Timo Itzel

1.6k citations
31 papers · 622 · h-index 13

Impact in

  • Hepatology top 5%
    • Liver physiology and pathology
    • Hepatocellular Carcinoma Treatment and Prognosis
  • Epidemiology top 10%
    • Liver Disease Diagnosis and Treatment

Papers in

Timo Itzel

29 papers receiving 616 citations

Peers

Timo Itzel
Comparison fields: 5 of 70
  • Hepatology 100
  • Epidemiology 213
  • Cancer Research 78
  • Oncology 107
  • Cell Biology 68
Replace Twishi Gulati with:
Twishi Gulati Australia
Anne T. Schneider Germany
Pei Kee Goh Australia
Chenzhi Hao China
John Stoops United States
Tomoyuki Nemoto Japan
Kunimaro Furuta Japan
Stephen A. Hoang United States
Pinzhu Huang China
Bilge Aktaş Türkiye
Timo Itzel relative to Twishi Gulati Australia Twishi Gulati's profile →
Citations per field
00.5×3.8×
Twishi Gulati · 1×
Citations per year

Countries citing papers authored by Timo Itzel

Since Specialization
Citations

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

Fields of papers citing papers by Timo Itzel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016158
2 2020116
3 202162
4 201452
5 202035
6 201729
7 201921
8 201518
9 202018
10 201314
11 201214
12 202014
13 201914
14 202112
15 201611
16 20206
17 20215
18 20214
19 20233
20 20243

About Timo Itzel

Timo Itzel is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Oncology, Hepatology and Epidemiology, having authored 31 papers that have together received 622 indexed citations. Recurring topics across this work include Gene expression and cancer classification (4 papers), Bioinformatics and Genomic Networks (4 papers), Ferroptosis and cancer prognosis (3 papers), Cancer Genomics and Diagnostics (3 papers), Liver physiology and pathology (3 papers), Liver Disease Diagnosis and Treatment (3 papers), TGF-β signaling in diseases (3 papers) and Cancer Cells and Metastasis (2 papers). The work is most often cited by research in Hepatology (100 citations), Epidemiology (213 citations), Cancer Research (78 citations), Oncology (107 citations) and Cell Biology (68 citations). Timo Itzel has collaborated with scholars based in Germany, United States and Colombia. Frequent co-authors include Andreas Teufel, T Maass, Claus Hellerbrand, Tianzuo Zhan, Johannes Betge, Rainer Spang, Frederik Marmé, Heike Bantel, Katharina John and Silke Marhenke. Their work appears in journals such as Cells, Journal of Clinical Oncology, Scandinavian Journal of Gastroenterology, Journal of Hepatology and Digestive Diseases.

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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