Michael Melcher

2.0k total citations
40 papers, 1.3k citations indexed

About

Michael Melcher is a scholar working on Molecular Biology, Archeology and Earth-Surface Processes. According to data from OpenAlex, Michael Melcher has authored 40 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 7 papers in Archeology and 6 papers in Earth-Surface Processes. Recurrent topics in Michael Melcher's work include Viral Infectious Diseases and Gene Expression in Insects (14 papers), Cultural Heritage Materials Analysis (7 papers) and Building materials and conservation (6 papers). Michael Melcher is often cited by papers focused on Viral Infectious Diseases and Gene Expression in Insects (14 papers), Cultural Heritage Materials Analysis (7 papers) and Building materials and conservation (6 papers). Michael Melcher collaborates with scholars based in Austria, Germany and United States. Michael Melcher's co-authors include Manfred Schreiner, Christa Schleper, Michaela Stieglmeier, Simon K.‐M. R. Rittmann, Ricardo Eloy Alves, Andreas Klingl, Nikolaus Leisch, Friedrich Leisch, Melina Kerou and Sophie S. Abby and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Accounts of Chemical Research and Scientific Reports.

In The Last Decade

Michael Melcher

39 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Melcher Austria 21 483 356 228 212 195 40 1.3k
Shanshan Meng China 18 61 0.1× 228 0.6× 16 0.1× 28 0.1× 157 0.8× 49 1.0k
Weizhen Wang China 24 299 0.6× 306 0.9× 35 0.2× 32 0.2× 16 0.1× 121 2.9k
Subarna Bhattacharyya India 17 67 0.1× 108 0.3× 5 0.0× 27 0.1× 179 0.9× 52 855
Qiao Chen China 20 169 0.3× 265 0.7× 6 0.0× 12 0.1× 32 0.2× 78 1.0k
Guilin Liu China 20 209 0.4× 306 0.9× 6 0.0× 24 0.1× 22 0.1× 72 1.3k
Jakub Ondráček Czechia 20 56 0.1× 9 0.0× 21 0.1× 48 0.2× 95 0.5× 81 1.5k
Shen-En Chen United States 23 97 0.2× 43 0.1× 5 0.0× 52 0.2× 52 0.3× 126 1.7k
Wenfeng Wang China 23 22 0.0× 86 0.2× 3 0.0× 31 0.1× 237 1.2× 119 1.7k
Ling China 15 304 0.6× 126 0.4× 5 0.0× 16 0.1× 34 0.2× 242 1.3k

Countries citing papers authored by Michael Melcher

Since Specialization
Citations

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

Fields of papers citing papers by Michael Melcher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Melcher

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Melcher. A scholar is included among the top collaborators of Michael Melcher 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 Melcher. Michael Melcher 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.
Melcher, Michael, Melina Kerou, Wei‐Qiang Chen, et al.. (2023). Unexpected complexity of the ammonia monooxygenase in archaea. The ISME Journal. 17(4). 588–599. 23 indexed citations
2.
Melcher, Michael, et al.. (2023). Analysis of biomass productivity and physiology of Nitrososphaera viennensis grown in continuous culture. Frontiers in Microbiology. 14. 1076342–1076342. 5 indexed citations
3.
Melcher, Michael, et al.. (2022). Need for skilled workers in the area of Data Science and Cloud Computing in Styria. 28–34. 1 indexed citations
4.
Melcher, Michael, et al.. (2022). Parsimonious statistical learning models for low-flow estimation. Hydrology and earth system sciences. 26(1). 129–148. 10 indexed citations
5.
Melcher, Michael, et al.. (2022). Low-flow estimation beyond the mean – expectile loss and extreme gradient boosting for spatiotemporal low-flow prediction in Austria. Hydrology and earth system sciences. 26(17). 4553–4574. 7 indexed citations
6.
7.
Mooshammer, Maria, Ricardo Eloy Alves, Barbara Bayer, et al.. (2020). Nitrogen Isotope Fractionation During Archaeal Ammonia Oxidation: Coupled Estimates From Measurements of Residual Ammonium and Accumulated Nitrite. Frontiers in Microbiology. 11. 1710–1710. 14 indexed citations
8.
Dhiman, Heena, et al.. (2020). Predicting favorable landing pads for targeted integrations in Chinese hamster ovary cell lines by learning stability characteristics from random transgene integrations. Computational and Structural Biotechnology Journal. 18. 3632–3648. 26 indexed citations
9.
Ruckerbauer, David E., et al.. (2020). Error propagation in constraint‐based modeling of Chinese hamster ovary cells. Biotechnology Journal. 16(4). e2000320–e2000320. 5 indexed citations
10.
Schlögl, Matthias, et al.. (2019). A comparison of statistical learning methods for deriving determining factors of accident occurrence from an imbalanced high resolution dataset. Accident Analysis & Prevention. 127. 134–149. 76 indexed citations
11.
Klanert, Gerald, Michael Melcher, Steven A. Titus, et al.. (2019). A cross-species whole genome siRNA screen in suspension-cultured Chinese hamster ovary cells identifies novel engineering targets. Scientific Reports. 9(1). 8689–8689. 20 indexed citations
12.
Klanert, Gerald, Matthias Hackl, Michael Hanscho, et al.. (2019). Transient manipulation of the expression level of selected growth rate correlating microRNAs does not increase growth rate in CHO-K1 cells. Journal of Biotechnology. 295. 63–70. 2 indexed citations
13.
Abby, Sophie S., Michael Melcher, Melina Kerou, et al.. (2018). Candidatus Nitrosocaldus cavascurensis, an Ammonia Oxidizing, Extremely Thermophilic Archaeon with a Highly Mobile Genome. Frontiers in Microbiology. 9. 28–28. 64 indexed citations
14.
Melcher, Michael, et al.. (2016). Boosting flexible functional regression models with a high number of functional historical effects. Statistics and Computing. 27(4). 913–926. 22 indexed citations
15.
Melcher, Michael, Theresa Scharl, Bernhard Spangl, et al.. (2015). The potential of random forest and neural networks for biomass and recombinant protein modeling in Escherichia coli fed‐batch fermentations. Biotechnology Journal. 10(11). 1770–1782. 30 indexed citations
16.
Melcher, Michael, et al.. (2009). Investigation of ancient gold objects from Artemision at Ephesus using portable µ-XRF. ArchéoSciences. 33. 2 indexed citations
17.
Schreiner, Manfred, et al.. (2006). Scanning electron microscopy and energy dispersive analysis: applications in the field of cultural heritage. Analytical and Bioanalytical Chemistry. 387(3). 737–747. 62 indexed citations
18.
Melcher, Michael & Manfred Schreiner. (2005). Evaluation procedure for leaching studies on naturally weathered potash-lime-silica glasses with medieval composition by scanning electron microscopy. Journal of Non-Crystalline Solids. 351(14-15). 1210–1225. 39 indexed citations
19.
Melcher, Michael & Manfred Schreiner. (2004). Statistical evaluation of potash-lime-silica glass weathering. Analytical and Bioanalytical Chemistry. 379(4). 628–39. 45 indexed citations
20.
Kay, Saul, et al.. (1979). Combined epithelial and sarcomatous elements in a liver cancer associated with oral contraceptive use. The American Journal of Surgical Pathology. 3(2). 185–190. 10 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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