Milan Maděra

800 citations
15 papers · 676 · h-index 12

Impact in

    • Advanced Proteomics Techniques and Applications
    • Mass Spectrometry Techniques and Applications
    • Analytical Chemistry and Chromatography
    • Glycosylation and Glycoproteins Research

Papers in

Milan Maděra

15 papers receiving 663 citations

Peers

Milan Maděra
Comparison fields: 5 of 78
  • Spectroscopy 285
  • Molecular Biology 542
  • Radiology, Nuclear Medicine and Imaging 151
  • Organic Chemistry 132
  • Immunology 58
Replace Victor T. Ling with:
Victor T. Ling United States
Jana Vidič United States
Yunli Hu United States
Glen Teshima United States
John E. Battersby New Zealand
Bojing Zhu China
Lakshmi Krishnamoorthy United States
M.T.W. Hearn Australia
Anna Jarząb Poland
Ciara A. McManus Ireland
Milan Maděra relative to Victor T. Ling United States Victor T. Ling's profile →
Citations per field
00.5×1.5×2.4×
Victor T. Ling · 1×
Citations per year

Countries citing papers authored by Milan Maděra

Since Specialization
Citations

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

Fields of papers citing papers by Milan Maděra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Milan Maděra, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Milan Maděra Line = papers co-authored together Milan Maděra links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 2010140
2 2005114
3 200866
4 200663
5 200662
6 200855
7 200848
8 201028
9 201028
10 200122
11 201019
12 200615
13 200610
14 20095
15 20101

About Milan Maděra

Milan Maděra is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Spectroscopy, Organic Chemistry and Biotechnology, having authored 15 papers that have together received 676 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (11 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Advanced Proteomics Techniques and Applications (4 papers), Protein purification and stability (3 papers), Carbohydrate Chemistry and Synthesis (3 papers), Galectins and Cancer Biology (2 papers), Mass Spectrometry Techniques and Applications (2 papers) and RNA and protein synthesis mechanisms (2 papers). The work is most often cited by research in Spectroscopy (285 citations), Molecular Biology (542 citations), Radiology, Nuclear Medicine and Imaging (151 citations), Organic Chemistry (132 citations) and Immunology (58 citations). Milan Maděra has collaborated with scholars based in United States and Czechia. Frequent co-authors include Yehia Mechref, Miloš V. Novotný, William R. Alley, Iveta Kloučková, Benjamin F. Mann, Věra Pacáková, Karel Štulı́k, Quanhu Sheng, Haixu Tang and Marie Tichá. Their work appears in journals such as Analytical Chemistry, Journal of Separation Science, Journal of Proteome Research, Electrophoresis and International Journal of Mass Spectrometry.

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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