total citations
22 papers, 881 citations indexed

About

Jacqueline Sharp is a scholar working on Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine and Infectious Diseases. According to data from OpenAlex, Jacqueline Sharp has authored 22 papers receiving a total of 881 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Pulmonary and Respiratory Medicine, 7 papers in Cardiology and Cardiovascular Medicine and 5 papers in Infectious Diseases. Recurrent topics in Jacqueline Sharp's work include Pulmonary Hypertension Research and Treatments (11 papers), Cardiovascular Function and Risk Factors (5 papers) and Clostridium difficile and Clostridium perfringens research (5 papers). Jacqueline Sharp is often cited by papers focused on Pulmonary Hypertension Research and Treatments (11 papers), Cardiovascular Function and Risk Factors (5 papers) and Clostridium difficile and Clostridium perfringens research (5 papers). Jacqueline Sharp collaborates with scholars based in United States, United Kingdom and Australia. Jacqueline Sharp's co-authors include Serpil C. Erzurum, W.H. Wilson Tang, Margaret Park, Samar Farha, Suzy Comhair, Kewal Asosingh, James E. Loyd, James D. Thomas, Deepa George and Ian R. Poxton and has published in prestigious journals such as Circulation, Blood and Biophysical Journal.

In The Last Decade

Jacqueline Sharp

22 papers receiving 865 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jacqueline Sharp United States 13 631 411 146 124 82 22 881
Lívia Jánoskúti Hungary 12 155 0.2× 205 0.5× 146 1.0× 235 1.9× 77 0.9× 14 874
Erwin Robin United States 18 119 0.2× 211 0.5× 178 1.2× 119 1.0× 113 1.4× 33 836
Rachid Mechmèche Tunisia 15 177 0.3× 471 1.1× 88 0.6× 181 1.5× 240 2.9× 81 830
E. Cofrancesco Italy 15 266 0.4× 283 0.7× 55 0.4× 188 1.5× 284 3.5× 47 879
Michel Hanss France 14 291 0.5× 85 0.2× 82 0.6× 104 0.8× 126 1.5× 40 767
Edit Nagy Sweden 15 286 0.5× 467 1.1× 98 0.7× 304 2.5× 199 2.4× 30 763
H Vinazzer Austria 18 188 0.3× 249 0.6× 63 0.4× 170 1.4× 190 2.3× 86 963
R Beckmann Austria 12 128 0.2× 131 0.3× 94 0.6× 187 1.5× 116 1.4× 31 710
L Belloni Italy 16 112 0.2× 87 0.2× 121 0.8× 55 0.4× 82 1.0× 39 668
Bogdan Grigoriu France 15 717 1.1× 49 0.1× 127 0.9× 156 1.3× 265 3.2× 48 1.4k

Countries citing papers authored by Jacqueline Sharp

Since Specialization
Citations

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

Fields of papers citing papers by Jacqueline Sharp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jacqueline Sharp

