Geng Hu

750 citations
24 papers · 595 · h-index 11

Impact in

Papers in

    • Metabolomics and Mass Spectrometry Studies 2
    • Gut microbiota and health 2
    • MicroRNA in disease regulation 3
    • Cancer-related molecular mechanisms research 3
    • Protease and Inhibitor Mechanisms 2

Geng Hu

21 papers receiving 583 citations

Peers

Geng Hu
Comparison fields: 5 of 84
  • Immunology and Allergy 112
  • Cancer Research 247
  • Hematology 106
  • Molecular Biology 299
  • Hepatology 31
Replace Hideo Maki with:
Hideo Maki Japan
Abdo J. Najy United States
Keiji Kikuchi Japan
Lilian Montero Switzerland
Heléne Piccard Belgium
E J Clark United States
Eli Berg Norway
Pernille A. Usher Denmark
Stefano Marastoni Italy
Daniel J. Schroen United States
Geng Hu relative to Hideo Maki Japan Hideo Maki's profile →
Citations per field
00.5×
Hideo Maki · 1×
Citations per year

Countries citing papers authored by Geng Hu

Since Specialization
Citations

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

Fields of papers citing papers by Geng Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Expression profiling suggested a regulatory role of liver-enriched transcription factors in human hepatocellular carcinoma.
2001165
2 1999129
3 200198
4 201440
5 199535
6 200226
7 199419
8 199915
9 202114
10 202212
11 199610
12 20228
13 20237
14 19954
15 20172
16 20222
17 20222
18 20232
19
[Establishment of malignant progression associated gene expression profiles in human brain glioma].
20032
20 20252

About Geng Hu

Geng Hu is a scholar working on Molecular Biology, Cancer Research, Physiology, Immunology and Allergy and Immunology, having authored 24 papers that have together received 595 indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (4 papers), MicroRNA in disease regulation (3 papers), Cancer-related molecular mechanisms research (3 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Adipose Tissue and Metabolism (2 papers), Gut microbiota and health (2 papers), Immune Cell Function and Interaction (2 papers) and Protease and Inhibitor Mechanisms (2 papers). The work is most often cited by research in Immunology and Allergy (112 citations), Cancer Research (247 citations), Hematology (106 citations), Molecular Biology (299 citations) and Hepatology (31 citations). Geng Hu has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include David J. Loskutoff, Scott A. Curriden, Gang Deng, Ralf‐Peter Czekay, Gary G. Deng, Lingyan Xu, Hui Liu, Yu Jin, Yijun Wang and Xiaoyun Wu. Their work appears in journals such as Journal of Cellular Biochemistry, Inflammation Research, Poultry Science, Cell Research and Allergy.

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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