Eva Marina Schmidt

1.5k total citations
32 papers, 1.1k citations indexed

About

Eva Marina Schmidt is a scholar working on Molecular Biology, Oncology and Epidemiology. According to data from OpenAlex, Eva Marina Schmidt has authored 32 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 8 papers in Oncology and 6 papers in Epidemiology. Recurrent topics in Eva Marina Schmidt's work include Receptor Mechanisms and Signaling (10 papers), Liver Disease Diagnosis and Treatment (5 papers) and Cancer Cells and Metastasis (5 papers). Eva Marina Schmidt is often cited by papers focused on Receptor Mechanisms and Signaling (10 papers), Liver Disease Diagnosis and Treatment (5 papers) and Cancer Cells and Metastasis (5 papers). Eva Marina Schmidt collaborates with scholars based in Hungary, Germany and Sweden. Eva Marina Schmidt's co-authors include F. W. Schmidt, Béla Kiss, Zsolt Szombathelyi, György Domány, István Gyertyán, I. Laszlovszky, Thomas Kirchner, Éva Ágai-Csongor, David Horst and Attila Horváth and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and The Journal of Experimental Medicine.

In The Last Decade

Eva Marina Schmidt

31 papers receiving 1.0k citations

Peers

Eva Marina Schmidt
Comparison fields: 5 of 104
  • Molecular Biology 467
  • Cellular and Molecular Neuroscience 243
  • Psychiatry and Mental health 237
  • Oncology 128
  • Pharmacology 93
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Citations per field, relative to Eva Marina Schmidt
Eva Marina Schmidt · 1×
Citations per year, relative to Eva Marina Schmidt
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Countries citing papers authored by Eva Marina Schmidt

Since Specialization
Citations

This map shows the geographic impact of Eva Marina 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 Marina 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 Marina Schmidt more than expected).

Fields of papers citing papers by Eva Marina Schmidt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eva Marina Schmidt

This figure shows the co-authorship network connecting the top 25 collaborators of Eva Marina Schmidt. A scholar is included among the top collaborators of Eva Marina Schmidt 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 Eva Marina Schmidt. Eva Marina Schmidt 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
# Work Indexed citations
1 2
2 11
3 40
4 28
5 57
6 33
7 27
8 39
9 7
10 31
11 36
12 74
13 290
14 2
15 3
16 18
17 58
18 6
19
Studies of liver function and structure in patients with gallstones before and during treatment with chenodeoxycholic acid.
17
20
Newer diagnostic tests in liver disease.
1

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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