Mohammad Rahbari

1.1k citations
23 papers · 375 · 1 hit paper · h-index 10

Impact in

  • Hepatology top 10%
    • Hepatocellular Carcinoma Treatment and Prognosis
    • Pancreatic and Hepatic Oncology Research

Papers in

    • Extracellular vesicles in disease 2
    • Angiogenesis and VEGF in Cancer 2
    • Hepatocellular Carcinoma Treatment and Prognosis 5

Mohammad Rahbari

20 papers receiving 373 citations

Mohammad Rahbari's Hit Papers

A researcher’s guide to preclinical mouse NASH models 2022 · 113 citations
1130+1+2Years since publication255075100

Peers

Mohammad Rahbari
Comparison fields: 5 of 70
  • Hepatology 72
  • Oncology 92
  • Cancer Research 48
  • Epidemiology 95
  • Endocrinology, Diabetes and Metabolism 25
Replace Penghao Kuang with:
Penghao Kuang China
Jiequn Li China
Zhiyun Yang China
Noriyuki Akutsu Japan
Kaoru Iwata Japan
Laura Mastrangelo Italy
Haifeng Lin China
Kee‐Hwan Kim South Korea
Qigen Li China
Mohammad Rahbari relative to Penghao Kuang China Penghao Kuang's profile →
Citations per field
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Penghao Kuang · 1×
Citations per year

Countries citing papers authored by Mohammad Rahbari

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad Rahbari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A researcher’s guide to preclinical mouse NASH models
Hit paper breakdown →
2022113
2 202139
3 201638
4 201631
5 201928
6 201224
7 201723
8 201915
9 202215
10 202312
11 20227
12 20216
13 20236
14 20205
15 20194
16 20214
17 20222
18 20241
19 20251
20 20181

About Mohammad Rahbari

Mohammad Rahbari is a scholar working on Molecular Biology, Hepatology, Oncology, Cell Biology and Immunology, having authored 23 papers that have together received 375 indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (5 papers), Extracellular vesicles in disease (2 papers), Angiogenesis and VEGF in Cancer (2 papers), Pancreatic and Hepatic Oncology Research (2 papers), Ferroptosis and cancer prognosis (1 paper), Galectins and Cancer Biology (1 paper), Membrane Separation Technologies (1 paper) and Endoplasmic Reticulum Stress and Disease (1 paper). The work is most often cited by research in Hepatology (72 citations), Oncology (92 citations), Cancer Research (48 citations), Epidemiology (95 citations) and Endocrinology, Diabetes and Metabolism (25 citations). Mohammad Rahbari has collaborated with scholars based in Germany, United States and Hungary. Frequent co-authors include Nuh N. Rahbari, Christoph Reißfelder, Mathias Heikenwälder, Suchira Gallage, Adnan Ali, Nisar P. Malek, Pierluigi Ramadori, Jose Efren Barragan Avila, Quentin M. Anstee and Enrico Focaccia. Their work appears in journals such as Surgical Endoscopy, Annals of Surgery, Nature Metabolism, Nature reviews. Cancer and Oncotarget.

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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