Jane E. Salmon

1.4k total citations
19 papers, 1.1k citations indexed

About

Jane E. Salmon is a scholar working on Radiology, Nuclear Medicine and Imaging, Immunology and Rheumatology. According to data from OpenAlex, Jane E. Salmon has authored 19 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Radiology, Nuclear Medicine and Imaging, 10 papers in Immunology and 7 papers in Rheumatology. Recurrent topics in Jane E. Salmon's work include Monoclonal and Polyclonal Antibodies Research (14 papers), T-cell and B-cell Immunology (8 papers) and Systemic Lupus Erythematosus Research (7 papers). Jane E. Salmon is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (14 papers), T-cell and B-cell Immunology (8 papers) and Systemic Lupus Erythematosus Research (7 papers). Jane E. Salmon collaborates with scholars based in United States, Germany and South Korea. Jane E. Salmon's co-authors include Luminita Pricop, Jeffrey C. Edberg, Robert P. Kimberly, Patricia Redecha, Jean‐Luc Teillaud, Wolf H. Fridman, Catherine Sautès‐Fridman, Jürgen Frey, Daniel M. Musher and Arthur M.F. Yee and has published in prestigious journals such as Journal of Clinical Investigation, Blood and The Journal of Immunology.

In The Last Decade

Jane E. Salmon

18 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
Jane E. Salmon United States 13 604 511 355 280 142 19 1.1k
Omri Snir Norway 20 741 1.2× 424 0.8× 495 1.4× 227 0.8× 167 1.2× 52 1.6k
Astrid Samuelsson Sweden 7 687 1.1× 478 0.9× 126 0.4× 250 0.9× 336 2.4× 10 1.2k
F. C. Breedveld Netherlands 15 438 0.7× 197 0.4× 518 1.5× 245 0.9× 82 0.6× 34 1.1k
M Akizuki Japan 15 365 0.6× 216 0.4× 393 1.1× 400 1.4× 276 1.9× 47 1.3k
H Einarsdottir Iceland 14 335 0.6× 300 0.6× 168 0.5× 297 1.1× 155 1.1× 27 850
Vijay Joshua Sweden 14 259 0.4× 234 0.5× 692 1.9× 249 0.9× 105 0.7× 35 1.2k
Benjamin A. Fisher United Kingdom 11 274 0.5× 339 0.7× 858 2.4× 193 0.7× 73 0.5× 17 1.3k
Moud R. Habibuw Netherlands 6 387 0.6× 560 1.1× 1.4k 3.8× 166 0.6× 206 1.5× 6 1.8k
Ruth Fritsch‐Stork Austria 23 859 1.4× 167 0.3× 680 1.9× 234 0.8× 153 1.1× 55 1.6k
Els de Groot Netherlands 7 471 0.8× 298 0.6× 339 1.0× 121 0.4× 137 1.0× 8 941

Countries citing papers authored by Jane E. Salmon

Since Specialization
Citations

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

Fields of papers citing papers by Jane E. Salmon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jane E. Salmon. 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 Jane E. Salmon. The network helps show where Jane E. Salmon may publish in the future.

