Helga Seyschab

15 total papers · 510 total citations
12 papers, 389 citations indexed

About

Helga Seyschab is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Helga Seyschab has authored 12 papers receiving a total of 389 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Cancer Research and 3 papers in Oncology. Recurrent topics in Helga Seyschab's work include DNA Repair Mechanisms (6 papers), Carcinogens and Genotoxicity Assessment (5 papers) and Cancer-related Molecular Pathways (2 papers). Helga Seyschab is often cited by papers focused on DNA Repair Mechanisms (6 papers), Carcinogens and Genotoxicity Assessment (5 papers) and Cancer-related Molecular Pathways (2 papers). Helga Seyschab collaborates with scholars based in Germany, United States and Switzerland. Helga Seyschab's co-authors include Detlev Schindler, Richard Friedl, Holger Hoehn, Yujie Sun, Takao Yoshihara, Takeshi Inukai, Steven J. Laken, Toshiya Inaba, Christine E. Canman and Michael B. Kastan and has published in prestigious journals such as Nature, Blood and Molecular and Cellular Biology.

In The Last Decade

Helga Seyschab

12 papers receiving 384 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Helga Seyschab 307 130 102 48 39 12 389
Liat Goldberg 299 1.0× 92 0.7× 50 0.5× 31 0.6× 92 2.4× 12 409
Richard Friedl 339 1.1× 130 1.0× 65 0.6× 40 0.8× 40 1.0× 15 444
Rei Mimoto 244 0.8× 75 0.6× 135 1.3× 63 1.3× 15 0.4× 15 371
Andressa Gois Morales 247 0.8× 133 1.0× 69 0.7× 22 0.5× 15 0.4× 13 350
Giancarlo Barone 259 0.8× 85 0.7× 134 1.3× 16 0.3× 17 0.4× 11 351
Lorna M. Webber 176 0.6× 50 0.4× 86 0.8× 65 1.4× 120 3.1× 11 372
Paola Rivera-Muñoz 322 1.0× 49 0.4× 128 1.3× 16 0.3× 70 1.8× 10 438
Christiana Hadjimichael 341 1.1× 107 0.8× 123 1.2× 22 0.5× 10 0.3× 7 434
Rosine Onclercq 327 1.1× 75 0.6× 103 1.0× 13 0.3× 41 1.1× 12 436
Marco Garieri 274 0.9× 104 0.8× 52 0.5× 52 1.1× 24 0.6× 12 428

Countries citing papers authored by Helga Seyschab

Since Specialization
Citations

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

Fields of papers citing papers by Helga Seyschab

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Helga Seyschab

This figure shows the co-authorship network connecting the top 25 collaborators of Helga Seyschab. A scholar is included among the top collaborators of Helga Seyschab 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 Helga Seyschab. Helga Seyschab is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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