A. Dukler

435 total citations
10 papers, 348 citations indexed

About

A. Dukler is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, A. Dukler has authored 10 papers receiving a total of 348 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Radiology, Nuclear Medicine and Imaging, 4 papers in Molecular Biology and 3 papers in Pathology and Forensic Medicine. Recurrent topics in A. Dukler's work include Monoclonal and Polyclonal Antibodies Research (5 papers), Glycosylation and Glycoproteins Research (4 papers) and Peripheral Neuropathies and Disorders (3 papers). A. Dukler is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (5 papers), Glycosylation and Glycoproteins Research (4 papers) and Peripheral Neuropathies and Disorders (3 papers). A. Dukler collaborates with scholars based in Belgium, France and Canada. A. Dukler's co-authors include Nir Dotan, Mikael Schwarz, Larissa Spector, Rom T. Altstock, Ehud Banin, Yaniv Altshuler, Annie Standaert‐Vitse, Boualem Sendid, Benoît Guéry and Farid Zerimech and has published in prestigious journals such as PLoS ONE, Biochemical Society Transactions and Multiple Sclerosis Journal.

In The Last Decade

A. Dukler

9 papers receiving 337 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
A. Dukler Belgium 6 232 100 91 79 47 10 348
Kabat Ea 7 198 0.9× 52 0.5× 75 0.8× 68 0.9× 27 0.6× 15 324
Cécile Gautier France 7 200 0.9× 31 0.3× 39 0.4× 149 1.9× 52 1.1× 11 394
Suman Bandyopadhyay India 13 223 1.0× 41 0.4× 23 0.3× 247 3.1× 29 0.6× 23 491
Neil Myerscough United Kingdom 9 355 1.5× 120 1.2× 40 0.4× 137 1.7× 62 1.3× 18 461
M. Woisetschläger Austria 10 198 0.9× 65 0.7× 95 1.0× 82 1.0× 29 0.6× 14 325
Tadamune Otsubo Japan 12 232 1.0× 64 0.6× 23 0.3× 85 1.1× 53 1.1× 33 400
Eileen M. McGuffie United States 11 332 1.4× 20 0.2× 48 0.5× 64 0.8× 119 2.5× 11 468
Springer Gf United States 8 174 0.8× 46 0.5× 65 0.7× 105 1.3× 41 0.9× 20 326
Hana Petroková Czechia 11 179 0.8× 29 0.3× 66 0.7× 71 0.9× 20 0.4× 25 336
D. McCool Canada 13 259 1.1× 77 0.8× 55 0.6× 103 1.3× 31 0.7× 14 412

Countries citing papers authored by A. Dukler

Since Specialization
Citations

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

Fields of papers citing papers by A. Dukler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. Dukler

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

All Works

10 of 10 papers shown
1.
Bruyn, Magali de, Erik Martens, Marc Ferrante, et al.. (2019). The Ulcerative Colitis Response Index for Detection of Mucosal Healing in Patients Treated With Anti-tumour Necrosis Factor. Journal of Crohn s and Colitis. 14(2). 176–184. 9 indexed citations
2.
Bruyn, Magali de, Erik Martens, Marc Ferrante, et al.. (2018). OP007 Detection of mucosal healing with a serum marker panel in adalimumab-treated patients with ulcerative colitis. Journal of Crohn s and Colitis. 12(supplement_1). S005–S005. 1 indexed citations
3.
Arrambide, Georgina, Carmen Espejo, Jennifer Yarden, et al.. (2013). Serum Biomarker gMS-Classifier2: Predicting Conversion to Clinically Definite Multiple Sclerosis. PLoS ONE. 8(3). e59953–e59953. 5 indexed citations
4.
Dotan, Nir, et al.. (2009). Anti-α-glucose–based glycan IgM antibodies predict relapse activity in multiple sclerosis after the first neurological event. Multiple Sclerosis Journal. 15(4). 422–430. 29 indexed citations
5.
Sendid, Boualem, Nir Dotan, Saad Nseir, et al.. (2008). Antibodies against Glucan, Chitin, and Saccharomyces cerevisiae Mannan as New Biomarkers of Candida albicans Infection That Complement Tests Based on C. albicans Mannan. Clinical and Vaccine Immunology. 15(12). 1868–1877. 55 indexed citations
6.
Dotan, Nir, et al.. (2006). Anti-Glycan Antibodies as Biomarkers for Diagnosis and Prognosis. Lupus. 15(7). 442–450. 75 indexed citations
7.
Sindic, Christian, et al.. (2005). Anti-Glc(alpha 1,4)Glc(alpha) IgM antibodies for predict the development of relapsing-remitting multiple sclerosis after the first neurological event. 11. 1 indexed citations
9.
Banin, Ehud, et al.. (2002). A Novel Linear Code Nomenclature for Complex Carbohydrates.. Trends in Glycoscience and Glycotechnology. 14(77). 127–137. 66 indexed citations
10.
Dukler, A., et al.. (2002). GlycoChip™ - high throughput technology for screening and analysis of protein-glycan interactions. Biochemical Society Transactions. 30(1). A4–A4. 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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