P. J. Simpson‐Haidaris

1.0k total citations
17 papers, 776 citations indexed

About

P. J. Simpson‐Haidaris is a scholar working on Pulmonary and Respiratory Medicine, Infectious Diseases and Epidemiology. According to data from OpenAlex, P. J. Simpson‐Haidaris has authored 17 papers receiving a total of 776 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Pulmonary and Respiratory Medicine, 5 papers in Infectious Diseases and 5 papers in Epidemiology. Recurrent topics in P. J. Simpson‐Haidaris's work include Blood properties and coagulation (7 papers), Pneumocystis jirovecii pneumonia detection and treatment (3 papers) and Platelet Disorders and Treatments (2 papers). P. J. Simpson‐Haidaris is often cited by papers focused on Blood properties and coagulation (7 papers), Pneumocystis jirovecii pneumonia detection and treatment (3 papers) and Platelet Disorders and Treatments (2 papers). P. J. Simpson‐Haidaris collaborates with scholars based in United States, France and Netherlands. P. J. Simpson‐Haidaris's co-authors include Brian J. Rybarczyk, C. W. Francis, Sangita Sahni, Abha Sahni, Gayle G. Vaday, Jacqueline Abranches, F Gigliotti, Constantine G. Haidaris, Jane L. Liesveld and Alejandro Avilés-Reyes and has published in prestigious journals such as Blood, Annals of the New York Academy of Sciences and Infection and Immunity.

In The Last Decade

P. J. Simpson‐Haidaris

17 papers receiving 764 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
P. J. Simpson‐Haidaris United States 12 255 208 155 153 106 17 776
P Fouret France 15 257 1.0× 229 1.1× 158 1.0× 228 1.5× 130 1.2× 38 777
Shogo Banno Japan 19 275 1.1× 270 1.3× 148 1.0× 224 1.5× 33 0.3× 91 1.1k
Jaime Shamonki United States 15 402 1.6× 94 0.5× 114 0.7× 714 4.7× 301 2.8× 27 1.5k
E Heid France 17 271 1.1× 92 0.4× 260 1.7× 247 1.6× 18 0.2× 101 1.3k
Tadao K. Kobayashi Japan 23 221 0.9× 311 1.5× 420 2.7× 164 1.1× 135 1.3× 148 1.6k
Anna E. Kossakowska Canada 13 384 1.5× 184 0.9× 138 0.9× 276 1.8× 237 2.2× 22 1.1k
Alberto Fernández de Sevilla Spain 19 743 2.9× 94 0.5× 278 1.8× 197 1.3× 34 0.3× 51 1.4k
Sayuri Miyauchi United States 17 358 1.4× 104 0.5× 155 1.0× 348 2.3× 151 1.4× 37 1.0k
Edgardo Reyes Mexico 17 326 1.3× 56 0.3× 160 1.0× 144 0.9× 30 0.3× 40 846
Abdul‐Ghani Kibbi Lebanon 22 137 0.5× 95 0.5× 264 1.7× 192 1.3× 25 0.2× 65 1.1k

Countries citing papers authored by P. J. Simpson‐Haidaris

Since Specialization
Citations

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

Fields of papers citing papers by P. J. Simpson‐Haidaris

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by P. J. Simpson‐Haidaris. 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 P. J. Simpson‐Haidaris. The network helps show where P. J. Simpson‐Haidaris may publish in the future.

