Michael Bacher

9.9k total citations · 2 hit papers
131 papers, 8.2k citations indexed

About

Michael Bacher is a scholar working on Immunology, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, Michael Bacher has authored 131 papers receiving a total of 8.2k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Immunology, 33 papers in Cellular and Molecular Neuroscience and 24 papers in Physiology. Recurrent topics in Michael Bacher's work include Macrophage Migration Inhibitory Factor (52 papers), Nuclear Receptors and Signaling (26 papers) and Alzheimer's disease research and treatments (22 papers). Michael Bacher is often cited by papers focused on Macrophage Migration Inhibitory Factor (52 papers), Nuclear Receptors and Signaling (26 papers) and Alzheimer's disease research and treatments (22 papers). Michael Bacher collaborates with scholars based in Germany, United States and Australia. Michael Bacher's co-authors include Christine N. Metz, Richard Bucala, Jason Chesney, Thierry Calandra, Thomas M. Donnelly, Andreas Meinhardt, Diethard Gemsa, Jürgen Bernhagen, Richard Bucala and Hui Y. Lan and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Michael Bacher

124 papers receiving 8.0k citations

Hit Papers

MIF as a glucocorticoid-induced modulator of cytokine pro... 1995 2026 2005 2015 1995 1996 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
Michael Bacher Germany 49 4.9k 1.9k 1.3k 930 604 131 8.2k
Michael R. Blackburn United States 61 2.1k 0.4× 489 0.3× 3.0k 2.3× 1.3k 1.4× 686 1.1× 191 10.3k
Mitsuhiro Ohta Japan 42 682 0.1× 860 0.4× 1.5k 1.2× 822 0.9× 309 0.5× 254 6.5k
Lina Wang China 45 1.1k 0.2× 428 0.2× 3.4k 2.7× 737 0.8× 509 0.8× 273 7.1k
Guangwei Liu China 44 2.8k 0.6× 257 0.1× 2.2k 1.7× 568 0.6× 302 0.5× 167 5.9k
Zhiyuan Zhang China 40 763 0.2× 407 0.2× 2.1k 1.7× 648 0.7× 512 0.8× 220 5.0k
Raouf A. Khalil United States 62 2.0k 0.4× 381 0.2× 3.2k 2.5× 2.3k 2.4× 199 0.3× 191 13.4k
Jan Damoiseaux Netherlands 53 4.0k 0.8× 234 0.1× 1.5k 1.2× 984 1.1× 526 0.9× 301 10.2k
Peter A. Friedman United States 51 1.3k 0.3× 676 0.4× 4.4k 3.5× 653 0.7× 128 0.2× 203 8.4k
Robert L. Reddick United States 44 1.9k 0.4× 340 0.2× 2.3k 1.8× 1.0k 1.1× 209 0.3× 148 8.9k
Toshiyuki Matsuoka Japan 37 1.2k 0.3× 500 0.3× 1.7k 1.3× 1.0k 1.1× 103 0.2× 147 6.9k

Countries citing papers authored by Michael Bacher

Since Specialization
Citations

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

Fields of papers citing papers by Michael Bacher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Bacher

