Michael Seiler

4.2k citations
26 papers · 1.1k · h-index 13

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Cancer Genomics and Diagnostics
  • Hematology top 5%
    • Acute Myeloid Leukemia Research

Papers in

    • RNA Research and Splicing 5
    • RNA modifications and cancer 5
    • RNA and protein synthesis mechanisms 3
    • Gene expression and cancer classification 2
    • Renal cell carcinoma treatment 3
    • Ferroptosis and cancer prognosis 2

Michael Seiler

25 papers receiving 1.1k citations

Peers

Michael Seiler
Comparison fields: 5 of 89
  • Cancer Research 358
  • Hematology 134
  • Molecular Biology 686
  • Pulmonary and Respiratory Medicine 248
  • Genetics 67
Replace Daniel Nicorici with:
Daniel Nicorici Finland
M. Varella-Garcia United States
Samirkumar B. Amin United States
Jing Bao China
Archana Agarwal United States
Meenakshi Mehrotra United States
Nadya Dimitrova United States
Jacqueline Stockley United Kingdom
Alice H. Berger United States
Lukas D. Wartman United States
Michael Seiler relative to Daniel Nicorici Finland Daniel Nicorici's profile →
Citations per field
00.5×3.5×
Daniel Nicorici · 1×
Citations per year

Countries citing papers authored by Michael Seiler

Since Specialization
Citations

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

Fields of papers citing papers by Michael Seiler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016266
2 2010247
3 2010204
4 201079
5 201278
6 201246
7 200932
8 201732
9 201526
10 201620
11 202419
12 202214
13 201713
14 200811
15 201410
16 20178
17 20165
18 20165
19 20154
20 20194

About Michael Seiler

Michael Seiler is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Oncology, Hematology and Genetics, having authored 26 papers that have together received 1.1k indexed citations. Recurring topics across this work include RNA Research and Splicing (5 papers), RNA modifications and cancer (5 papers), Acute Myeloid Leukemia Research (4 papers), Renal cell carcinoma treatment (3 papers), RNA and protein synthesis mechanisms (3 papers), Gene expression and cancer classification (2 papers), Ferroptosis and cancer prognosis (2 papers) and Cancer Immunotherapy and Biomarkers (2 papers). The work is most often cited by research in Cancer Research (358 citations), Hematology (134 citations), Molecular Biology (686 citations), Pulmonary and Respiratory Medicine (248 citations) and Genetics (67 citations). Michael Seiler has collaborated with scholars based in United States, Italy and Germany. Frequent co-authors include Gyan Bhanot, Shridar Ganesan, Anupama Reddy, A. Rose Brannon, W. Kimryn Rathmell, Gabriela Alexe, Changquan Huang, Sándor Szalma, Arnold J. Levine and G. Rajagopal. Their work appears in journals such as Blood, Trends in Pharmacological Sciences, Experimental Biology and Medicine, Blood Advances and Scientific Reports.

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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