Maike Schmidt

3.5k citations
56 papers · 2.8k · h-index 27

Impact in

    • Marine and coastal ecosystems
  • Oncology top 5%
    • Cancer Immunotherapy and Biomarkers

Papers in

    • Sulfur Compounds in Biology 9
    • Angiogenesis and VEGF in Cancer 9
    • Glutathione Transferases and Polymorphisms 5
    • Redox biology and oxidative stress 5

Maike Schmidt

51 papers receiving 2.8k citations

Peers

Maike Schmidt
Comparison fields: 5 of 125
  • Oceanography 239
  • Oncology 400
  • Molecular Biology 881
  • Cancer Research 172
  • Biochemistry 58
Replace Liang Feng with:
Liang Feng United States
Ji Min Lee South Korea
Joseph R. Casey Canada
Remo Sanges Italy
Oswaldo Keith Okamoto Brazil
Makiko Rai Tanaka Japan
Yoshihiko Fujita Japan
Gary K. Ostrander United States
Robert Buchsbaum United States
Scott K. Parks France
Maike Schmidt relative to Liang Feng United States Liang Feng's profile →
Citations per field
00.5×1.5×2×2.5×
Liang Feng · 1×
Citations per year

Countries citing papers authored by Maike Schmidt

Since Specialization
Citations

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

Fields of papers citing papers by Maike Schmidt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Maike Schmidt, 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 Maike Schmidt Line = papers co-authored together Maike Schmidt links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004326
2 2012324
3 2017309
4 2011170
5 2007168
6 2009149
7 2010116
8 2011110
9 201185
10 200069
11 201267
12 201566
13 201059
14 201057
15 201054
16 201153
17 201353
18 201140
19 200936
20 201136

About Maike Schmidt

Maike Schmidt is a scholar working on Biochemistry, Molecular Biology, Surfaces, Coatings and Films, Cancer Research and Oncology, having authored 56 papers that have together received 2.8k indexed citations. Recurring topics across this work include Sulfur Compounds in Biology (9 papers), Angiogenesis and VEGF in Cancer (9 papers), Glutathione Transferases and Polymorphisms (5 papers), Redox biology and oxidative stress (5 papers), Physiological and biochemical adaptations (4 papers), Polymer Surface Interaction Studies (3 papers), Breast Cancer Treatment Studies (3 papers) and Neuroscience and Neuropharmacology Research (3 papers). The work is most often cited by research in Oceanography (239 citations), Oncology (400 citations), Molecular Biology (881 citations), Cancer Research (172 citations) and Biochemistry (58 citations). Maike Schmidt has collaborated with scholars based in Germany, Australia and United States. Frequent co-authors include Ralf Dringen, Weilan Ye, Alane Gray, Adrian M. Jubb, Doris Abele, Kenneth J. Hillan, Hartmut Koeppen, Laura A Strickland, Andrea Münsterberg and Judy Mak. Their work appears in journals such as Journal of Neurochemistry, Clinical Cancer Research, Nature, Annals of Oncology and Development.

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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