Gerald Münch

13.8k total citations
203 papers, 11.3k citations indexed

About

Gerald Münch is a scholar working on Physiology, Clinical Biochemistry and Molecular Biology. According to data from OpenAlex, Gerald Münch has authored 203 papers receiving a total of 11.3k indexed citations (citations by other indexed papers that have themselves been cited), including 83 papers in Physiology, 77 papers in Clinical Biochemistry and 55 papers in Molecular Biology. Recurrent topics in Gerald Münch's work include Advanced Glycation End Products research (76 papers), Alzheimer's disease research and treatments (69 papers) and Neuroinflammation and Neurodegeneration Mechanisms (37 papers). Gerald Münch is often cited by papers focused on Advanced Glycation End Products research (76 papers), Alzheimer's disease research and treatments (69 papers) and Neuroinflammation and Neurodegeneration Mechanisms (37 papers). Gerald Münch collaborates with scholars based in Australia, Germany and United States. Gerald Münch's co-authors include Reinhard Schinzel, Peter Riederer, Thomas Arendt, Megan L. Steele, Velandai Srikanth, Hans‐Joachim Lüth, Klaus Häger, Lezanne Ooi, Erika Gyengési and Annette Maczurek and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

Gerald Münch

199 papers receiving 11.0k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Gerald Münch 4.1k 3.3k 3.2k 1.9k 1.5k 203 11.3k
Paula I. Moreira 7.3k 1.8× 7.7k 2.4× 892 0.3× 2.0k 1.1× 1.3k 0.9× 236 17.2k
Jin Fu 3.1k 0.8× 3.2k 1.0× 1.2k 0.4× 813 0.4× 1.4k 0.9× 74 8.9k
Liang‐Jun Yan 2.6k 0.6× 4.4k 1.4× 798 0.2× 850 0.5× 665 0.4× 129 9.7k
Gary E. Gibson 5.1k 1.2× 6.2k 1.9× 1.7k 0.5× 1.2k 0.6× 750 0.5× 234 13.5k
Shi Du Yan 7.4k 1.8× 6.1k 1.9× 8.8k 2.8× 2.7k 1.5× 3.4k 2.2× 81 18.8k
Kanwaljit Chopra 2.6k 0.6× 3.1k 0.9× 517 0.2× 1.1k 0.6× 1.4k 0.9× 304 11.9k
Maria S. Santos 3.1k 0.8× 3.8k 1.2× 620 0.2× 750 0.4× 987 0.6× 190 9.0k
Vittorio Calabrese 5.3k 1.3× 8.3k 2.6× 677 0.2× 2.0k 1.1× 557 0.4× 294 18.5k
Gjumrakch Aliev 5.5k 1.3× 5.7k 1.8× 536 0.2× 1.9k 1.0× 474 0.3× 284 13.2k
Jeffrey N. Keller 6.6k 1.6× 7.6k 2.3× 711 0.2× 2.7k 1.5× 686 0.5× 226 17.3k

Countries citing papers authored by Gerald Münch

Since Specialization
Citations

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

Fields of papers citing papers by Gerald Münch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gerald Münch

This figure shows the co-authorship network connecting the top 25 collaborators of Gerald Münch. A scholar is included among the top collaborators of Gerald Münch 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 Gerald Münch. Gerald Münch 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.
4.
Dixon, Katie M., et al.. (2024). Ultraviolet and infrared radiation in Australia: assessing the benefits, risks, and optimal exposure guidelines. Frontiers in Public Health. 12. 1505904–1505904.
5.
Zhou, Xian, et al.. (2023). Neuroinflammation in Alzheimer’s Disease: A Potential Role of Nose-Picking in Pathogen Entry via the Olfactory System?. Biomolecules. 13(11). 1568–1568. 5 indexed citations
6.
Doyle, Kerrie, et al.. (2023). From the Bush to the Brain: Preclinical Stages of Ethnobotanical Anti-Inflammatory and Neuroprotective Drug Discovery—An Australian Example. International Journal of Molecular Sciences. 24(13). 11086–11086. 7 indexed citations
8.
Raju, Ritesh, et al.. (2023). A Method and Formula for the Quantitative Analysis of the Total Bioactivity of Natural Products. International Journal of Molecular Sciences. 24(7). 6850–6850. 5 indexed citations
9.
Niedermayer, Garry, et al.. (2023). Chronic neuroinflammation during aging leads to cholinergic neurodegeneration in the mouse medial septum. Journal of Neuroinflammation. 20(1). 235–235. 9 indexed citations
10.
Liu, Wenjing, Yang Liu, Dennis Chang, et al.. (2022). Protective effect of the curcumin-baicalein combination against macrovascular changes in diabetic angiopathy. Frontiers in Endocrinology. 13. 953305–953305. 12 indexed citations
11.
Kékesi, Orsolya, Huazheng Liang, Gerald Münch, et al.. (2019). The differential impact of acute microglia activation on the excitability of cholinergic neurons in the mouse medial septum. Brain Structure and Function. 224(7). 2297–2309. 12 indexed citations
12.
Newman, Morgan, Giuseppe Verdile, Greg T. Sutherland, et al.. (2016). Evidence For and Against a Pathogenic Role of Reduced γ-Secretase Activity in Familial Alzheimer’s Disease. Journal of Alzheimer s Disease. 52(3). 781–799. 31 indexed citations
13.
Maczurek, Annette, Rebekka Wild, Daunia Laurenti, et al.. (2013). Generation of hydrogen peroxide-resistant murine neuroblastoma cells: a target discovery platform for novel neuroprotective genes. Journal of Neural Transmission. 120(8). 1171–1178. 6 indexed citations
14.
Ravipati, Anjaneya S., Lin Zhang, Sundar Rao Koyyalamudi, et al.. (2012). Antioxidant and anti-inflammatory activities of selected Chinese medicinal plants and their relation with antioxidant content. BMC Complementary and Alternative Medicine. 12(1). 173–173. 275 indexed citations
15.
Srikanth, Velandai, et al.. (2009). Advanced glycation endproducts and their receptor RAGE in Alzheimer's disease. Neurobiology of Aging. 32(5). 763–777. 423 indexed citations
16.
Kuhla, Björn, Hans‐Joachim Lüth, Angela Schmidt, et al.. (2005). Age-dependent changes of glyoxalase I expression in human brain. Neurobiology of Aging. 27(6). 815–822. 77 indexed citations
17.
Münch, Gerald, Jovana Gasic‐Milenkovic, & Thomas Arendt. (2003). Effect of advanced glycation endproducts on cell cycle and their relevance for Alzheimer’s disease. Journal of neural transmission. Supplementum. 63–71. 24 indexed citations
18.
Schinzel, Reinhard, Gerald Münch, A. Heidland, & Katarı́na Šebeková. (2001). Advanced Glycation End Products in End-Stage Renal Disease and Their Removal. ˜The œNephron journals/Nephron journals. 87(4). 295–303. 49 indexed citations
19.
Münch, Gerald, Anne M. Cunningham, Peter Riederer, & Eva Braak. (1998). Advanced glycation endproducts are associated with Hirano bodies in Alzheimer's disease. Brain Research. 796(1-2). 307–310. 46 indexed citations
20.
Münch, Gerald, J Michaelis, Alan R. Hipkiss, et al.. (1997). Influence of advanced glycation end-products and AGE-inhibitors on nucleation-dependent polymerization of β-amyloid peptide. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1360(1). 17–29. 159 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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