Co-authorship network of co-authors of P. J. Simpson‐Haidaris

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

All Works

17 of 17 papers shown
1.
Siebert, Aisha L., et al.. (2019). Parasitoid wasp venom elevates sorbitol and alters expression of metabolic genes in human kidney cells. Toxicon. 161. 57–64. 3 indexed citations
2.
Freires, Irlan Almeida, Alejandro Avilés-Reyes, Todd Kitten, et al.. (2016). Heterologous expression ofStreptococcus mutansCnm inLactococcus lactispromotes intracellular invasion, adhesion to human cardiac tissues and virulence. Virulence. 8(1). 18–29. 24 indexed citations
3.
Avilés-Reyes, Alejandro, James E. Miller, P. J. Simpson‐Haidaris, José A. Lemos, & Jacqueline Abranches. (2013). Cnm is a major virulence factor of invasiveStreptococcus mutansand part of a conserved three-gene locus. Molecular Oral Microbiology. 29(1). 11–23. 29 indexed citations
4.
Simpson‐Haidaris, P. J., Stephen J. Pollock, Sesquile Ramon, et al.. (2010). Anticancer Role of PPARγAgonists in Hematological Malignancies Found in the Vasculature, Marrow, and Eyes. PPAR Research. 2010. 1–36. 14 indexed citations
5.
Abranches, Jacqueline, Lin Zeng, Myriam Bélanger, et al.. (2009). Invasion of human coronary artery endothelial cells by Streptococcus mutans OMZ175. Oral Microbiology and Immunology. 24(2). 141–145. 64 indexed citations
6.
Sahni, Abha, P. J. Simpson‐Haidaris, Sangita Sahni, Gayle G. Vaday, & C. W. Francis. (2008). Fibrinogen synthesized by cancer cells augments the proliferative effect of fibroblast growth factor‐2 (FGF‐2). Journal of Thrombosis and Haemostasis. 6(1). 176–183. 186 indexed citations
7.
Mosesson, Michael W., Irene Hernández, Thomas J. Raife, et al.. (2006). Plasma fibrinogen γ′ chain content in the thrombotic microangiopathy syndrome. Journal of Thrombosis and Haemostasis. 5(1). 62–69. 24 indexed citations
8.
Sahni, Abha, Sangita Sahni, P. J. Simpson‐Haidaris, & C. W. Francis. (2004). Fibrinogen binding potentiates FGF‐2 but not VEGF induced expression of u‐PA, u‐PAR, and PAI‐1 in endothelial cells. Journal of Thrombosis and Haemostasis. 2(9). 1629–1636. 22 indexed citations
9.
Simpson‐Haidaris, P. J. & Brian J. Rybarczyk. (2001). Tumors and Fibrinogen. Annals of the New York Academy of Sciences. 936(1). 406–425. 231 indexed citations
10.
Rybarczyk, Brian J., M E Pereira, & P. J. Simpson‐Haidaris. (2000). Characterization of a Monoclonal Antibody, D73H, that Maps to a Highly Conserved Region on Fibrinogen Bβ Chain. Thrombosis and Haemostasis. 84(7). 43–48. 4 indexed citations
11.
12.
Simpson‐Haidaris, P. J., et al.. (1998). 43. Fibrinogen assembly in extracellular matrix is heparan sulfate proteoglycan-dependent. Blood Coagulation & Fibrinolysis. 9(7). 690–690. 2 indexed citations
13.
Simpson‐Haidaris, P. J., et al.. (1996). Thrombin cleavage enhances exposure of a heparin binding domain in the N-terminus of the fibrin beta chain. Blood. 88(6). 2050–2061. 63 indexed citations
14.
Simpson‐Haidaris, P. J., et al.. (1994). Cloning of the complete coding sequence of rat fibrinogen B beta chain cDNA: interspecies conservation of fibrin beta 15-42 primary structure.. PubMed. 5(4). 487–96. 12 indexed citations
15.
Liesveld, Jane L., et al.. (1994). Mechanisms of cytopenia in human immunodeficiency virus infection. Blood Reviews. 8(4). 241–251. 49 indexed citations
16.
Wright, Terry W., et al.. (1994). Conserved sequence homology of cysteine-rich regions in genes encoding glycoprotein A in Pneumocystis carinii derived from different host species. Infection and Immunity. 62(5). 1513–1519. 40 indexed citations
17.
Gigliotti, F, et al.. (1992). Molecular cloning and characterization of ferret Pneumocystis carinii gp120.. PubMed. 38(6). 5S–6S. 5 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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