Anne Cotleur

1.5k total citations
20 papers, 1.2k citations indexed

About

Anne Cotleur is a scholar working on Immunology, Pathology and Forensic Medicine and Oncology. According to data from OpenAlex, Anne Cotleur has authored 20 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Immunology, 8 papers in Pathology and Forensic Medicine and 8 papers in Oncology. Recurrent topics in Anne Cotleur's work include Multiple Sclerosis Research Studies (8 papers), Immunotherapy and Immune Responses (5 papers) and Chemokine receptors and signaling (4 papers). Anne Cotleur is often cited by papers focused on Multiple Sclerosis Research Studies (8 papers), Immunotherapy and Immune Responses (5 papers) and Chemokine receptors and signaling (4 papers). Anne Cotleur collaborates with scholars based in United States, Japan and United Kingdom. Anne Cotleur's co-authors include Clara M. Pelfrey, Richard M. Ransohoff, Israel Charo, Astrid E. Cardona, Noah Saederup, Makiko Mizutani, Richard A. Rudick, Richard M. Ransohoff, Jar-Chi Lee and Yukio Takeshita and has published in prestigious journals such as The Journal of Immunology, PLoS ONE and The Journal of Urology.

In The Last Decade

Anne Cotleur

20 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
Anne Cotleur United States 14 563 456 265 201 171 20 1.2k
Christian Schläger Germany 6 606 1.1× 589 1.3× 277 1.0× 221 1.1× 182 1.1× 8 1.3k
Annet F. Wierenga‐Wolf Netherlands 21 750 1.3× 367 0.8× 475 1.8× 287 1.4× 181 1.1× 39 1.5k
Mirko Nitsche Germany 14 527 0.9× 681 1.5× 140 0.5× 257 1.3× 195 1.1× 41 1.4k
Peter J. Darlington Canada 18 753 1.3× 257 0.6× 463 1.7× 447 2.2× 215 1.3× 35 1.6k
Andreas Schulte‐Mecklenbeck Germany 19 630 1.1× 282 0.6× 435 1.6× 270 1.3× 177 1.0× 53 1.3k
Ryan C. Winger United States 12 450 0.8× 147 0.3× 254 1.0× 279 1.4× 145 0.8× 25 946
Makiko Mizutani Japan 9 541 1.0× 613 1.3× 98 0.4× 299 1.5× 226 1.3× 24 1.2k
Josefine Radke Germany 18 232 0.4× 352 0.8× 96 0.4× 372 1.9× 132 0.8× 42 1.2k
Andreas Junker Germany 22 433 0.8× 357 0.8× 601 2.3× 759 3.8× 241 1.4× 52 1.9k
Donatella De Feo Switzerland 13 281 0.5× 142 0.3× 188 0.7× 282 1.4× 209 1.2× 19 896

Countries citing papers authored by Anne Cotleur

Since Specialization
Citations

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

Fields of papers citing papers by Anne Cotleur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anne Cotleur

