Eva‐Maria Schmidt

49 papers receiving 1.5k citations

Eva‐Maria Schmidt's Hit Papers

What makes a good mother? Two decades of research reflecting social norms of motherhood 2022 · 72 citations
720+1+2Years since publication204060

Peers

Eva‐Maria Schmidt
Comparison fields: 5 of 143
  • Sensory Systems 130
  • Hematology 154
  • Endocrine and Autonomic Systems 53
  • Gender Studies 69
  • Molecular Biology 406
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Eva‐Maria Schmidt relative to Robin Roberts United States Robin Roberts's profile →
Citations per field
00.5×4.6×
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Citations per year

Countries citing papers authored by Eva‐Maria Schmidt

Since Specialization
Citations

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

Fields of papers citing papers by Eva‐Maria Schmidt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012116
2 2011111
3 201981
4 201374
5
What makes a good mother? Two decades of research reflecting social norms of motherhood
Hit paper breakdown →
202272
6 201169
7 201769
8 201465
9 201263
10 200655
11 201250
12 201349
13 200447
14 201344
15 201243
16 201340
17 201236
18 201236
19 201435
20 201733

About Eva‐Maria Schmidt

Eva‐Maria Schmidt is a scholar working on Sociology and Political Science, Sensory Systems, Molecular Biology, Hematology and Demography, having authored 53 papers that have together received 1.5k indexed citations. Recurring topics across this work include Work-Family Balance Challenges (9 papers), Intergenerational Family Dynamics and Caregiving (9 papers), Ion Channels and Receptors (8 papers), Platelet Disorders and Treatments (5 papers), Family Dynamics and Relationships (5 papers), Phytochemicals and Antioxidant Activities (4 papers), Postharvest Quality and Shelf Life Management (4 papers) and Social Policy and Reform Studies (4 papers). The work is most often cited by research in Sensory Systems (130 citations), Hematology (154 citations), Endocrine and Autonomic Systems (53 citations), Gender Studies (69 citations) and Molecular Biology (406 citations). Eva‐Maria Schmidt has collaborated with scholars based in Germany, Austria and Greece. Frequent co-authors include Florian Läng, Ulrike Zartler, Oliver Borst, Patrick Münzer, Evi Schmid, Meinrad Gawaz, Susanne Vogl, Syeda Tasneem Towhid, Andreas E. May and Tanja Schönberger. Their work appears in journals such as Biochemical and Biophysical Research Communications, The FASEB Journal, International Journal of Social Research Methodology, Brain Behavior and Immunity and Journal of Family Issues.

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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