Nir Dotan

1.5k total citations
29 papers, 1.3k citations indexed

About

Nir Dotan is a scholar working on Genetics, Immunology and Molecular Biology. According to data from OpenAlex, Nir Dotan has authored 29 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Genetics, 12 papers in Immunology and 7 papers in Molecular Biology. Recurrent topics in Nir Dotan's work include Inflammatory Bowel Disease (14 papers), Immunodeficiency and Autoimmune Disorders (8 papers) and Celiac Disease Research and Management (7 papers). Nir Dotan is often cited by papers focused on Inflammatory Bowel Disease (14 papers), Immunodeficiency and Autoimmune Disorders (8 papers) and Celiac Disease Research and Management (7 papers). Nir Dotan collaborates with scholars based in United States, Israel and Germany. Nir Dotan's co-authors include A. Dukler, Larissa Spector, Rom T. Altstock, Mikael Schwarz, Liesbet Henckaerts, Sofie Joossens, Gert Van Assche, Séverine Vermeire, Marie Joossens and Marc Ferrante and has published in prestigious journals such as Blood, Gastroenterology and PLoS ONE.

In The Last Decade

Nir Dotan

24 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nir Dotan United States 14 699 509 392 389 197 29 1.3k
Rom T. Altstock Israel 8 360 0.5× 247 0.5× 220 0.6× 165 0.4× 95 0.5× 11 669
A. G. Siccardi Italy 15 112 0.2× 153 0.3× 282 0.7× 139 0.4× 119 0.6× 36 827
Tim Bourne United Kingdom 15 208 0.3× 178 0.3× 274 0.7× 748 1.9× 16 0.1× 24 1.4k
Michael T. Bethune United States 20 229 0.3× 468 0.9× 409 1.0× 624 1.6× 826 4.2× 30 1.8k
I‐Ting Chow United States 16 389 0.6× 113 0.2× 243 0.6× 583 1.5× 89 0.5× 27 1.1k
Franklin J. Nouvet United States 9 310 0.4× 213 0.4× 390 1.0× 209 0.5× 24 0.1× 12 853
Edith Mihaesco France 17 71 0.1× 53 0.1× 475 1.2× 437 1.1× 114 0.6× 47 1.1k
Geir Åge Løset Norway 17 50 0.1× 115 0.2× 275 0.7× 310 0.8× 148 0.8× 33 712
Josephine Y. Lee United States 6 232 0.3× 59 0.1× 484 1.2× 343 0.9× 42 0.2× 6 1.3k
Carme Roura‐Mir Spain 19 300 0.4× 149 0.3× 237 0.6× 961 2.5× 4 0.0× 27 1.4k

Countries citing papers authored by Nir Dotan

Since Specialization
Citations

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

Fields of papers citing papers by Nir Dotan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nir Dotan

This figure shows the co-authorship network connecting the top 25 collaborators of Nir Dotan. A scholar is included among the top collaborators of Nir Dotan 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 Nir Dotan. Nir Dotan 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.
Rabey, Jose M., et al.. (2020). Creation of a gene expression classifier for predicting Parkinson’s disease rate of progression. Journal of Neural Transmission. 127(5). 755–762. 6 indexed citations
2.
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
3.
Blank, Miri, Ilan Krause, Nir Dotan, et al.. (2012). Anti-GalNAcβ: A novel anti-glycan autoantibody associated with pregnancy loss in women with antiphospholipid syndrome and in a mouse experimental model. Journal of Autoimmunity. 39(4). 420–427. 6 indexed citations
4.
Rieder, Florian, Rocío López, André Franke, et al.. (2011). Characterization of Changes in Serum Anti-Glycan Antibodies in Crohn's Disease – a Longitudinal Analysis. PLoS ONE. 6(5). e18172–e18172. 27 indexed citations
5.
Metzig, Carola, Ludwig Kappos, CH Polman, et al.. (2011). Predictive nature of IgM anti-α-glucose serum biomarker for relapse activity and EDSS progression in CIS patients: a BENEFIT study analysis. Multiple Sclerosis Journal. 18(7). 966–973. 10 indexed citations
6.
Harrell, Laura, George Weyer, Jennifer Yarden, Nir Dotan, & Stephen B. Hanauer. (2010). T1289 Anti-Glycan Antibodies are Associated With Disabling Disease Course and Complicated Disease Behavior in Patients With Crohn's Disease. Gastroenterology. 138(5). S–529. 2 indexed citations
7.
Brettschneider, Johannes, Troy D. Jaskowski, Hayrettin Tumani, et al.. (2009). Serum anti-GAGA4 IgM antibodies differentiate relapsing remitting and secondary progressive multiple sclerosis from primary progressive multiple sclerosis and other neurological diseases. Journal of Neuroimmunology. 217(1-2). 95–101. 28 indexed citations
8.
Rieder, Florian, Stephan Schleder, Alexandra Wolf, et al.. (2009). Serum anti-glycan antibodies predict complicated Crohnʼs disease behavior. Inflammatory Bowel Diseases. 16(8). 1367–1375. 67 indexed citations
9.
Seow, Cynthia H., Joanne M. Stempak, Wei Xu, et al.. (2009). Novel Anti-Glycan Antibodies Related to Inflammatory Bowel Disease Diagnosis and Phenotype. The American Journal of Gastroenterology. 104(6). 1426–1434. 81 indexed citations
10.
Rieder, Florian, Stephan Schleder, Alexandra Wolf, et al.. (2009). Association of the novel serologic anti-glycan antibodies anti-laminarin and anti-chitin with complicated Crohnʼs disease behavior. Inflammatory Bowel Diseases. 16(2). 263–274. 83 indexed citations
11.
Papp, Mária, I Altorjay, Nir Dotan, et al.. (2008). New Serological Markers for Inflammatory Bowel Disease Are Associated With Earlier Age at Onset, Complicated Disease Behavior, Risk for Surgery, and NOD2/CARD15 Genotype in a Hungarian IBD Cohort. The American Journal of Gastroenterology. 103(3). 665–681. 117 indexed citations
12.
13.
Ferrante, Marc, Liesbet Henckaerts, Marie Joossens, et al.. (2007). New serological markers in inflammatory bowel disease are associated with complicated disease behaviour. Gut. 56(10). 1394–1403. 234 indexed citations
14.
Ferrante, Marc, Marieke Pierik, Liesbet Henckaerts, et al.. (2006). A panel of anti-glycan antibodies (gASCA, ALCA, ACCA and AMCA) in the diagnosis and differential diagnosis of IBD. Ghent University Academic Bibliography (Ghent University). 1 indexed citations
15.
Henckaerts, Liesbet, Marieke Pierik, Karolien Claes, et al.. (2006). Mutations in innate immune receptors modulate the serologic response to microbial antigens in patients with inflammatory bowel disease. Gastroenterology. 130(4). 6 indexed citations
16.
Dotan, Iris, Sigal Fishman, Amir Karban, et al.. (2006). Antibodies Against Laminaribioside and Chitobioside Are Novel Serologic Markers in Crohn’s Disease. Gastroenterology. 131(2). 366–378. 186 indexed citations
17.
Schwarz, Mikael, Larissa Spector, Lea Glass‐Marmor, et al.. (2006). Serum anti-Glc(α1,4)Glc(α) antibodies as a biomarker for relapsing–remitting multiple sclerosis. Journal of the Neurological Sciences. 244(1-2). 59–68. 49 indexed citations
18.
19.
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
20.
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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