Robert Eferl

9.4k citations
68 papers · 6.7k indexed · 1 hit paper · h-index 33
  • Oncology top 1%
    • Cytokine Signaling Pathways and Interactions 13
    • Bone health and treatments 7
    • Cancer-related Molecular Pathways 4
  • Immunology top 2%
    • interferon and immune responses 6
  • Hepatology top 2%
    • Liver physiology and pathology 9
    • Bone Metabolism and Diseases 9
    • CRISPR and Genetic Engineering 4
    • Helicobacter pylori-related gastroenterology studies 5

Robert Eferl

68 papers receiving 6.6k citations

Hit Papers

AP-1: a double-edged sword in tumorigenesis1.8k200320262010201850010001.5k

Peers

Robert Eferl
Comparison fields: 5 of 134
  • Cancer Research 1.3k
  • Oncology 2.0k
  • Immunology 1.4k
  • Hepatology 453
  • Molecular Biology 3.8k
Replace Eiji Hara with:
Eiji Hara Japan
David Danielpour United States
Kazuhito Naka Japan
Xia Lin China
Jochen Heß Germany
Yoichi Furukawa Japan
Eitan Shaulian Israel
Lixin Wei China
Koichi Nakajima Japan
Francesca Zazzeroni Italy
Robert Eferl relative to Eiji Hara Japan Eiji Hara's profile →
Citations per field
00.5×1.5×
Eiji Hara · 1×
Citations per year

Countries citing papers authored by Robert Eferl

Since Specialization
Citations

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

Fields of papers citing papers by Robert Eferl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 202311
3 202219
4 20219
5 2018130
6 2017105
7 201517
8 201480
9 201410
10 201159
11 201121
12 201066
13 20106
14 200946
15 2008151
16 200725
17 2006187
18
Loss of Fra-2 expression leads to osteoporosis
20031
19 200032
20 19995

About Robert Eferl

Robert Eferl is a scholar working on Hepatology, Oncology and Immunology, having authored 68 papers that have together received 6.7k indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (13 papers), Liver physiology and pathology (9 papers), Bone Metabolism and Diseases (9 papers), Bone health and treatments (7 papers), interferon and immune responses (6 papers), Helicobacter pylori-related gastroenterology studies (5 papers), CRISPR and Genetic Engineering (4 papers) and Cancer-related Molecular Pathways (4 papers). The work is most often cited by research in Cancer Research (1.3k citations), Oncology (2.0k citations) and Immunology (1.4k citations). Robert Eferl has collaborated with scholars based in Austria, Germany and Spain. Frequent co-authors include Erwin F. Wagner, Lukas Kenner, Rainer Zenz, Martina Rath, Harald Scheuch, Roméo Ricci, Erwin Tschachler, Astrid Hoebertz, Peter Angel and Maria Sibilia. Their work appears in journals such as Hepatology, The Journal of Cell Biology, Scientific Reports, Nature and Proceedings of the National Academy of Sciences.

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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