Mark Wasner

578 citations
8 papers · 488 · h-index 8

Impact in

    • Cancer-related Molecular Pathways
    • Ubiquitin and proteasome pathways
    • Genomics and Chromatin Dynamics
    • RNA Research and Splicing
    • Epigenetics and DNA Methylation
    • RNA modifications and cancer
    • Wnt/β-catenin signaling in development and cancer

Papers in

    • Genomics and Chromatin Dynamics 4
    • Ubiquitin and proteasome pathways 3
    • Cancer-related gene regulation 2
    • Wnt/β-catenin signaling in development and cancer 2
    • RNA Research and Splicing 2
    • Cancer-related Molecular Pathways 6
    • Pancreatic and Hepatic Oncology Research 1

Mark Wasner

8 papers receiving 482 citations

Peers

Mark Wasner
Comparison fields: 5 of 61
  • Oncology 192
  • Molecular Biology 370
  • Cancer Research 73
  • Cell Biology 63
  • Hepatology 17
Replace Wilson W. Marhin with:
Wilson W. Marhin Canada
De-Chang Wu China
Mariagrazia de Palo Italy
Hannah Brinkmann United Kingdom
Akihisa Fukumoto Japan
Feng Dong United States
Frédéric Princen Belgium
Amir Zalcenstein Israel
Yoon Jung Choi South Korea
Kinnimulki Vijayachandra United States
Mark Wasner relative to Wilson W. Marhin Canada Wilson W. Marhin's profile →
Citations per field
00.5×1.5×2.1×
Wilson W. Marhin · 1×
Citations per year

Countries citing papers authored by Mark Wasner

Since Specialization
Citations

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

Fields of papers citing papers by Mark Wasner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

8 of 8 papers shown
#Work
1 1999108
2 200076
3 200364
4 200357
5 200453
6 200348
7 200148
8 200134

About Mark Wasner

Mark Wasner is a scholar working on Molecular Biology, Oncology, Cell Biology, Hepatology and Cancer Research, having authored 8 papers that have together received 488 indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (6 papers), Genomics and Chromatin Dynamics (4 papers), Ubiquitin and proteasome pathways (3 papers), Cancer-related gene regulation (2 papers), Wnt/β-catenin signaling in development and cancer (2 papers), RNA Research and Splicing (2 papers), Pancreatic and Hepatic Oncology Research (1 paper) and NF-κB Signaling Pathways (1 paper). The work is most often cited by research in Oncology (192 citations), Molecular Biology (370 citations), Cancer Research (73 citations), Cell Biology (63 citations) and Hepatology (17 citations). Mark Wasner has collaborated with scholars based in Germany and Italy. Frequent co-authors include Kurt Engeland, Ulrike Haugwitz, Joachim Mössner, Roberto Mantovani, Katrin Tschöp, Wibke Reinhard, Heiko Müller, Isabella Manni, Giulia Piaggio and Antonella Ronchi. Their work appears in journals such as Oncogene, Biochemical and Biophysical Research Communications, Gene, International Journal of Cancer and The Journal of Immunology.

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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