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Bacher. A scholar is included among the top collaborators of Michael Bacher 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 Michael Bacher. Michael Bacher 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.
Noelker, Carmen, Florian Seitz, Frauke Neff, et al.. (2025). Autoantibodies against α-synuclein inhibit its aggregation and cytotoxicity. Journal of Autoimmunity. 152. 103390–103390.
2.
Bowman, Gene L., Loı̈c Dayon, Richard Kirkland, et al.. (2018). Blood‐brain barrier breakdown, neuroinflammation, and cognitive decline in older adults. Alzheimer s & Dementia. 14(12). 1640–1650. 225 indexed citations
3.
Popp, Julius, Aikaterini Oikonomidi, Loı̈c Dayon, et al.. (2017). Markers of neuroinflammation associated with Alzheimer’s disease pathology in older adults. Brain Behavior and Immunity. 62. 203–211. 102 indexed citations
4.
Nazem, Amir, Roman Sankowski, Michael Bacher, & Yousef Al‐Abed. (2015). Rodent models of neuroinflammation for Alzheimer’s disease. Journal of Neuroinflammation. 12(1). 74–74. 191 indexed citations
5.
Bacher, Michael, et al.. (2012). Cytomegalovirus Upregulates Vascular Endothelial Growth Factor and Its Second Cellular Kinase Domain Receptor in Human Fibroblasts. Viral Immunology. 25(5). 360–367. 5 indexed citations
6.
Du, Yansheng, et al.. (2012). Immunotherapy in prion disease. Nature Reviews Neurology. 9(2). 98–105. 34 indexed citations
7.
Dodel, Richard, B. Karthikeyan, Kathy Keyvani, et al.. (2011). Naturally occurring autoantibodies against beta-amyloid: investigating their role in transgenic animal and in vitro models of Alzheimer's disease. PMC. 42 indexed citations
8.
Deuster, Oliver, Carmen Noelker, Carsten Stüer, et al.. (2011). Role of macrophage migration inhibitory factor in primary glioblastoma multiforme cells. Journal of Neuroscience Research. 89(5). 711–717. 33 indexed citations
9.
Dodel, Richard, B. Karthikeyan, Kathy Keyvani, et al.. (2011). Naturally Occurring Autoantibodies against β-Amyloid: Investigating Their Role in Transgenic Animal andIn VitroModels of Alzheimer's Disease. Journal of Neuroscience. 31(15). 5847–5854. 103 indexed citations
10.
Debus, A., Michael Bacher, Andrew Ball, et al.. (2010). Exomars 2018 Rover Pasteur Payload Sample Analysis. cosp. 38. 2. 1 indexed citations
11.
Bacher, Michael, et al.. (2010). The rebuilding of the ventilation cavernat the Tauern Tunnel /. Geomechanics and Tunnelling. 3(4). 355–364. 1 indexed citations
12.
Frascaroli, Giada, Stefania Varani, Michael Bacher, et al.. (2009). Human Cytomegalovirus Paralyzes Macrophage Motility through Down-Regulation of Chemokine Receptors, Reorganization of the Cytoskeleton, and Release of Macrophage Migration Inhibitory Factor. The Journal of Immunology. 182(1). 477–488. 58 indexed citations
13.
Zhao, Guisen, et al.. (2009). I. Functional Properties of Isolated Stroma and Epithelium from Rat Ventral Prostate during Androgen Deprivation and Estrogen Treatment. Experimental and Clinical Endocrinology & Diabetes. 101(2). 69–77. 1 indexed citations
14.
Bacher, Michael, et al.. (2009). II. Stromal and Epithelial Cells from Rat Ventral Prostate during Androgen Deprivation and Estrogen Treatment — Regulation of Transcription. Experimental and Clinical Endocrinology & Diabetes. 101(2). 78–86. 3 indexed citations
15.
Popp, Julius, Michael Bacher, Heike Kölsch, et al.. (2008). Macrophage migration inhibitory factor in mild cognitive impairment and Alzheimer’s disease. Journal of Psychiatric Research. 43(8). 749–753. 70 indexed citations
16.
Bach, Jan‐Philipp, et al.. (2008). Role of MIF in Inflammation and Tumorigenesis. Oncology. 75(3-4). 127–133. 110 indexed citations
17.
Bojunga, Jörg, Klaus Kusterer, Michael Bacher, et al.. (2003). Macrophage migration inhibitory factor and development of type-1 diabetes in non-obese diabetic mice. Cytokine. 21(4). 179–186. 32 indexed citations
18.
Wennemuth, Gunther, Gerhard Aumüller, Michael Bacher, & Andreas Meinhardt. (2000). Macrophage Migration Inhibitory Factor-Induced Ca2+ Response in Rat Testicular Peritubular Cells1. Biology of Reproduction. 62(6). 1632–1639. 23 indexed citations
20.
Kiefer, Paul, Michael Bacher, & Karl-Heinz Pflüger. (1994). Relationship of Calcitonin mRNA Expression to the Differentiation State HL 60 Cells. Leukemia & lymphoma. 13(5-6). 501–507. 3 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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