Hao Geng

2.3k citations
105 papers · 1.6k · h-index 23

Impact in

Papers in

    • Epigenetics and DNA Methylation 7
    • Genomics, phytochemicals, and oxidative stress 7
    • Bacterial Genetics and Biotechnology 7

Hao Geng

99 papers receiving 1.6k citations

Peers

Hao Geng
Comparison fields: 5 of 115
  • Cancer Research 322
  • Reproductive Medicine 129
  • Molecular Medicine 70
  • Molecular Biology 827
  • Geriatrics and Gerontology 35
Replace Emad A. Ahmed with:
Emad A. Ahmed Egypt
Sonia Shalini Australia
Haixin Li China
Mark D'Arcy United Kingdom
Xue Xiao China
Xingyu Liu China
Xiaolin Luo China
Milad Bastami Iran
Gwo‐Tarng Sheu Taiwan
Zhaoqi Li United States
Hao Geng relative to Emad A. Ahmed Egypt Emad A. Ahmed's profile →
Citations per field
00.5×3.2×
Emad A. Ahmed · 1×
Citations per year

Countries citing papers authored by Hao Geng

Since Specialization
Citations

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

Fields of papers citing papers by Hao Geng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 105 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011177
2 2012136
3 200671
4 201357
5 201857
6 200952
7 201938
8 201533
9
Inhibition of tobacco smoke-induced bladder MAPK activation and epithelial-mesenchymal transition in mice by curcumin.
201532
10 201031
11 201031
12 202129
13 201528
14 202127
15 200426
16 202125
17 202225
18 200424
19 202224
20 201624

About Hao Geng

Hao Geng is a scholar working on Molecular Biology, Genetics, Reproductive Medicine, Cancer Research and Oncology, having authored 105 papers that have together received 1.6k indexed citations. Recurring topics across this work include Sperm and Testicular Function (11 papers), Reproductive Biology and Fertility (8 papers), Epigenetics and DNA Methylation (7 papers), Bacterial Genetics and Biotechnology (7 papers), Genomics, phytochemicals, and oxidative stress (7 papers), Cancer Cells and Metastasis (6 papers), Sexual function and dysfunction studies (6 papers) and Cancer-related Molecular Pathways (5 papers). The work is most often cited by research in Cancer Research (322 citations), Reproductive Medicine (129 citations), Molecular Medicine (70 citations), Molecular Biology (827 citations) and Geriatrics and Gerontology (35 citations). Hao Geng has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Tomasz M. Beer, David Z. Qian, Changhui Xue, Qiong Liu, Michiko Nakano, Chris T. Harvey, Caiyun Zhong, Janét Pittsenbarger, Shunji Nakano and Zhaofeng Liang. Their work appears in journals such as Journal of Bacteriology, Reproductive Biology and Endocrinology, BioMed Research International, Andrologia and Clinical Genetics.

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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