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

All Works

20 of 20 papers shown
1.
Zhang, Yumeng, et al.. (2024). Tracking flaviviral protease conformational dynamics by tuning single-molecule nanopore tweezers. Biophysical Journal. 124(1). 145–157. 2 indexed citations
2.
Sharp, Jacqueline, et al.. (2024). The Intersection of Chronic Kidney Disease and Depression. Nephrology Nursing Journal. 51(2). 165–165. 1 indexed citations
3.
Farha, Samar, Margaret Park, James D. Thomas, et al.. (2018). Endothelial Phenotype Evoked by Low Dose Carvedilol in Pulmonary Hypertension. Frontiers in Cardiovascular Medicine. 5. 180–180. 3 indexed citations
4.
Farha, Samar, Didem Saygın, Margaret Park, et al.. (2017). Pulmonary arterial hypertension treatment with carvedilol for heart failure: a randomized controlled trial. JCI Insight. 2(16). 62 indexed citations
5.
Saygın, Didem, Kristin B. Highland, Samar Farha, et al.. (2017). Metabolic and Functional Evaluation of the Heart and Lungs in Pulmonary Hypertension by Gated 2‐[18F]‐Fluoro‐2‐deoxy‐D‐glucose Positron Emission Tomography. Pulmonary Circulation. 7(2). 428–438. 38 indexed citations
6.
Park, Jae‐Hyeong, Margaret Park, Samar Farha, et al.. (2015). Impaired Global Right Ventricular Longitudinal Strain Predicts Long-Term Adverse Outcomes in Patients with Pulmonary Arterial Hypertension. Journal of Cardiovascular Ultrasound. 23(2). 91–91. 54 indexed citations
7.
Sharp, Jacqueline, Samar Farha, Margaret Park, et al.. (2014). Coenzyme Q supplementation in pulmonary arterial hypertension. Redox Biology. 2. 884–891. 31 indexed citations
8.
Park, Margaret, Jacqueline Sharp, W.H. Wilson Tang, et al.. (2013). Fasting 2-Deoxy-2-[18F]fluoro- d -glucose Positron Emission Tomography to Detect Metabolic Changes in Pulmonary Arterial Hypertension Hearts over 1 Year. Annals of the American Thoracic Society. 10(1). 1–9. 79 indexed citations
9.
Farha, Samar, Jacqueline Sharp, Kewal Asosingh, et al.. (2012). Mast Cell Number, Phenotype, and Function in Human Pulmonary Arterial Hypertension. Pulmonary Circulation. 2(2). 220–228. 57 indexed citations
10.
Farha, Samar, Kewal Asosingh, Weiling Xu, et al.. (2011). Hypoxia-inducible factors in human pulmonary arterial hypertension: a link to the intrinsic myeloid abnormalities. Blood. 117(13). 3485–3493. 107 indexed citations
11.
Puwanant, Sarinya, Margaret Park, Zoran Popović, et al.. (2010). Ventricular Geometry, Strain, and Rotational Mechanics in Pulmonary Hypertension. Circulation. 121(2). 259–266. 192 indexed citations
12.
Asosingh, Kewal, Micheala A. Aldred, Amit Vasanji, et al.. (2008). Circulating Angiogenic Precursors in Idiopathic Pulmonary Arterial Hypertension. American Journal Of Pathology. 172(3). 615–627. 130 indexed citations
13.
Morris, Kevin, et al.. (1993). Non-cardiac benefits of human recombinant erythropoietin in end stage renal failure and anaemia.. Archives of Disease in Childhood. 69(5). 580–586. 38 indexed citations
14.
Sharp, Jacqueline, et al.. (1989). Analytical methods for detecting chlorsulfuron and metsulfuron methyl. 3 indexed citations
15.
Sharp, Jacqueline. (1988). The cell wall proteins of Clostridium difficile. FEMS Microbiology Letters. 55(1). 99–103. 1 indexed citations
16.
Sharp, Jacqueline & Ian R. Poxton. (1988). The cell wall proteins ofClostridium difficile. FEMS Microbiology Letters. 55(1). 99–103. 11 indexed citations
17.
18.
Sharp, Jacqueline & Ian R. Poxton. (1986). Analysis of the membrane lipocarbohydrate antigen ofClostridium difficileby polyacrylamide gel electrophoresis and immunoblotting. FEMS Microbiology Letters. 34(1). 97–100. 9 indexed citations
19.
Sharp, Jacqueline & Ian R. Poxton. (1985). An immunochemical method for fingerprinting Clostridium difficile. Journal of Immunological Methods. 83(2). 241–248. 13 indexed citations
20.
Sharp, Jacqueline, et al.. (1952). Observations on the Behaviour of Erythroblasts Cultured in Normal and “Pernicious Anaemia” Sera. BMJ. 2(4774). 14–18. 24 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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