Gerwin Heller

3.6k citations
77 papers · 2.0k · h-index 25

Impact in

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

Papers in

    • Epigenetics and DNA Methylation 20
    • RNA modifications and cancer 9
    • Cancer-related gene regulation 9
    • Cancer Immunotherapy and Biomarkers 13

Gerwin Heller

74 papers receiving 2.0k citations

Peers

Gerwin Heller
Comparison fields: 5 of 101
  • Cancer Research 485
  • Hematology 266
  • Oncology 583
  • Molecular Biology 1.2k
  • Immunology 333
Replace David Y. Chen with:
David Y. Chen United States
Tobias Dechow Germany
Ludwig Wilkens Germany
María J. Pajares Spain
Christophe Lebœuf France
Evan N. Cohen United States
Bin Shi China
Tim H. Brümmendorf Germany
Silvia Monestiroli Italy
Rosa Fonti Italy
Gerwin Heller relative to David Y. Chen United States David Y. Chen's profile →
Citations per field
00.5×1.7×
David Y. Chen · 1×
Citations per year

Countries citing papers authored by Gerwin Heller

Since Specialization
Citations

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

Fields of papers citing papers by Gerwin Heller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014166
2 2008132
3 2012128
4 2016123
5 2017106
6 2017100
7 201086
8 200773
9 201472
10 200567
11 201359
12 200755
13 201647
14 200643
15 200537
16 201936
17 202134
18 201231
19 202028
20 202128

About Gerwin Heller

Gerwin Heller is a scholar working on Molecular Biology, Oncology, Immunology, Hematology and Cancer Research, having authored 77 papers that have together received 2.0k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (20 papers), Cancer Immunotherapy and Biomarkers (13 papers), Acute Myeloid Leukemia Research (12 papers), RNA modifications and cancer (9 papers), Cancer-related gene regulation (9 papers), Immune Cell Function and Interaction (8 papers), Acute Lymphoblastic Leukemia research (6 papers) and Chronic Lymphocytic Leukemia Research (5 papers). The work is most often cited by research in Cancer Research (485 citations), Hematology (266 citations), Oncology (583 citations), Molecular Biology (1.2k citations) and Immunology (333 citations). Gerwin Heller has collaborated with scholars based in Austria, Germany and United States. Frequent co-authors include Sabine Zöchbauer‐Müller, Christoph Zielinski, Barbara Ziegler, Leonhard Müllauer, Veronika Sexl, Erwin Tomasich, Adelheid End‐Pfützenreuter, György Láng, Karoline Kollmann and Matthias Preusser. Their work appears in journals such as Blood, Clinical Cancer Research, Cancers, Oncotarget and Cancer Research.

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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