Michael Seiler

4.2k citations
26 papers · 1.1k · h-index 12

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Cancer Genomics and Diagnostics
  • Hematology top 10%

Papers in

    • RNA Research and Splicing 6
    • RNA modifications and cancer 5
    • RNA and protein synthesis mechanisms 3
    • Bioinformatics and Genomic Networks 3
    • Gene expression and cancer classification 3
    • Renal cell carcinoma treatment 3

Michael Seiler

25 papers receiving 1.1k citations

Peers

Michael Seiler
Comparison fields: 5 of 94
  • Cancer Research 448
  • Hematology 136
  • Molecular Biology 820
  • Pulmonary and Respiratory Medicine 300
  • Genetics 72
Replace Daniel Nicorici with:
Daniel Nicorici Finland
Alice H. Berger United States
Meenakshi Mehrotra United States
Paul Finnon United Kingdom
Zhenqing Ye United States
Christopher A. Bristow United States
Phillippa C. Taberlay Australia
Nathalie Conte United Kingdom
Laura W. Dillon United States
Sabine Hellwig United States
Michael Seiler relative to Daniel Nicorici Finland Daniel Nicorici's profile →
Citations per field
00.5×2.6×
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 2016263
2 2010243
3 2010205
4 201278
5 201078
6 201245
7 201732
8 200932
9 201524
10 201620
11 202417
12 202214
13 201711
14 201410
15 200810
16 20178
17 20165
18 20165
19 20194
20 20154

About Michael Seiler

Michael Seiler is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Oncology, Hematology and Cancer Research, having authored 26 papers that have together received 1.1k indexed citations. Recurring topics across this work include RNA Research and Splicing (6 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), Bioinformatics and Genomic Networks (3 papers), Gene expression and cancer classification (3 papers) and MicroRNA in disease regulation (2 papers). The work is most often cited by research in Cancer Research (448 citations), Hematology (136 citations), Molecular Biology (820 citations), Pulmonary and Respiratory Medicine (300 citations) and Genetics (72 citations). Michael Seiler has collaborated with scholars based in United States, Croatia and Singapore. 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, BMC Medical Genomics, Scientific Reports and Genes & Cancer.

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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