This figure shows the co-authorship network connecting the top 25 collaborators of Anne Cotleur. A scholar is included among the top collaborators of Anne Cotleur 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 Anne Cotleur. Anne Cotleur 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.
Spampinato, Simona Federica, Birgit Obermeier, Anne Cotleur, et al.. (2015). Sphingosine 1 Phosphate at the Blood Brain Barrier: Can the Modulation of S1P Receptor 1 Influence the Response of Endothelial Cells and Astrocytes to Inflammatory Stimuli?. PLoS ONE. 10(7). e0133392–e0133392. 69 indexed citations
2.
Takeshita, Yukio, Birgit Obermeier, Anne Cotleur, et al.. (2014). An in vitro blood–brain barrier model combining shear stress and endothelial cell/astrocyte co-culture. Journal of Neuroscience Methods. 232. 165–172. 53 indexed citations
3.
Gomes, João, Magdy Selim, Anne Cotleur, et al.. (2014). Brain Iron Metabolism and Brain Injury Following Subarachnoid Hemorrhage: iCeFISH-Pilot (CSF Iron in SAH). Neurocritical Care. 21(2). 285–293. 33 indexed citations
4.
Liu, Liping, et al.. (2013). Functional defect of peripheral neutrophils in mice with induced deletion of CXCR2. genesis. 51(8). 587–595. 21 indexed citations
5.
Man, Shumei, Barbara Tucky, Anne Cotleur, et al.. (2012). CXCL12-Induced Monocyte-Endothelial Interactions Promote Lymphocyte Transmigration Across an in Vitro Blood-Brain Barrier. Science Translational Medicine. 4(119). 119ra14–119ra14. 63 indexed citations
6.
Halley, Carmel, Jason M. Lappé, Anne Cotleur, et al.. (2011). Antiinflammatory Autoimmune Cellular Responses to Cardiac Troponin I in Idiopathic Dilated Cardiomyopathy. Journal of Cardiac Failure. 17(5). 359–365. 9 indexed citations
7.
Lappé, Jason M., Clara M. Pelfrey, Anne Cotleur, & W.H. Wilson Tang. (2011). Cellular Proliferative Response to Cardiac Troponin‐I in Patients with Idiopathic Dilated Cardiomyopathy. Clinical and Translational Science. 4(5). 317–322. 5 indexed citations
8.
9.
Cruz, Michelle A., et al.. (2011). Pelvic Organ Distribution of Mesenchymal Stem Cells Injected Intravenously after Simulated Childbirth Injury in Female Rats. Obstetrics and Gynecology International. 2012. 1–7. 48 indexed citations
10.
11.
Saederup, Noah, Astrid E. Cardona, Makiko Mizutani, et al.. (2010). Selective Chemokine Receptor Usage by Central Nervous System Myeloid Cells in CCR2-Red Fluorescent Protein Knock-In Mice. PLoS ONE. 5(10). e13693–e13693. 457 indexed citations
12.
Kantarci, Orhun H., David D. Hebrink, Janet Schaefer-Klein, et al.. (2008). Interferon Gamma Allelic Variants. Archives of Neurology. 65(3). 349–57. 30 indexed citations
13.
Cotleur, Anne, et al.. (2007). Multiple sclerosis patients show sexual dimorphism in cytokine responses to myelin antigens. Journal of Neuroimmunology. 193(1-2). 161–169. 35 indexed citations
14.
Pelfrey, Clara M., et al.. (2006). Immunological studies of mitoxantrone in primary progressive MS. Journal of Neuroimmunology. 175(1-2). 192–199. 12 indexed citations
15.
Pelfrey, Clara M., et al.. (2005). Effects of sex hormones on costimulatory molecule expression in multiple sclerosis. Journal of Neuroimmunology. 167(1-2). 190–203. 10 indexed citations
16.
Rudick, Richard A., et al.. (2005). Longitudinal single-cell cytokine responses reveal recurrent autoimmune myelin reactivity in relapsing-remitting multiple sclerosis patients. Multiple Sclerosis Journal. 11(3). 251–260. 5 indexed citations
17.
Rudick, Richard A., et al.. (2003). Interferon gamma responses to myelin peptides in multiple sclerosis correlate with a new clinical measure of disease progression. Journal of Neuroimmunology. 141(1-2). 132–140. 43 indexed citations
18.
Pelfrey, Clara M., Anne Cotleur, Jar-Chi Lee, & Richard A. Rudick. (2002). Sex differences in cytokine responses to myelin peptides in multiple sclerosis. Journal of Neuroimmunology. 130(1-2). 211–223. 77 indexed citations
19.
Waubant, Emmanuelle, Lauren Gee, Peter Bacchetti, et al.. (2001). Relationship between serum levels of IL-10, MRI activity and interferon beta-1a therapy in patients with relapsing remitting MS. Journal of Neuroimmunology. 112(1-2). 139–145. 53 indexed citations
20.
Pelfrey, Clara M., Richard A. Rudick, Anne Cotleur, et al.. (2000). Quantification of Self-Recognition in Multiple Sclerosis by Single-Cell Analysis of Cytokine Production. The Journal of Immunology. 165(3). 1641–1651. 106 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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