Frank Dombrowski

9.0k citations
157 papers · 5.9k indexed · h-index 42

Impact in

  • Hepatology top 0.5%
    • Liver physiology and pathology
    • Cancer, Hypoxia, and Metabolism
    • Cancer, Lipids, and Metabolism

Papers in

    • Liver physiology and pathology 11
    • Cancer, Hypoxia, and Metabolism 12
    • Cancer, Lipids, and Metabolism 12

Frank Dombrowski

154 papers receiving 5.9k citations

Peers

Frank Dombrowski
Comparison fields: 5 of 139
  • Hepatology 967
  • Cancer Research 1.3k
  • Cell Biology 727
  • Molecular Biology 2.8k
  • Oncology 1.0k
Replace Matthias Evert with:
Matthias Evert Germany
Takahiro Kodama Japan
Hai Huang China
Qiang Xia China
Jesús M. Bañales Spain
Wei‐Fen Xie China
Beicheng Sun China
Wolfgang E. Thasler Germany
Steven Dooley Germany
Joe W. Grisham United States
Frank Dombrowski relative to Matthias Evert Germany Matthias Evert's profile →
Citations per field
00.5×1.5×
Matthias Evert · 1×
Citations per year

Countries citing papers authored by Frank Dombrowski

Since Specialization
Citations

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

Fields of papers citing papers by Frank Dombrowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20253
2 20242
3 20222
4 202112
5 202127
6 201947
7 201931
8 201919
9 201828
10 201670
11 201627
12 201519
13 201510
14 201595
15 201317
16 201342
17 201048
18 20027
19 20007
20 2000222

About Frank Dombrowski

Frank Dombrowski is a scholar working on Hepatology, Cancer Research, Cell Biology, Surgery and Molecular Biology, having authored 157 papers that have together received 5.9k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (22 papers), Pancreatic function and diabetes (21 papers), PI3K/AKT/mTOR signaling in cancer (12 papers), Metabolism, Diabetes, and Cancer (12 papers), Endoplasmic Reticulum Stress and Disease (12 papers), Cancer, Hypoxia, and Metabolism (12 papers), Cancer, Lipids, and Metabolism (12 papers) and Liver physiology and pathology (11 papers). The work is most often cited by research in Hepatology (967 citations), Cancer Research (1.3k citations), Cell Biology (727 citations), Molecular Biology (2.8k citations) and Oncology (1.0k citations). Frank Dombrowski has collaborated with scholars based in Germany, United States and Italy. Frequent co-authors include Matthias Evert, Diego F. Calvisi, Xin Chen, Silvia Ribback, Antonio Cigliano, Sara Ladu, Thomas Minor, U. Pfeifer, Salvatore Delogu and Chunmei Wang. Their work appears in journals such as Hepatology, Oncotarget, Journal of Hepatology, Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin and Scientific Reports.

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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