Ilse Bartke

2.9k total citations · 1 hit paper
15 papers, 2.5k citations indexed

About

Ilse Bartke is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Developmental Neuroscience. According to data from OpenAlex, Ilse Bartke has authored 15 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cellular and Molecular Neuroscience, 6 papers in Molecular Biology and 6 papers in Developmental Neuroscience. Recurrent topics in Ilse Bartke's work include Nerve injury and regeneration (8 papers), Neurogenesis and neuroplasticity mechanisms (6 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). Ilse Bartke is often cited by papers focused on Nerve injury and regeneration (8 papers), Neurogenesis and neuroplasticity mechanisms (6 papers) and Monoclonal and Polyclonal Antibodies Research (4 papers). Ilse Bartke collaborates with scholars based in Germany, United States and Austria. Ilse Bartke's co-authors include Roland Kolbeck, Yves‐Alain Barde, Martin Kerschensteiner, Hartmut Wekerle, Christine Stadelmann, Eike Gallmeier, Edmund Hoppe, Thomas Misgeld, Hans Lassmann and Wolfgang E. F. Klinkert and has published in prestigious journals such as Nature, The Journal of Experimental Medicine and Journal of Neuroscience.

In The Last Decade

Ilse Bartke

15 papers receiving 2.4k citations

Hit Papers

Activated Human T Cells, B Cells, and Monocytes Produce B... 1999 2026 2008 2017 1999 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ilse Bartke Germany 13 1.1k 716 676 428 387 15 2.5k
I. K. Hart United Kingdom 21 801 0.7× 1.2k 1.6× 797 1.2× 337 0.8× 240 0.6× 38 3.5k
Danielle Pham-Dinh France 27 833 0.8× 1.4k 1.9× 970 1.4× 631 1.5× 611 1.6× 40 3.3k
Emma E. Frost United States 22 449 0.4× 658 0.9× 782 1.2× 328 0.8× 254 0.7× 41 1.8k
Carla Taveggia Italy 27 1.6k 1.4× 1.0k 1.4× 900 1.3× 292 0.7× 149 0.4× 44 2.7k
Pascale Durbec France 32 1.5k 1.4× 2.0k 2.8× 1.7k 2.5× 409 1.0× 201 0.5× 59 4.3k
Surindar S. Cheema Australia 33 1.4k 1.3× 1.4k 1.9× 632 0.9× 433 1.0× 393 1.0× 65 3.5k
Michael R. Bösl Germany 25 694 0.6× 1.5k 2.1× 323 0.5× 204 0.5× 190 0.5× 37 3.3k
Peter H. Larsen Canada 19 433 0.4× 762 1.1× 244 0.4× 360 0.8× 190 0.5× 28 2.1k
Keling Zang United States 23 1.7k 1.6× 1.6k 2.2× 856 1.3× 266 0.6× 102 0.3× 27 3.8k
Giorgia Dina Italy 21 1.2k 1.1× 1.1k 1.5× 762 1.1× 513 1.2× 186 0.5× 32 2.5k

Countries citing papers authored by Ilse Bartke

Since Specialization
Citations

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

Fields of papers citing papers by Ilse Bartke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ilse Bartke

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

All Works

15 of 15 papers shown
1.
Giehl, Klaus M., Ilse Bartke, Yan Qiao, et al.. (2001). Endogenous Brain-Derived Neurotrophic Factor and Neurotrophin-3 Antagonistically Regulate Survival of Axotomized Corticospinal NeuronsIn Vivo. Journal of Neuroscience. 21(10). 3492–3502. 85 indexed citations
2.
Villoslada, Pablo, Stephen L. Hauser, Ilse Bartke, et al.. (2000). Human Nerve Growth Factor Protects Common Marmosets against Autoimmune Encephalomyelitis by Switching the Balance of T Helper Cell Type 1 and 2 Cytokines within the Central Nervous System. The Journal of Experimental Medicine. 191(10). 1799–1806. 203 indexed citations
3.
Kolbeck, Roland, et al.. (1999). Brain‐Derived Neurotrophic Factor Levels in the Nervous System of Wild‐Type and Neurotrophin Gene Mutant Mice. Journal of Neurochemistry. 72(5). 1930–1938. 118 indexed citations
4.
Kerschensteiner, Martin, Eike Gallmeier, Thomas Misgeld, et al.. (1999). Activated Human T Cells, B Cells, and Monocytes Produce Brain-derived Neurotrophic Factor In Vitro and in Inflammatory Brain Lesions: A Neuroprotective Role of Inflammation?. The Journal of Experimental Medicine. 189(5). 865–870. 847 indexed citations breakdown →
5.
Besenfelder, U., Adelbert Grossmann, Maciej Woźny, et al.. (1999). Human nerve growth factor beta (hNGF‐β): mammary gland specific expression and production in transgenic rabbits. FEBS Letters. 444(1). 111–116. 24 indexed citations
6.
Villoslada, Pablo, et al.. (1998). Nerve growth factor prevents inflammation and demyelination in a non human model of multiple sclerosis. Journal of Neuroimmunology. 90(1). 55–55. 2 indexed citations
7.
Laurie, David, Ilse Bartke, Ralf Schoepfer, Kurt Naujoks, & Peter H. Seeburg. (1997). Regional, developmental and interspecies expression of the four NMDAR2 subunits, examined using monoclonal antibodies. Molecular Brain Research. 51(1-2). 23–32. 196 indexed citations
8.
Bosserhoff, Anja‐Katrin, M Kaufmann, Brigitte Kaluza, et al.. (1997). Melanoma-inhibiting activity, a novel serum marker for progression of malignant melanoma.. PubMed. 57(15). 3149–53. 186 indexed citations
9.
Unger, J., et al.. (1995). Effect of nerve growth factor on peptide neurons in dorsal root ganglia after taxol or cisplatin treatment and in diabetic (db/db) mice. Experimental Neurology. 132(1). 16–23. 68 indexed citations
10.
Bohuslav, Jan, Cornelia Hansmann, Johannes Stöckl, et al.. (1995). Urokinase plasminogen activator receptor, beta 2-integrins, and Src-kinases within a single receptor complex of human monocytes.. The Journal of Experimental Medicine. 181(4). 1381–1390. 316 indexed citations
11.
Barres, Ben A., et al.. (1994). A crucial role for neurotrophin-3 in oligodendrocyte development. Nature. 367(6461). 371–375. 301 indexed citations
12.
Hanemann, C. Oliver, Guido Stoll, Donatella D’Urso, et al.. (1994). Peripheral myelin protein‐22 expression in charcot‐marie‐tooth disease type 1a sural nerve biopsies. Journal of Neuroscience Research. 37(5). 654–659. 60 indexed citations
13.
Bühring, Hans‐Jörg, Ronald Herbst, Birgit Bossenmaier, et al.. (1993). Modulation of p145c-kit function in cells of patients with acute myeloblastic leukemia.. PubMed. 53(18). 4424–31. 16 indexed citations
14.
Reisbach, G., Ilse Bartke, Bettina Kempkes, et al.. (1993). Characterization of hemopoietic cell populations from human cord blood expressing c-kit.. PubMed. 21(1). 74–9. 42 indexed citations
15.
Mäder, Michael, J. Unger, Ilse Bartke, et al.. (1992). Characterization of Mono‐ and Polyclonal Antibodies Against Highly Purified Choline Acetyltransferase: A Monoclonal Antibody Shows Reactivity in Human Brain. Journal of Neurochemistry. 58(3). 1060–1065. 8 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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