Markus Jaeger

608 citations
34 papers · 484 · h-index 12

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • RNA modifications and cancer
    • RNA Research and Splicing
    • Circular RNAs in diseases

Papers in

Markus Jaeger

29 papers receiving 473 citations

Peers

Markus Jaeger
Comparison fields: 5 of 83
  • Cancer Research 158
  • Molecular Biology 234
  • Electronic, Optical and Magnetic Materials 53
  • Immunology 43
  • Reproductive Medicine 15
Replace Aiyuan Wang with:
Aiyuan Wang China
Wu Ren China
Shengguo Zhang China
Richard D. Hall United States
Myung-Hoon Lee South Korea
Zhenguo Sun China
Jiarong Zhou China
Di Zhou China
Xiaodan Chang China
Markus Jaeger relative to Aiyuan Wang China Aiyuan Wang's profile →
Citations per field
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Aiyuan Wang · 1×
Citations per year

Countries citing papers authored by Markus Jaeger

Since Specialization
Citations

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

Fields of papers citing papers by Markus Jaeger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015118
2 201341
3 201329
4 202128
5 201328
6 202027
7 201525
8 201824
9 201521
10 201116
11 200816
12 202113
13 202010
14 20059
15 20058
16 20178
17 20197
18 20196
19 20236
20 20216

About Markus Jaeger

Markus Jaeger is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Electronic, Optical and Magnetic Materials, Surgery and Molecular Biology, having authored 34 papers that have together received 484 indexed citations. Recurring topics across this work include Electric Motor Design and Analysis (7 papers), Magnetic Properties and Applications (6 papers), Intraperitoneal and Appendiceal Malignancies (5 papers), Ovarian cancer diagnosis and treatment (4 papers), Structural Health Monitoring Techniques (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), RNA Research and Splicing (3 papers) and Magnetic Bearings and Levitation Dynamics (3 papers). The work is most often cited by research in Cancer Research (158 citations), Molecular Biology (234 citations), Electronic, Optical and Magnetic Materials (53 citations), Immunology (43 citations) and Reproductive Medicine (15 citations). Markus Jaeger has collaborated with scholars based in Germany, Netherlands and United States. Frequent co-authors include Marc Hirschfeld, Elmar Stickeler, Thalia Erbes, Sebastian Mayer, G. Gitsch, Séverine Iborra, Gerta Rücker, Kay Hameyer, Axel zur Hausen and Andreas Ruf. Their work appears in journals such as Journal of Clinical Oncology, BMC Cancer, Molecular Carcinogenesis, Acta Obstetricia Et Gynecologica Scandinavica and Leiden Journal of International Law.

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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