Bernd Heßling

1.4k citations
18 papers · 826 · h-index 12

Impact in

Papers in

    • Ubiquitin and proteasome pathways 2
    • Glycosylation and Glycoproteins Research 2
    • Wnt/β-catenin signaling in development and cancer 2
    • Cancer Cells and Metastasis 2

Bernd Heßling

17 papers receiving 817 citations

Peers

Bernd Heßling
Comparison fields: 5 of 81
  • Molecular Biology 599
  • Cell Biology 99
  • Genetics 158
  • Oncology 137
  • Immunology 88
Replace Paul G. Leonard with:
Paul G. Leonard United States
William R. Tschantz United States
Yong‐In Kim South Korea
Chen Katz Israel
Christopher Bystroff United States
Dirk Brehmer Belgium
John D. Bagert United States
Inés G. Muñoz Spain
Joachim Schnier United States
Héctor Viadiu United States
Bernd Heßling relative to Paul G. Leonard United States Paul G. Leonard's profile →
Citations per field
00.5×1.5×
Paul G. Leonard · 1×
Citations per year

Countries citing papers authored by Bernd Heßling

Since Specialization
Citations

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

Fields of papers citing papers by Bernd Heßling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2011146
2 2019134
3 2012117
4 201599
5 201181
6 201971
7 201339
8 201830
9 201824
10 202123
11 201919
12 201911
13 201311
14 201110
15 20226
16 20194
17 20191
18 20210

About Bernd Heßling

Bernd Heßling is a scholar working on Molecular Biology, Oncology, Genetics, Cell Biology and Genetics, having authored 18 papers that have together received 826 indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (3 papers), Advanced Proteomics Techniques and Applications (2 papers), Ubiquitin and proteasome pathways (2 papers), Glycosylation and Glycoproteins Research (2 papers), Microtubule and mitosis dynamics (2 papers), Liver physiology and pathology (2 papers), Cancer Cells and Metastasis (2 papers) and Wnt/β-catenin signaling in development and cancer (2 papers). The work is most often cited by research in Molecular Biology (599 citations), Cell Biology (99 citations), Genetics (158 citations), Oncology (137 citations) and Immunology (88 citations). Bernd Heßling has collaborated with scholars based in Germany, China and Israel. Frequent co-authors include Dörte Becher, Ulrike Mäder, Katrin Gronau, Michael Hecker, Haike Antelmann, Jörg Bernhardt, Kürşad Turgay, Alexander Elsholz, Ulf Gerth and Stephan Michalik. Their work appears in journals such as Cell Reports, Oncogene, Molecular & Cellular Proteomics, Nature Communications and Journal of Medicinal Chemistry.

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.

Explore authors with similar magnitude of impact