Daniel Heß

12.1k citations
126 papers · 8.6k indexed · 2 hit papers · h-index 53
    • RNA modifications and cancer 16
    • Glycosylation and Glycoproteins Research 13
    • RNA Research and Splicing 12
    • Ubiquitin and proteasome pathways 11
    • Epigenetics and DNA Methylation 10
    • Genomics and Chromatin Dynamics 9
    • DNA Repair Mechanisms 8
    • PI3K/AKT/mTOR signaling in cancer 8
  • Aging top 2%
  • Oncology top 2%

Daniel Heß

124 papers receiving 8.5k citations

Hit Papers

Zc3h13/Flacc is required for ...4632003202620102018200400600

Peers

Daniel Heß
Comparison fields: 5 of 144
  • Molecular Biology 6.6k
  • Cell Biology 1.1k
  • Cancer Research 965
  • Aging 97
  • Oncology 1.2k
Replace Bořivoj Vojtěšek with:
Bořivoj Vojtěšek Czechia
Luis Sánchez‐Pulido Spain
Lorraine J. Gudas United States
Roberto Mantovani Italy
Alain Sarasin France
Markku Varjosalo Finland
John Yu United States
David K. Ann United States
Lionel Larue France
Martha R. Stampfer United States
Daniel Heß relative to Bořivoj Vojtěšek Czechia Bořivoj Vojtěšek's profile →
Citations per field
00.5×1.6×
Bořivoj Vojtěšek · 1×
Citations per year

Countries citing papers authored by Daniel Heß

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Heß

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20241
4 20233
5 20235
6 20218
7 202160
8 202118
9 201934
10 20195
11 201860
12 2018220
13 2012178
14 20101
15 201021
16 200864
17 200550
18 2005155
19 2004106
20 1998113

About Daniel Heß

Daniel Heß is a scholar working on Molecular Biology, Cell Biology and Cancer Research, having authored 126 papers that have together received 8.6k indexed citations. Recurring topics across this work include RNA modifications and cancer (16 papers), Glycosylation and Glycoproteins Research (13 papers), RNA Research and Splicing (12 papers), Ubiquitin and proteasome pathways (11 papers), Epigenetics and DNA Methylation (10 papers), Genomics and Chromatin Dynamics (9 papers), DNA Repair Mechanisms (8 papers) and PI3K/AKT/mTOR signaling in cancer (8 papers). The work is most often cited by research in Molecular Biology (6.6k citations), Cell Biology (1.1k citations) and Cancer Research (965 citations). Daniel Heß has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include Brian A. Hemmings, Jan Hofsteenge, Peter Cron, Patrick Matthias, Jianhua Feng, Jongsun Park, C Wirbelauer, Cécile Caron, Na Li and Saadi Khochbin. Their work appears in journals such as Journal of Biological Chemistry, Molecular Cell, European Journal of Biochemistry, The EMBO Journal and Biochemistry.

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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