Marina Scheller

2.5k citations
26 papers · 1.8k · h-index 15

Impact in

  • Hematology top 2%
    • Acute Myeloid Leukemia Research
    • Hematopoietic Stem Cell Transplantation
  • Immunology top 5%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology

Papers in

    • Cancer-related gene regulation 4
    • Epigenetics and DNA Methylation 4
    • Genomics and Chromatin Dynamics 3
    • Acute Myeloid Leukemia Research 7
    • Hematopoietic Stem Cell Transplantation 5
    • Chronic Myeloid Leukemia Treatments 3

Marina Scheller

26 papers receiving 1.8k citations

Peers

Marina Scheller
Comparison fields: 5 of 80
  • Hematology 542
  • Immunology 503
  • Genetics 165
  • Molecular Biology 1.1k
  • Oncology 241
Replace Adlen Foudi with:
Adlen Foudi France
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D E Zhang United States
Tong Yin China
Lisa Gallacher Canada
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Marina Scheller relative to Adlen Foudi France Adlen Foudi's profile →
Citations per field
00.5×1.5×
Adlen Foudi · 1×
Citations per year

Countries citing papers authored by Marina Scheller

Since Specialization
Citations

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

Fields of papers citing papers by Marina Scheller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Marina Scheller, 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 Marina Scheller Line = papers co-authored together Marina Scheller 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 2009352
2 2006316
3 2007183
4 2005170
5 2014130
6 2002121
7 201397
8 199994
9 200360
10 200260
11 201338
12 202337
13 201633
14 201432
15 201320
16 200214
17 199314
18 201011
19 199511
20 20226

About Marina Scheller

Marina Scheller is a scholar working on Molecular Biology, Hematology, Immunology, Oncology and Cancer Research, having authored 26 papers that have together received 1.8k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (7 papers), Hematopoietic Stem Cell Transplantation (5 papers), Cytokine Signaling Pathways and Interactions (5 papers), Cancer-related gene regulation (4 papers), Epigenetics and DNA Methylation (4 papers), Immune cells in cancer (3 papers), Chronic Myeloid Leukemia Treatments (3 papers) and Genomics and Chromatin Dynamics (3 papers). The work is most often cited by research in Hematology (542 citations), Immunology (503 citations), Genetics (165 citations), Molecular Biology (1.1k citations) and Oncology (241 citations). Marina Scheller has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Achim Leutz, Frank Rosenbauer, Walter Birchmeier, Joerg Huelsken, Daniel G. Tenen, Makoto M. Taketo, Ivan D. Horak, Carol Stocking, Miguel A. Andrade‐Navarro and Jürgen Löhler. Their work appears in journals such as Blood, Cell Reports, Nature Genetics, The Journal of Experimental Medicine and Nature Communications.

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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