Ruby Lieshout

2.2k citations
11 papers · 311 · h-index 10

Impact in

  • Hepatology top 10%
    • Liver physiology and pathology
    • Cancer Cells and Metastasis
    • Pancreatic and Hepatic Oncology Research

Papers in

    • Cholangiocarcinoma and Gallbladder Cancer Studies 8
    • Tissue Engineering and Regenerative Medicine 2
    • Liver physiology and pathology 4
    • Hepatocellular Carcinoma Treatment and Prognosis 1

Ruby Lieshout

11 papers receiving 309 citations

Peers

Ruby Lieshout
Comparison fields: 5 of 61
  • Hepatology 79
  • Oncology 128
  • Cancer Research 64
  • Surgery 116
  • Biotechnology 18
Replace Qungang Shan with:
Qungang Shan China
Toshihide Muramatsu Japan
Jiangjiao Zhou China
Zhengyan Zhu China
Emilien Loeuillard United States
Xiaohui Qian China
Tian‐Run Lv China
Kunsong Zhang China
Tomoya Kawase Japan
Ruby Lieshout relative to Qungang Shan China Qungang Shan's profile →
Citations per field
00.5×1.5×2.2×
Qungang Shan · 1×
Citations per year

Countries citing papers authored by Ruby Lieshout

Since Specialization
Citations

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

Fields of papers citing papers by Ruby Lieshout

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 202081
2 202263
3 202236
4 201735
5 201927
6 202127
7 202212
8 202210
9 202210
10 20219
11 20201

About Ruby Lieshout

Ruby Lieshout is a scholar working on Surgery, Hepatology, Cancer Research, Oncology and Pathology and Forensic Medicine, having authored 11 papers that have together received 311 indexed citations. Recurring topics across this work include Cholangiocarcinoma and Gallbladder Cancer Studies (8 papers), Liver physiology and pathology (4 papers), MicroRNA in disease regulation (2 papers), Tissue Engineering and Regenerative Medicine (2 papers), Hepatocellular Carcinoma Treatment and Prognosis (1 paper), Cancer Genomics and Diagnostics (1 paper), Cancer, Hypoxia, and Metabolism (1 paper) and Medical Imaging and Pathology Studies (1 paper). The work is most often cited by research in Hepatology (79 citations), Oncology (128 citations), Cancer Research (64 citations), Surgery (116 citations) and Biotechnology (18 citations). Ruby Lieshout has collaborated with scholars based in Netherlands, Germany and Italy. Frequent co-authors include Monique M.A. Verstegen, Luc J. W. van der Laan, Jorke Willemse, Jaap Kwekkeboom, Guoying Zhou, Dave Sprengers, Maikel P. Peppelenbosch, Gilles van Tienderen, Martin E. van Royen and Jiaye Liu. Their work appears in journals such as Cells, Liver International, British Journal of Cancer, Acta Biomaterialia and Journal of Hepatology.

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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