Katja Seipel

4.3k total citations · 1 hit paper
85 papers, 3.4k citations indexed

About

Katja Seipel is a scholar working on Molecular Biology, Hematology and Oncology. According to data from OpenAlex, Katja Seipel has authored 85 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Molecular Biology, 36 papers in Hematology and 25 papers in Oncology. Recurrent topics in Katja Seipel's work include Acute Myeloid Leukemia Research (22 papers), Multiple Myeloma Research and Treatments (15 papers) and CAR-T cell therapy research (13 papers). Katja Seipel is often cited by papers focused on Acute Myeloid Leukemia Research (22 papers), Multiple Myeloma Research and Treatments (15 papers) and CAR-T cell therapy research (13 papers). Katja Seipel collaborates with scholars based in Switzerland, United States and United Kingdom. Katja Seipel's co-authors include Oleg Georgiev, Volker Schmid, W. Schaffner, Michel Streuli, Walter Schaffner, Stephen O’Brien, Thomas Pabst, Nathalie Yanze, Hans‐Peter Gerber and Martin J. Hug and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Katja Seipel

82 papers receiving 3.3k citations

Hit Papers

Transcriptional Activation Modulated by Homopolymeric Glu... 1994 2026 2004 2015 1994 100 200 300 400 500

Peers

Katja Seipel
Comparison fields: 5 of 114
  • Molecular Biology 2.3k
  • Cell Biology 472
  • Cellular and Molecular Neuroscience 443
  • Oncology 420
  • Genetics 397
Replace Masanori Taira with:
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Michael Oelgeschläger Germany
Eduardo Moreno Spain
Tokiharu Takahashi Japan
Aaron Avivi Israel
Suat Özbek Germany
Bingyu Mao China
Kristin White United States
André Le Bivic France
Xin Gao China
Masanori Taira Japan View profile →
Citations per field, relative to Katja Seipel
Katja Seipel · 1×
Citations per year, relative to Katja Seipel
Katja Seipel · 1×

Countries citing papers authored by Katja Seipel

Since Specialization
Citations

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

Fields of papers citing papers by Katja Seipel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Katja Seipel

This figure shows the co-authorship network connecting the top 25 collaborators of Katja Seipel. A scholar is included among the top collaborators of Katja Seipel 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 Katja Seipel. Katja Seipel 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 1
2 1
3 3
4 1
5 2
6 1
7 40
8 7
9 4
10 5
11 0
12 3
13 7
14 17
15 4
16 26
17 10
18 9
19 11
20 41

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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