Heidi Fiegl

8.6k citations
111 papers · 6.0k indexed · 1 hit paper · h-index 42
    • Cancer Genomics and Diagnostics 13
    • Cancer-related molecular mechanisms research 13
    • MicroRNA in disease regulation 9
    • Epigenetics and DNA Methylation 45
    • Cancer-related gene regulation 19
    • RNA modifications and cancer 10
  • Oncology top 2%
    • Cancer-related Molecular Pathways 10
    • Ovarian cancer diagnosis and treatment 16
  • Immunology top 5%

Heidi Fiegl

109 papers receiving 5.9k citations

Hit Papers

Epigenetic stem cell signature in cancer7752006202620122019250500750

Peers

Heidi Fiegl
Comparison fields: 5 of 132
  • Cancer Research 1.6k
  • Molecular Biology 4.0k
  • Oncology 1.5k
  • Reproductive Medicine 386
  • Immunology 913
Replace Jörg Wischhusen with:
Jörg Wischhusen Germany
Gustavo Baldassarre Italy
Rosemarie Schmandt United States
Robert G. Ramsay Australia
Charles V. Clevenger United States
Elisabeth Müller‐Holzner Austria
Hallgeir Rui United States
Robert R. Langley United States
Malek Faham United States
Enhua Wang China
Heidi Fiegl relative to Jörg Wischhusen Germany Jörg Wischhusen's profile →
Citations per field
00.5×1.7×
Jörg Wischhusen · 1×
Citations per year

Countries citing papers authored by Heidi Fiegl

Since Specialization
Citations

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

Fields of papers citing papers by Heidi Fiegl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20243
2 20239
3 20221
4 202115
5 202015
6 20161
7 201620
8 201292
9 201030
10 20103
11 201074
12 20097
13 200832
14 200710
15 2005208
16 2004268
17 2004100
18 2004186
19 2004214
20 200375

About Heidi Fiegl

Heidi Fiegl is a scholar working on Cancer Research, Reproductive Medicine and Oncology, having authored 111 papers that have together received 6.0k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (45 papers), Cancer-related gene regulation (19 papers), Ovarian cancer diagnosis and treatment (16 papers), Cancer Genomics and Diagnostics (13 papers), Cancer-related molecular mechanisms research (13 papers), Cancer-related Molecular Pathways (10 papers), RNA modifications and cancer (10 papers) and MicroRNA in disease regulation (9 papers). The work is most often cited by research in Cancer Research (1.6k citations), Molecular Biology (4.0k citations) and Oncology (1.5k citations). Heidi Fiegl has collaborated with scholars based in Austria, United States and Germany. Frequent co-authors include Christian Marth, Martin Widschwendter, Hans H. Goebel, Elisabeth Müller‐Holzner, Hannes Müller, Alain G. Zeimet, Peter W. Laird, Elisabeth Mueller‐Holzner, Andreas Widschwendter and Ian Jacobs. Their work appears in journals such as The Lancet, Nature Genetics and Journal of Clinical Oncology.

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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