Markus Duechler

1.2k citations
29 papers · 991 · h-index 17

Impact in

Papers in

    • Ubiquitin and proteasome pathways 5
    • Extracellular vesicles in disease 4
    • RNA Interference and Gene Delivery 3
    • Chronic Lymphocytic Leukemia Research 9

Markus Duechler

29 papers receiving 979 citations

Peers

Markus Duechler
Comparison fields: 5 of 96
  • Genetics 149
  • Cancer Research 193
  • Molecular Biology 618
  • Immunology 174
  • Hematology 79
Replace R.J. Arceci with:
R.J. Arceci United States
Pedram Kharaziha Sweden
Carmen Pacilio Italy
Lin Fu China
Tim Lammens Belgium
Xincheng Lu China
John F. DeCoteau Canada
Zonggao Shi United States
Patrice Dumain France
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Citations per field
00.5×11.3×
R.J. Arceci · 1×
Citations per year

Countries citing papers authored by Markus Duechler

Since Specialization
Citations

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

Fields of papers citing papers by Markus Duechler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002111
2 2016105
3 201495
4 201090
5 198770
6 200464
7 200460
8 201549
9 201246
10 201340
11 200534
12 201134
13 201329
14 198925
15 200722
16 201122
17 200621
18 199316
19
Influence of hypoxia inducible factors on the immune microenvironment in ovarian cancer.
201415
20 201015

About Markus Duechler

Markus Duechler is a scholar working on Molecular Biology, Genetics, Oncology, Immunology and Cancer Research, having authored 29 papers that have together received 991 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (9 papers), Ubiquitin and proteasome pathways (5 papers), Cancer-related Molecular Pathways (4 papers), Extracellular vesicles in disease (4 papers), Immunotherapy and Immune Responses (4 papers), Cancer, Hypoxia, and Metabolism (4 papers), RNA Interference and Gene Delivery (3 papers) and Plant and Fungal Interactions Research (2 papers). The work is most often cited by research in Genetics (149 citations), Cancer Research (193 citations), Molecular Biology (618 citations), Immunology (174 citations) and Hematology (79 citations). Markus Duechler has collaborated with scholars based in Poland, Austria and United States. Frequent co-authors include Małgorzata Czyż, Medhat Shehata, Josef D. Schwarzmeier, Rainer Hubmann, Martin Hilgarth, Anna Gajos-Michniewicz, Jacek R. Wilczyński, Elżbieta Sochacka, Barbara Nawrot and Grażyna Leszczyńska. Their work appears in journals such as Blood, Archivum Immunologiae et Therapiae Experimentalis, Journal of Clinical Investigation, Cancer Letters and Reproduction Fertility and Development.

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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