Konstantia-Maria Chavele

795 total citations
7 papers, 399 citations indexed

About

Konstantia-Maria Chavele is a scholar working on Immunology, Molecular Biology and Rheumatology. According to data from OpenAlex, Konstantia-Maria Chavele has authored 7 papers receiving a total of 399 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Immunology, 3 papers in Molecular Biology and 2 papers in Rheumatology. Recurrent topics in Konstantia-Maria Chavele's work include T-cell and B-cell Immunology (3 papers), Systemic Lupus Erythematosus Research (2 papers) and Immune Cell Function and Interaction (2 papers). Konstantia-Maria Chavele is often cited by papers focused on T-cell and B-cell Immunology (3 papers), Systemic Lupus Erythematosus Research (2 papers) and Immune Cell Function and Interaction (2 papers). Konstantia-Maria Chavele collaborates with scholars based in United Kingdom, Taiwan and Australia. Konstantia-Maria Chavele's co-authors include Michael R. Ehrenstein, Eve Merry, Charles D. Pusey, H. Terence Cook, Alan D. Salama, Mark Lazarus, Tabitha Turner‐Stokes, David Isenberg, Catherine Evans and Ruth J. Pepper and has published in prestigious journals such as Journal of Clinical Investigation, The Journal of Immunology and FEBS Letters.

In The Last Decade

Konstantia-Maria Chavele

7 papers receiving 395 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Konstantia-Maria Chavele United Kingdom 6 266 122 75 61 42 7 399
M Togashi Japan 10 204 0.8× 150 1.2× 125 1.7× 37 0.6× 42 1.0× 29 417
Takayoshi Morita Japan 10 257 1.0× 98 0.8× 58 0.8× 31 0.5× 16 0.4× 22 408
P Bini Italy 8 193 0.7× 153 1.3× 90 1.2× 93 1.5× 74 1.8× 11 428
Tineke Kraaij Netherlands 11 368 1.4× 242 2.0× 127 1.7× 152 2.5× 100 2.4× 22 535
Pilar Nozal Spain 13 309 1.2× 57 0.5× 83 1.1× 29 0.5× 24 0.6× 40 433
Maud Racapé France 10 230 0.9× 132 1.1× 60 0.8× 19 0.3× 60 1.4× 19 576
Rie Masai Japan 10 159 0.6× 146 1.2× 161 2.1× 95 1.6× 20 0.5× 25 509
B. Sean Carey United Kingdom 9 278 1.0× 54 0.4× 79 1.1× 20 0.3× 24 0.6× 20 507
Christine Deppong United States 11 453 1.7× 39 0.3× 46 0.6× 23 0.4× 21 0.5× 14 529
Willeke E.M. Schroeijers Netherlands 13 262 1.0× 37 0.3× 65 0.9× 48 0.8× 34 0.8× 15 409

Countries citing papers authored by Konstantia-Maria Chavele

Since Specialization
Citations

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

Fields of papers citing papers by Konstantia-Maria Chavele

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Konstantia-Maria Chavele. 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 Konstantia-Maria Chavele. The network helps show where Konstantia-Maria Chavele may publish in the future.

Co-authorship network of co-authors of Konstantia-Maria Chavele

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

All Works

7 of 7 papers shown
1.
Quon, Doris, Jiaan‐Der Wang, Michael Wang, et al.. (2024). Outcomes and management of invasive procedures in participants with hemophilia A post gene therapy: a post hoc analysis of the GENEr8-1 phase III trial. Therapeutic Advances in Hematology. 15. 1574222405–1574222405. 1 indexed citations
2.
Chavele, Konstantia-Maria, Eve Merry, & Michael R. Ehrenstein. (2015). Cutting Edge: Circulating Plasmablasts Induce the Differentiation of Human T Follicular Helper Cells via IL-6 Production. The Journal of Immunology. 194(6). 2482–2485. 103 indexed citations
3.
Chavele, Konstantia-Maria, et al.. (2013). B cell resistance to Fas-mediated apoptosis contributes to their ineffective control by regulatory T cells in rheumatoid arthritis. Annals of the Rheumatic Diseases. 74(1). 294–302. 33 indexed citations
4.
Pepper, Ruth J., Sally Hamour, Konstantia-Maria Chavele, et al.. (2013). Leukocyte and serum S100A8/S100A9 expression reflects disease activity in ANCA-associated vasculitis and glomerulonephritis. Kidney International. 83(6). 1150–1158. 76 indexed citations
5.
Lazarus, Mark, Tabitha Turner‐Stokes, Konstantia-Maria Chavele, David Isenberg, & Michael R. Ehrenstein. (2012). B-cell numbers and phenotype at clinical relapse following rituximab therapy differ in SLE patients according to anti-dsDNA antibody levels. Lara D. Veeken. 51(7). 1208–1215. 57 indexed citations
6.
Chavele, Konstantia-Maria & Michael R. Ehrenstein. (2011). Regulatory T‐cells in systemic lupus erythematosus and rheumatoid arthritis. FEBS Letters. 585(23). 3603–3610. 82 indexed citations
7.
Chavele, Konstantia-Maria, Luisa Martı́nez-Pomares, Jan Domin, et al.. (2010). Mannose receptor interacts with Fc receptors and is critical for the development of crescentic glomerulonephritis in mice. Journal of Clinical Investigation. 120(5). 1469–1478. 47 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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