Co-authorship network of co-authors of Jane E. Salmon

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

All Works

19 of 19 papers shown
1.
Branch, D. Ware, Lisa K. Peterson, Marta Guerra, et al.. (2024). Association Between Novel Antiphospholipid Antibodies and Adverse Pregnancy Outcomes. Obstetrics and Gynecology. 145(1). 55–64. 1 indexed citations
2.
Yeoman, Andrew D., et al.. (2020). Introduction of “reflex” AST testing in primary care increases detection of advanced liver disease: the Gwent AST project (GAP). Journal of Hepatology. 73. S19–S19. 7 indexed citations
3.
Schreiber, Karen, Savino Sciascia, Philip G. de Groot, et al.. (2018). Correction: Antiphospholipid syndrome. Nature Reviews Disease Primers. 4(1). 18005–18005. 124 indexed citations
4.
Willis, Rohan, Silvia S. Pierangeli, Troy D. Jaskowski, et al.. (2016). Performance Characteristics of Commercial Immunoassays for the Detection of IgG and IgM Antibodies to β2Glycoprotein I and an Initial Assessment of Newly Developed Reference Materials for Assay Calibration. American Journal of Clinical Pathology. 145(6). 796–805. 9 indexed citations
5.
6.
Redecha, Patricia, et al.. (2005). FcγRIIa is a target for modulation by TNFα in human neutrophils. Clinical Immunology. 117(1). 78–86. 28 indexed citations
7.
Girardi, Guillermina, Jessica Berman, Patricia Redecha, et al.. (2004). Complement C5a receptors and neutrophils mediate fetal injury in the antiphospholipid syndrome. Journal of Clinical Investigation. 113(4). 646–646. 3 indexed citations
8.
9.
Edberg, Jeffrey C., Carl D. Langefeld, Jianming Wu, et al.. (2002). Genetic linkage and association of Fcγ receptor IIIA (CD16A) on chromosome 1q23 with human systemic lupus erythematosus. Arthritis & Rheumatism. 46(8). 2132–2140. 112 indexed citations
10.
Pricop, Luminita, Patricia Redecha, Jean‐Luc Teillaud, et al.. (2001). Differential Modulation of Stimulatory and Inhibitory Fcγ Receptors on Human Monocytes by Th1 and Th2 Cytokines. The Journal of Immunology. 166(1). 531–537. 191 indexed citations
11.
Salmon, Jane E. & Luminita Pricop. (2001). Human receptors for immunoglobulin G: Key elements in the pathogenesis of rheumatic disease. Arthritis & Rheumatism. 44(4). 739–750. 126 indexed citations
12.
Pierangeli, Silvia S., Ricardo Espinola, Xiaowei Liu, E. Nigel Harris, & Jane E. Salmon. (2001). Identification of an Fc? receptor-independent mechanism by which intravenous immunoglobulin ameliorates antiphospholipid antibody-induced thrombogenic phenotype. Arthritis & Rheumatism. 44(4). 876–883. 42 indexed citations
13.
Yee, Arthur M.F., et al.. (2000). Association Between FcγRIIa-R131 Allotype and Bacteremic Pneumococcal Pneumonia. Clinical Infectious Diseases. 30(1). 25–28. 118 indexed citations
14.
Salmon, Jane E., et al.. (1999). Altered distribution of Fc? receptor IIIA alleles in a cohort of Korean patients with lupus nephritis. Arthritis & Rheumatism. 42(4). 818–823. 51 indexed citations
15.
Pricop, Luminita, et al.. (1999). Reactive Oxygen Intermediates Enhance Fcγ Receptor Signaling and Amplify Phagocytic Capacity. The Journal of Immunology. 162(12). 7041–7048. 26 indexed citations
16.
Pricop, Luminita, S. Sean Millard, Scott M. Taylor, et al.. (1998). A Naturally Occurring Mutation in FcγRIIA: A Q to K127 Change Confers Unique IgG Binding Properties to the R131 Allelic Form of the Receptor. Blood. 91(2). 656–662.
17.
Pricop, Luminita, S. Sean Millard, Scott M. Taylor, et al.. (1998). A Naturally Occurring Mutation in FcγRIIA: A Q to K127 Change Confers Unique IgG Binding Properties to the R131 Allelic Form of the Receptor. Blood. 91(2). 656–662. 23 indexed citations
18.
Kimberly, Robert P., Jane E. Salmon, & Jeffrey C. Edberg. (1995). Receptors for immunoglobulin g molecular diversity and implications for disease. Arthritis & Rheumatism. 38(3). 306–314. 111 indexed citations
19.
Chang, David J., et al.. (1995). DIFFERENTIAL REGULATION OF Fcγ RECEPTOR ISOFORMS. American Journal of Therapeutics. 2(10). 777–781. 1 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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