David Daikh

8.7k total citations
45 papers, 2.4k citations indexed

About

David Daikh is a scholar working on Rheumatology, Immunology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, David Daikh has authored 45 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Rheumatology, 21 papers in Immunology and 15 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in David Daikh's work include Systemic Lupus Erythematosus Research (21 papers), T-cell and B-cell Immunology (16 papers) and Monoclonal and Polyclonal Antibodies Research (15 papers). David Daikh is often cited by papers focused on Systemic Lupus Erythematosus Research (21 papers), T-cell and B-cell Immunology (16 papers) and Monoclonal and Polyclonal Antibodies Research (15 papers). David Daikh collaborates with scholars based in United States, Germany and Canada. David Daikh's co-authors include David Wofsy, Kenneth J. Scalapino, Jeffrey A. Bluestone, Qizhi Tang, Mark Bonyhadi, P S Linsley, Brian N. Finck, Sindhu R. Johnson, Thomas Dörner and Martin Aringer and has published in prestigious journals such as Cell, The Journal of Experimental Medicine and The Journal of Immunology.

In The Last Decade

David Daikh

45 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Daikh United States 24 1.2k 1.1k 413 377 302 45 2.4k
Hye‐Soon Lee South Korea 31 1.0k 0.8× 1.5k 1.4× 361 0.9× 220 0.6× 152 0.5× 101 2.7k
Graciela S. Alarcón United States 22 1.2k 1.0× 1.3k 1.2× 473 1.1× 247 0.7× 105 0.3× 33 2.6k
Alberto Cauli Italy 31 1.2k 1.0× 1.9k 1.8× 278 0.7× 322 0.9× 160 0.5× 152 2.9k
Pál Soltész Hungary 28 807 0.7× 1.4k 1.3× 184 0.4× 372 1.0× 229 0.8× 80 2.3k
Norberto Ortego‐Centeno Spain 29 1.1k 0.9× 1.1k 1.0× 162 0.4× 578 1.5× 429 1.4× 191 3.0k
Piotr Wiland Poland 28 1.1k 0.9× 1.1k 1.0× 247 0.6× 285 0.8× 85 0.3× 152 2.6k
G. Szegedi Hungary 25 711 0.6× 923 0.9× 177 0.4× 611 1.6× 208 0.7× 79 1.9k
Frances Humby United Kingdom 22 864 0.7× 1.1k 1.0× 233 0.6× 204 0.5× 128 0.4× 60 2.2k
F C Breedveld Netherlands 28 632 0.5× 1.3k 1.3× 215 0.5× 179 0.5× 187 0.6× 74 2.4k
G. Dennis United States 22 1.9k 1.6× 2.1k 1.9× 898 2.2× 432 1.1× 141 0.5× 37 3.6k

Countries citing papers authored by David Daikh

Since Specialization
Citations

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

Fields of papers citing papers by David Daikh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Daikh

This figure shows the co-authorship network connecting the top 25 collaborators of David Daikh. A scholar is included among the top collaborators of David Daikh 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 David Daikh. David Daikh 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.
Tedeschi, Sara K., Sindhu R. Johnson, Dimitrios T. Boumpas, et al.. (2019). Multicriteria decision analysis process to develop new classification criteria for systemic lupus erythematosus. Annals of the Rheumatic Diseases. 78(5). 634–640. 34 indexed citations
2.
Johnson, Sindhu R., Dinesh Khanna, David Daikh, et al.. (2018). Use of Consensus Methodology to Determine Candidate Items for Systemic Lupus Erythematosus Classification Criteria. The Journal of Rheumatology. 46(7). 721–726. 30 indexed citations
5.
Leuchten, Nicolai, Annika Hoyer, Ralph Brinks, et al.. (2017). Performance of Antinuclear Antibodies for Classifying Systemic Lupus Erythematosus: A Systematic Literature Review and Meta‐Regression of Diagnostic Data. Arthritis Care & Research. 70(3). 428–438. 112 indexed citations
6.
Schmajuk, Gabriela, Bimba F. Hoyer, Martin Aringer, et al.. (2017). Multicenter Delphi Exercise to Identify Important Key Items for Classifying Systemic Lupus Erythematosus. Arthritis Care & Research. 70(10). 1488–1494. 39 indexed citations
7.
Andrews, James S., Laura Trupin, Catherine L. Hough, et al.. (2016). Serum biomarkers of inflammation and muscle strength among women with systemic lupus erythematosus. Cytokine. 90. 109–112. 11 indexed citations
8.
Daikh, David, et al.. (2014). Advances in managing ankylosing spondylitis. F1000Prime Reports. 6. 78–78. 21 indexed citations
9.
Yazdany, Jinoos, Gabriela Schmajuk, Mark L. Robbins, et al.. (2013). Choosing wisely: The American College of Rheumatology's top 5 list of things physicians and patients should question. Arthritis Care & Research. 65(3). 329–339. 70 indexed citations
10.
Scalapino, Kenneth J. & David Daikh. (2008). CTLA‐4: a key regulatory point in the control of autoimmune disease. Immunological Reviews. 223(1). 143–155. 143 indexed citations
11.
Bahjat, Frances Rena, Polly Pine, Andrea Reitsma, et al.. (2008). An orally bioavailable spleen tyrosine kinase inhibitor delays disease progression and prolongs survival in murine lupus. Arthritis & Rheumatism. 58(5). 1433–1444. 137 indexed citations
12.
Kinder, Brent W., Harold R. Collard, Laura L. Koth, et al.. (2007). Idiopathic Nonspecific Interstitial Pneumonia. American Journal of Respiratory and Critical Care Medicine. 176(7). 691–697. 242 indexed citations
13.
Buxbaum, James, Peiqing Qian, Benjamin L. Shneider, et al.. (2006). Novel Model of Antigen-Specific Induction of Bile Duct Injury. Gastroenterology. 131(6). 1899–1906. 10 indexed citations
14.
Cunnane, Gaye, Martha L. Warnock, Kenneth H. Fye, & David Daikh. (2002). Accelerated nodulosis and vasculitis following etanercept therapy for rheumatoid arthritis. Arthritis Care & Research. 47(4). 445–449. 76 indexed citations
15.
Wofsy, David & David Daikh. (2002). Treatment of autoimmune diseases by inhibition of T-cell costimulation. Modern Rheumatology. 12(1). 1–4. 10 indexed citations
16.
Daikh, David & David Wofsy. (2001). Cutting Edge: Reversal of Murine Lupus Nephritis with CTLA4Ig and Cyclophosphamide. The Journal of Immunology. 166(5). 2913–2916. 153 indexed citations
17.
Daikh, David & David Wofsy. (2001). Treatment of Autoimmunity by Inhibition of T Cell Costimulation. Advances in experimental medicine and biology. 490. 113–117. 9 indexed citations
18.
Wofsy, David & David Daikh. (1998). 9 Opportunities for future biological therapy in SLE. Baillière s Clinical Rheumatology. 12(3). 529–541. 2 indexed citations
19.
Daikh, David, James Douglass, & John P. Adelman. (1989). Structure and Expression of the Human Motilin Gene. DNA. 8(8). 615–621. 18 indexed citations
20.
Nilaver, Gajanan, et al.. (1988). Heterogeneity of motilin immunoreactivity in mammalian tissue. Synapse. 2(3). 266–275. 13 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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