Éva Erdmann

16 papers receiving 436 citations

Peers

Éva Erdmann
Comparison fields: 5 of 71
  • Pulmonary and Respiratory Medicine 284
  • Endocrinology, Diabetes and Metabolism 127
  • Cancer Research 88
  • Genetics 112
  • Molecular Biology 159
Replace Stephen G. Patterson with:
Stephen G. Patterson United States
Manjula Nakka United States
Andrew T. Hnat United States
Wanting Han United States
J.H. van Laar Netherlands
Heléne Gustavsson Sweden
Claire M. Faltermeier United States
J M Lobaccaro France
Manuel Saiselet Belgium
R. Siobhan Darrington United Kingdom
Éva Erdmann relative to Stephen G. Patterson United States Stephen G. Patterson's profile →
Citations per field
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Citations per year

Countries citing papers authored by Éva Erdmann

Since Specialization
Citations

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

Fields of papers citing papers by Éva Erdmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 200380
2 200976
3 200756
4 201345
5 201938
6 200727
7 200321
8 200820
9 200917
10
Ethos der Moderne: Foucaults Kritik der Aufklärung
199016
11 201216
12 201113
13 20219
14 20218
15 20195
16 20175
17
Hauptsache regional : Regionalität, Lokalismus und Internationalität im aktuellen Kriminalroman
20071
18 20060

About Éva Erdmann

Éva Erdmann is a scholar working on Pulmonary and Respiratory Medicine, Endocrinology, Diabetes and Metabolism, Genetics, Molecular Biology and Literature and Literary Theory, having authored 18 papers that have together received 453 indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (11 papers), Hormonal and reproductive studies (5 papers), Estrogen and related hormone effects (3 papers), Ubiquitin and proteasome pathways (3 papers), Mass Spectrometry Techniques and Applications (2 papers), Crime and Detective Fiction Studies (2 papers), Narrative Theory and Analysis (2 papers) and Cancer, Lipids, and Metabolism (2 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (284 citations), Endocrinology, Diabetes and Metabolism (127 citations), Cancer Research (88 citations), Genetics (112 citations) and Molecular Biology (159 citations). Éva Erdmann has collaborated with scholars based in France, United Kingdom and Belgium. Frequent co-authors include Jean‐Pierre Bergerat, Jocelyn Céraline, Jean‐Emmanuel Kurtz, Brigitte Duclos, Didier Jacqmin, Gaëlle Lapouge, Pascal Kessler, Philippe Erbs, Dominique K. Chopin and Axel Honneth. Their work appears in journals such as The American Journal of Human Genetics, International Journal of Cancer, PLoS ONE, Human Mutation and Molecular Oncology.

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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